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  • Undetermined  (62)
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  • Basel : MDPI - Multidisciplinary Digital Publishing Institute  (62)
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  • Undetermined  (62)
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  • 1
    Online Resource
    Online Resource
    Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036593098 , 9783036593081
    Language: Undetermined
    Pages: 1 Online-Ressource (330 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The relationship between individuality and aggregation is an important topic in Complex Systems Science, as both aspects are facets of emergence. This problem has generally been addressed by adopting a classical individual- versus population-level approach, in which boundaries emerge in segregated communities. More specifically, boundaries delimiting and interconnecting aggregates are at play. It is, therefore, crucial to define the properties of complex systems correctly, such as generic agent-based models, with which to simulate communities situated in grid- and scale-free network environments. To do this, complexities may be resolved through simulation, modeling and analysis techniques, which help provide confidence regarding the behavior of such systems, especially of those operating in dynamic environments or under unexpected constraints. Moreover, modeling and simulation help reduce the risks and costs involved in the design and development of validation tests
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  • 2
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    A Themed Issue on Mathematical Inequalities, Analytic Combinatorics and Related Topics in Honor of Professor Feng Qi (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036590011 , 9783036590004
    Language: Undetermined
    Pages: 1 Online-Ressource (182 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The purpose of this Special Issue is to pay tribute to the significant contributions made by Professor Feng Qi in these fields and to provide some important recent advances in theory, methods, and applications
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  • 3
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    Energy-Efficient Communication Networks and Systems (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036589664 , 9783036589671
    Language: Undetermined
    Pages: 1 Online-Ressource (368 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The reprint “Energy-efficient communication networks and systems” gives insights into the range of problems in the field of obtaining more energy-efficient communication networks and systems. The reprint contains the outcomes of the “Special Issue on energy-efficient communication networks and systems” organized for the Sensors journal published by the Multidisciplinary Digital Publishing Institute (MDPI). The 12 high-quality papers published in the frame of the Sensors journal Special Issue have been collected and reproduced in this book, demonstrating significant achievements in the field to which this reprint is dedicated.Published papers consolidated in this reprint are self-contained peer-reviewed scientific works. Among published papers, one paper is editorial, one paper is a review type of paper, and the remaining ten articles are research articles. The papers are authored by 40 authors coming from academia and industry. The published articles target the improvement of energy efficiency in the fields of fiber-wireless, vehicle-to-vehicle/infrastructure, sensors, satellites, 5G, virtual elements, and cognitive radio networks. The contributions of published papers provide valuable insights into the latest research and technologies for improving the energy efficiency of communication networks and systems.This reprint can serve the readers as a source of information when needed in their industrial, teaching and/or research and development activities since it presents the recent advances in different fields related to improving the energy efficiency of communication networks and systems
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  • 4
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    Numerical Methods and Computer Simulations in Energy Analysis (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036592008 , 9783036592015
    Language: Undetermined
    Pages: 1 Online-Ressource (628 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Numerical analysis and computer simulations are becoming increasingly important in modeling of new sources and methods of harvesting, transforming and storing energy from its renewable sources. A similar trend is also observed in relation to environmental impacts on people and the buildings in which they use to live or stay, as well as the impact of everyday devices, machines and industrial installations on the quality of air and drinking water. This collection provides an overview of contemporary methods, algorithms and results in this broad and important field of human knowledge. Particularly noteworthy here are works in the area of machine learning and artificial intelligence, where the progress of computer methods and the interest of researchers from many fields seem to be the greatest. The use of statistical and stochastic algorithms that make it possible to take into account the impact of wind, humidity, moisture, temperature and sunlight on the immediate human environment remains still a great challenge
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  • 5
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    Deep Learning and Computer Vision in Remote Sensing-II (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036593647 , 9783036593654
    Language: Undetermined
    Pages: 1 Online-Ressource (378 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Computer Vision (CV) have seen a massive rise in popularity in the remote sensing field over the last few years. This success is mostly due to the effectiveness of deep learning (DL) algorithms. However, remote sensing data acquisition and annotation, as well as information extraction from massive remote sensing data, are still challenging. This reprint collected novel developments in the field of deep learning and computer vision methods for remote sensing. Papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems, have been published. With practical examples and real-world case studies, this reprint provides a valuable resource for researchers, professionals, and students seeking to harness the power of deep learning in the field of remote sensing. Here are some major topics that are addressed in this reprint: Satellite image processing and analysis based on deep learning; Deep learning for object detection, image classification, and semantic and instance segmentation; Deep learning for remote sensing scene understanding and classification; Transfer learning, deep reinforcement learning for remote sensing; Supervised and unsupervised representation learning for remote sensing environments
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  • 6
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    IoT for Energy Management Systems and Smart Cities (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036591520 , 9783036591537
    Language: Undetermined
    Pages: 1 Online-Ressource (512 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Smart cities represent a great advance in terms of sustainability, energy efficiency and being able to respond to the needs of enterprises, institutions and inhabitants. In this sense, smart grids contribute to the development of smart cities in the field of electrical energy, including concepts such as renewable energies, distributed generation, energy efficiency and smart homes and automation. In order to be able to implement all the functionalities of smart grids, it is necessary to have real-time information about the different installations. In this sense, IoT plays a fundamental role in developing smart grids. Cloud computing, which integrates the data obtained via smart electrical meters, smart electrical power analyzers and other intelligent metering devices, contributes to the availability of the measured data in real time and provides intelligence to existing electrical networks. Wireless communication networks, especially LPWANs, allow the construction of devices with low energy consumption and high operating autonomy, which can be installed in different locations, even those that are difficult to access. The massive implantation of the electric vehicle implies the construction of charging stations. These stations must use renewable energy sources that contribute to saving fossil fuels, reducing CO2 and increasing the sustainability of electric mobility
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  • 7
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    Online Resource
    Machine-Learning-Assisted Intelligent Processing and Optimization of Complex Systems (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036590592 , 9783036590585
    Language: Undetermined
    Pages: 1 Online-Ressource (292 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This reprint contains 15 articles from the Special Issue of the MDPI journal Processes on "Machine Learning-Assisted Intelligent Processing and Optimization of Complex Systems". These articles focus on the most recent developments in intelligent optimization methods and their applications in various test cases. The reprint covers various topics, including distributed multiagent modeling, metaheuristic algorithms, multisource data fusion, mobile computing and mobile sensing, machine learning-based intelligent processing for modeling complex manufacturing systems, and data-driven intelligent modeling.Focusing on the abovementioned subjects, this reprint can be useful for researchers interested in intelligent optimization techniques and their applications in the fields of artificial intelligence and machine learning. We believe that this reprint will encourage the convergence between many communities
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  • 8
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    Deep Learning in Big Data, Image, and Signal Processing in the Modern Digital Age (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036590981 , 9783036590998
    Language: Undetermined
    Pages: 1 Online-Ressource (452 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wealth of domain-specific information they hold. These data play a critical role in addressing issues like national security, cybersecurity, marketing, medical informatics, and fraud detection. Deep learning techniques have gained immense popularity. They empower the analysis and understanding of vast amounts of unsupervised data, making them invaluable for processing when raw data lack categorization and labels. These applications extend to working with medical images and signal processing for wellness devices, remote monitoring, and neural devices. In industrial settings, data can be used for early warning systems in assembly lines, while massive datasets can be derived from electronic health records and hospital information systems, for example. This reprint is dedicated to exploring the application of deep learning in tackling significant challenges related to big data, images, and signals. It seeks to unravel the potential of these cutting-edge technologies in addressing complex real-world problems across diverse sectors
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  • 9
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    New Insights in Machine Learning and Deep Neural Networks (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036589824 , 9783036589831
    Language: Undetermined
    Pages: 1 Online-Ressource (258 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: In this Special Issue we gathered ten exemplary papers, each delineating advancements within the spheres of machine learning and deep neural networks. Commencing with a thorough exploration by Figueira and Vaz, readers are introduced to the nuances of synthetic data generation and evaluation, followed closely by Silva and Pedroso's systematic approach to leveraging deep reinforcement learning within the intricate realm of delivery logistics. Kamran et al. contribute an astute methodology for camouflage object segmentation, whereas Pinheiro and collaborators offer a crafted semi-supervised strategy for predicting EGFR mutations via CT images. Subsequent contributions, such as Lee and Yoo's framework for portrait emotion recognition and Balakrishnan et al.'s analytical exploration of transformer models for Twitter disaster detection, further exemplify the depth of research contained herein. Later chapters cover a broad spectrum of themes: Li, Branco, and Zhang investigate house price prediction; Aziz and his team delve into the geo-spatial analysis of hate speech; Nazari, Branco, and Jourdan introduce innovations in GAN training methodologies; and Xie and Lin present CNN models meticulously tailored for ectopic beat classification. In its entirety, this Special Issue represents progressive strides in machine learning and deep neural networks made by distinguished scholars. It offers readers an insightful overview of both the current state-of-the-art methodologies and the burgeoning innovations within this exciting field
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  • 10
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    Advanced Cybersecurity Services Design (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036592404 , 9783036592411
    Language: Undetermined
    Pages: 1 Online-Ressource (286 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This Special Issue includes 14 contributions, with 2 review contributions and 12 research contributions. The review contributions provide a survey with an overview of the state of the art in detecting and projecting cyber-attack scenarios, and the review of a specific application area, the safety of autonomous haulage systems in the mining environment related to both cybersecurity and communication. 10 research contributions are addressing the area of advanced services for intrusion detection systems: (a) the use of different machine learning models depending on the specific scenarios and datasets; (b) the use of deep learning techniques for the detection of zero-day attacks; (c) a proposal of an integrated scalable framework aimed at efficiently detecting anomalous events on large amounts of unlabeled data logs; (d) a spatiotemporal characterization of cyber-attacks for detecting such attacks; (e) a two-stage intrusion detection system for industrial control networks; (f) a chatbot for detecting online sex offenders, based on an artificial conversational entity (ACE); and (g) an open-source platform for manipulating both streaming and archived network flow data in real time. This Special Issue also contains two protection-related research contributions, including: (a) a countermeasure for on–off web defacement attacks and (b) the evaluation of multi-path routing as a protection feature against network attacks and failures
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  • 11
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    Advance in Digital Signal, Image and Video Processing (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036584546 , 9783036584553
    Language: Undetermined
    Pages: 1 Online-Ressource (272 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This reprint discussed Coding and compression; Content storing and management; Electronic media; Internet technology; Image and video signals; Multimedia processing; Quality of experience (QoE); Quality of service (QoS); Signal processing; Streaming services; Subjective and objective metrics; User experience (UX)
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  • 12
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    Synthesis, Characterization and Applications of Sustainable Advanced Nanomaterials (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036569130 , 9783036569123
    Language: Undetermined
    Pages: 1 Online-Ressource (296 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This Special Issue highlights the last decade’s progress regarding new nanostructured materials. In this regard, the development of nanoscale syntheses and innovative characterization tools resulted in the tailored design of nanostructured materials with versatile abilities in many applications were investigated. Various types of engineered nanostructures, usually metal nanoparticles or nanoporous metal oxides, have been synthesized for various applications. This Special Issue covers the state-of-the-art of advanced nanoparticles in many disciplines (chemistry, pharmacy, nano-medicine, agriculture, catalysis, and environmental science). The Special Issue entitled, Synthesis, Characterization and Application of Sustainable Advanced Nanomaterials, including 18 original research works, focuses on highlighting the progress, challenges, and future directions in the area of the synthesis and characterization of nanomaterials and nanostructures with multiple applications in chemistry, physics, biology, and medicine [1-3]
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  • 13
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    Variational Problems and Applications (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036565897 , 9783036565880
    Language: Undetermined
    Pages: 1 Online-Ressource (222 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The current reprint presents studies of uncertain variational problems. It aims to develop the research in this field by formulating and demonstrating some characterization results of well-posedness and robust efficient solutions in new classes of (multiobjective) variational (control) problems governed by multiple and/or path-independent curvilinear integral cost functionals and robust mixed and/or isoperimetric constraints involving first- and second-order partial differential equations
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  • 14
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    Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036569802 , 9783036569819
    Language: Undetermined
    Pages: 1 Online-Ressource (292 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This volume is a reprint of the Honorary Special Issue dedicated to the 60th birthday of Professor Dr. Kalyanmoy Deb, published in the journal Mathematical and Computational Applications (MCA). Kalyanmoy Deb has been a pioneer and highly impactful and influential proponent of Evolutionary Multi-objective Optimization (EMO) since 1994. He is currently a Koenig Endowed Chair Professor and University Distinguished Professor in the Department of Electrical and Computer Engineering at Michigan State University, USA, and holds additional appointments in Mechanical Engineering and in Computer Science and Engineering. Professor Deb’s research interests are in evolutionary optimization and its application in multi-objective optimization, modeling, machine learning, and in multi-objective decision making. He has been a visiting professor at various universities across the world, including IITs in India, Aalto University in Finland, the University of Skovde in Sweden, and Nanyang Technological University in Singapore. He was awarded the IEEE Evolutionary Computation Pioneer Award, the Infosys Prize, the TWAS Prize in Engineering Sciences, the CajAstur Mamdani Prize, the Distinguished Alumni Award from IIT Kharagpur, the Edgeworth Pareto Award, the Bhatnagar Prize in Engineering Sciences, and the Bessel Research Award from Germany. He is a fellow of IEEE, ASME, and three Indian science and engineering academies
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  • 15
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    Computational Mathematics and Applied Statistics (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036575469 , 9783036575476
    Language: Undetermined
    Pages: 1 Online-Ressource (334 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Rapid advances in modelling research have created new challenges and opportunities for statisticians. Statistical inference in observational studies and many other emerging fields have motivated statisticians worldwide to develop cutting-edge methods and analytical strategies. The aim of this reprint is to showcase the applications and methodological research in all fields of computational statistics. This reprint will provide a forum for computer scientists, mathematicians, and statisticians working in a variety of areas in statistics, including biometrics, econometrics, data analysis, graphics, and simulation
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  • 16
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    Applications of Computational Intelligence (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036570389 , 9783036570396
    Language: Undetermined
    Pages: 1 Online-Ressource (332 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Computational Intelligence (CI) is the theory, design, application, and development of biologically and linguistically motivated computational paradigms. Traditionally, the three main pillars of CI have been neural networks, fuzzy systems, and evolutionary computation. However, in time, many nature-inspired computing paradigms have evolved. Thus, CI is an evolving field, and, at present, in addition to the three main constituents, it encompasses computing paradigms such as ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a major role in developing successful intelligent systems, including games and cognitive developmental systems. Over the last few years, there has been an explosion of research on deep learning, specifically deep convolutional neural networks, and deep learning has become the core method for artificial intelligence. In fact, some of the most successful AI systems today are based on CI. Therefore, this reprint focuses on the theoretical study of computational intelligence and its applications
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  • 17
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    Mathematical and Molecular Topology (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036583525 , 9783036583532
    Language: Undetermined
    Pages: 1 Online-Ressource (78 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This Special Issue, "Mathematical and Molecular Topology" welcomed papers from a broad interdisciplinary area, since topology is concerned with the properties of objects that are preserved under continuous deformations, such as stretching, twisting, crumpling and bending. One of the oldest problems in topology is The Seven Bridges of Königsberg. Topology naturally finds application in all fields of engineering, physical sciences, life sciences, social sciences, medicine, business and even arts. The motivating insight behind topology is that some geometric problems depend not on the exact shape of the objects involved, but rather on the way they are put together. Circa 1750, Euler stated the polyhedron formula, V − E + F = 2 (where V, E, and F respectively indicate the number of vertices, edges, and faces of the polyhedron), which may be regarded as the first theorem, signaling the birth of topology. Subjects included in topology are graph theory and algebraic topology
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  • 18
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    Advanced Intelligent Control in Robots (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036581484 , 9783036581491
    Language: Undetermined
    Pages: 1 Online-Ressource (452 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Advanced intelligent control is a rapidly developing, complex and challenging field with significant practical importance and potential applications. The authors aim to stimulate advancements in science and technology by addressing this field and presenting new trends in the design, control and applications of real-time intelligent sensor system control using advanced intelligent control methods and techniques. The purpose of the Special Issue is to promote in-depth research and communication regarding these topics. The authors focus on innovative multi-sensor fusion techniques integrated into robots, which are combined with computer vision, virtual and augmented reality (VR&AR) and intelligent communication including remote control, adaptive sensor networks and human–robot (H2R) interaction systems. Special attention is given to advancements in sensors, actuators, computation technology and communication networks that provide the necessary tools for implementing intelligent control hardware. These advancements are targeted toward various scientific research fields, including machine learning (such as deep learning), bio-inspired algorithms, recurrent neural networks, neuro-fuzzy control and artificial intelligence in general. The Special Issue includes original research papers that report on the recent advancements in intelligent control using intelligent sensors. It serves as a further extension of the previously successful Special Issue, “Advanced Intelligent Control through Versatile Intelligent Portable Platforms”
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  • 19
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    Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036572628 , 9783036572635
    Language: Undetermined
    Pages: 1 Online-Ressource (556 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The present reprint contains 33 articles accepted and published in the Special Issue entitled “Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics, 2022” in the MDPI journal, Mathematics, which covers a wide range of topics connected to the theory and applications of feature representation learning for image processing, artificial intelligence, data mining and robotics. These topics include, among others, elements from image blurring, image aesthetic quality assessment, pedestrian detection, visual tracking, vehicle re-identification, face recognition, 3D reconstruction, the stability of switched systems, domain adaption, deep reinforcement, sentiment analysis, graph convolutional networks, knowledge graphs, geometric metric learning, etc. It is hoped that this reprint will be interesting and useful for those working in the area of image processing, computer vision, machine learning, natural language processing and robotics, as well as for those with backgrounds in machine learning who are willing to become familiar with recent advancements in artificial intelligence, which, today, is present in almost all aspects of human life and activities
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  • 20
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    Advances in Boundary Value Problems for Fractional Differential Equations (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036577999 , 9783036577982
    Language: Undetermined
    Pages: 1 Online-Ressource (286 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This reprint covers new aspects of the recent developments in the theory and applications of fractional differential equations, including inclusions, inequalities, and systems of fractional differential equations with Riemann-Liouville derivatives, Caputo derivatives, or other generalized fractional derivatives, subject to various boundary conditions. The authors study the existence, uniqueness, multiplicity, and nonexistence of classical or mild solutions, the approximation of solutions, and the approximate controllability of mild solutions for diverse mathematical models
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  • 21
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    Deep Learning Architecture and Applications (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036588308 , 9783036588315
    Language: Undetermined
    Pages: 1 Online-Ressource (406 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This collection gathers the advanced studies of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics cover, but are not limited to, supervised learning, explainable deep learning, finance, healthcare, and sciences
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  • 22
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    Big Data Analytics for Cultural Heritage (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036563268 , 9783036563275
    Language: Undetermined
    Pages: 1 Online-Ressource (210 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: In this edition, we focused on big data analytics methods and tools that have been specifically developed for the domain of cultural heritage, as well as on experiences from the adaptation and/or application of general-purpose solutions in the domain of cultural heritage. The aim was to gather solutions, but also to summarise the lessons learnt, methodologies, and good practices that researchers and practitioners can use as a basis for their own work in the domain
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  • 23
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    New Developments in Geometric Function Theory (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036563459 , 9783036563442
    Language: Undetermined
    Pages: 1 Online-Ressource (196 p.)
    Keywords: Mathematics & science ; Computer science
    Abstract: The book contains papers published in a Special Issue of Axioms, entitled "New Developments in Geometric Function Theory". An Editorial describes the 14 papers devoted to the study of complex-valued functions which present new outcomes related to special classes of univalent and bi-univalent functions, new operators and special functions associated with differential subordination and superordination theories, fractional calculus, and certain applications in geometric function theory
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  • 24
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    Mobile Health Technologies for Ambient Assisted Living and Healthcare (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036570266 , 9783036570273
    Language: Undetermined
    Pages: 1 Online-Ressource (240 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The use of telemedicine and mobile devices is growing, and sensors might aid in creating creative solutions. Developing these solutions is crucial for monitoring senior citizens, lifestyles, and medical procedures. This Special Issue’s goal was to bring together academics and professionals in healthcare and medicine interested in using information and communication technologies (ICT) to serve people with special needs. The development of assistive technology for various users to follow sports and other activities is strongly tied to this study area. Data protection is crucial, and the development of these solutions for medical uses should be verified. The security and privacy of the information may be tied to other recognized research projects for their acceptability. ICT research has considerably improved quality of life and has fully assimilated all citizens into society through medical rehabilitation and assistive technology. The technologies and research fields that influence medical informatics include databases, networking, graphical user interfaces, data mining, machine learning, intelligent decision support systems, and specialized programming languages. Because mobile devices are commonly used for several everyday chores and are equipped with sensors that monitor various physical and physiological indicators, it is crucial to encourage the development of m-Health and e-Health solutions for healthcare practitioners. In this area, several solutions are now being developed. In addition, they can collaborate with emerging technologies for social assistance while enhancing life quality
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    Recent Advances in Machine Learning and Computational Intelligence (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036574820 , 9783036574837
    Language: Undetermined
    Pages: 1 Online-Ressource (216 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Machine learning and computational intelligence have been applied to various areas and witnessed many successes. The research in this publication explorse many intelligent algorithms which are characterized by computational adaptability, robustness, and high performance. These algorithms facilitate intelligent behavior in complex and dynamic environments and the development of technology that enables machines to think, behave, or act in a more humanesque fashion. This reprint aims to present and discuss the most recent innovations, trends, concerns, challenges, solutions, and application fields in the areas of machine learning and computational intelligence
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    Dynamical Systems in Engineering (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036571096 , 9783036571089
    Language: Undetermined
    Pages: 1 Online-Ressource (248 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This collection of articles includes the latest results related to applications of dynamical systems in the mathematical modelling of engineering problems, such as those concerning power system dynamics, material science, energy systems, gas dynamical networks, etc.Its purpose is to bring together mathematicians with engineers and physicists, as well as other scientists. The articles accepted and included are of a high quality and have original research results
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    Computational Intelligence and Soft Computing: Recent Applications (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036561554 , 9783036561561
    Language: Undetermined
    Pages: 1 Online-Ressource (458 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The delicate balance of resource intensity and efficiency of a solution for a very complex problem raises the issue of how these aspects constitute a symmetrical or asymmetrical system. Computational Intelligence (CI) offers a plethora of efficient tools for the potential and rather good quality solution of highly complex, often mathematically intractable problems. This "toolbox" is one of the best examples for the study of the above mentioned issue, namely, how to find the best balance, how to establish a symmetry of weights or costs in a particular field, for a particular problem. This special issue presents a number of interesting novel applications of CI for the tackling of a wide variety of difficult problems. The Introduction gives a short insight into the symmetry and asymmetry aspect of the topic
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    Statistical Data Modeling and Machine Learning with Applications II (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036582009 , 9783036582016
    Language: Undetermined
    Pages: 1 Online-Ressource (344 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning
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    Scheduling: Algorithms and Applications (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036582764 , 9783036582771
    Language: Undetermined
    Pages: 1 Online-Ressource (276 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This reprint of a Special Issue in the journal Algorithms is dedicated to scheduling algorithms and their various applications. In addition to the Editorial, it contains 12 papers including a survey of assembly and production line design and scheduling under uncertainty. Other topics addressed in this reprint are the energy management of power systems, cost scheduling for financial data supply chains, staff scheduling in the construction industry, various assignment problems, single-lane roundabouts, robotic arm-based batching systems with conveyor belts, as well as single-machine and flow-shop scheduling problems
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    Mathematical Optimization and Evolutionary Algorithms with Applications (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036579788 , 9783036579795
    Language: Undetermined
    Pages: 1 Online-Ressource (384 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Optimization is present almost everywhere in real life, resulting in a wide spectrum of scientific and engineering areas with applications that can be formalized as optimization problems. This feature has fostered the development of research studies aiming to design and implement efficient optimization methods able to address the increasing complexity of applications that are intended to be solved. These studies are typically divided into two areas: one focuses on the theoretical development of advanced solution strategies through the perspective of tackling problems of increasing complexity; another toward developing problem-devoted techniques that aim to efficiently find high-quality solutions to specific applications drawn from a wide spectrum of areas (engineering, social sciences, biotechnologies, finances, etc.). The articles included in this reprint illustrate both types of studies. The reprint is a collection of all the articles accepted and published in the Special Issue titled "Mathematical Optimization and Evolutionary Algorithms with Applications” of the journal Mathematics. We hope that readers will benefit from the insights provided by these papers and contribute to the fast-paced growth of these areas. We also hope that the resulting mixture of methods, algorithms and applications for the treatment of complex optimization problems presented in this Special Issue, either through mathematical tools or metaheuristic algorithms, contributes to the development of research in this area
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    Causal Inference for Heterogeneous Data and Information Theory (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036580500 , 9783036580517
    Language: Undetermined
    Pages: 1 Online-Ressource (282 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The present reprint, “Causal Inference for Heterogeneous Data and Information Theory”, is a special issue of Journal Entropy. This Special Issue belongs to the section "Information Theory, Probability, and Statistics". The reprint gathers thirteen original contributions of leading experts in the theory of causal inference, focusing namely on the utilization of instrumental variables in a causal model, estimation of average treatment effect, the role of interventions in causal models, graphical causal modeling, causal algebras, causal modeling using the theory of categories, temporal causal model, heterogeneous data, and information–theoretic approaches
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    Various Deep Learning Algorithms in Computational Intelligence (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036581385 , 9783036581392
    Language: Undetermined
    Pages: 1 Online-Ressource (282 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This reprint highlights the importance of Deep Learning (DL), which has garnered significant attention in science, industry, and academia. It draws inspiration from the functioning of the human brain and the concept of learning. Unlike traditional and machine learning methods, deep learning techniques emulate the human brain's neural networks at a lower scale, allowing them to process and analyze substantial quantities of unstructured data. The remarkable proficiency of deep learning in unveiling intricate structures within extensive datasets genuinely resembles the extraordinary aptitude of the brain to recognize patterns and form complex connections. This unique characteristic allows DL to excel in modeling and solving complex problems across various scientific and technological fields. Just as the brain learns from experience, DL architectures learn through algorithms from data by adjusting numerous parameters during training to optimize their performance and accuracy. This concept of learning and adaptation is fundamental to DL's success. This reprint serves as an excellent opportunity to disseminate current knowledge beyond academic boundaries, reaching a diverse audience encompassing academics, professionals, and the general public. This wide readership fosters the potential for meaningful connections to established projects and the cultivation of collaboration for future research endeavors
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    Recent Advances in Swarm Intelligence Algorithms and Their Applications (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036582542 , 9783036582559
    Language: Undetermined
    Pages: 1 Online-Ressource (494 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This reprint comprises a collection of 20 articles that were accepted and published in the Special Issue titled " Recent Advances in Swarm Intelligence Algorithms and Their Applications" of the MDPI journal Mathematics. These articles cover a wide range of topics related to swarm intelligence algorithms and their theories. The topics include improvements in algorithm mechanisms, fusion algorithms, multiobjective optimization, and the optimization of large-scale problems, as well as the application of swarm intelligence in various fields such as engineering optimization problems, vehicle swarm motion, viscoelastic Maxwell-type DVA, and deep learning. It is hoped that this reprint will be helpful for scholars engaged in the field of swarm intelligence and also suitable for researchers interested in staying updated with the latest advancements in swarm intelligence algorithms and their applications. Nowadays, swarm intelligence is closely intertwined with various aspects of life. This reprint aims to provide readers with an understanding of these developments and further expand the application boundaries of such algorithms
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    Security and Privacy for Modern Wireless Communication Systems (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036582283 , 9783036582290
    Language: Undetermined
    Pages: 1 Online-Ressource (308 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The aim of this reprint focuses on the latest protocol research, software/hardware development and implementation, and system architecture design in addressing emerging security and privacy issues for modern wireless communication networks. Relevant topics include, but are not limited to, the following: deep-learning-based security and privacy design; covert communications; information-theoretical foundations for advanced security and privacy techniques; lightweight cryptography for power-constrained networks; physical layer key generation; prototypes and testbeds for security and privacy solutions; encryption and decryption algorithm for low-latency constrained networks; security protocols for modern wireless communication networks; network intrusion detection; physical layer design with security consideration; anonymity in data transmission; vulnerabilities in security and privacy in modern wireless communication networks; challenges of security and privacy in node–edge–cloud computation; security and privacy design for low-power wide-area IoT networks; security and privacy design for vehicle networks; security and privacy design for underwater communications networks
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    Lesion Detection and Analysis Using Optical Imaging (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036579900 , 9783036579917
    Language: Undetermined
    Pages: 1 Online-Ressource (150 p.)
    Keywords: Medicine ; Pharmacology ; Information technology industries ; Computer science ; Technology: general issues ; History of engineering & technology
    Abstract: This Special Issue contains new developments and advanced ideas in optical spectroscopy and imaging for their active translation to biological and clinical practice. The published manuscripts provide new insight into state-of-the-art modern methods of biomedical optics and provides new knowledge to potential readers about possible areas of their application. It highlights the advantages and unique features of using optical diagnostic technologies in the detection and analysis of lesions. The articles discuss the development and application of optical methods, expanding the current diagnostic capabilities of various diseases, and other aspects of the use of spectroscopy and imaging in biology and clinical practice
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    Applied Machine Learning (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036579061 , 9783036579078
    Language: Undetermined
    Pages: 1 Online-Ressource (808 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, machine learning models; undertakes critical comparisons with existing techniques; and presents an interpretation of the results. The topics within the chapters of the publication fall into six categories: computer vision, teaching and learning, social media, forecasting, basic problems of machine learning, and other topics
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    Numerical and Evolutionary Optimization 2021 (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036579047 , 9783036579054
    Language: Undetermined
    Pages: 1 Online-Ressource (214 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications
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    Entropy in Real-World Datasets and Its Impact on Machine Learning (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036578484 , 9783036578491
    Language: Undetermined
    Pages: 1 Online-Ressource (278 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The topic of the reprint is very important nowadays, because ever-evolving machine learning techniques make it possible to obtain better real-world data. Therefore, this reprint contains information related to real data in fields such as automatic sign language translation, bike-sharing travel characteristics, stock index, sports data, fake news data, and more. However, it should be noted that the reprint also contains a lot of information on new developments in machine learning, new algorithms, algorithm modifications, and a new measure of classification quality assessment that also takes into account the preferences of the decision maker
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    Nonlinear Dynamical Systems with Applications (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036579979 , 9783036579962
    Language: Undetermined
    Pages: 1 Online-Ressource (178 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This Special Issue contains eleven accepted and published submissions to a Special Issue of the MDPI journal Axioms on the subject of “Nonlinear Dynamical Systems with Applications”. In this volume, the invited authors have submitted their latest results on nonlinear dynamical systems and related applications. All papers have been accepted after a rigorous review process
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    Review Papers in Big Data, Cloud-Based Data Analysis and Learning Systems (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036580005 , 9783036580012
    Language: Undetermined
    Pages: 1 Online-Ressource (224 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. This Special Issue includes high-quality research papers in the fields of big data, cloud-based data analysis, and machine learning systems. In particular, wide-ranging surveys and advanced research papers are included, focusing both on aspects relating to big data (e.g., frameworks for big data analysis or systems for big data management) and on the use of big data in application areas (e.g., big data from social media or big data from streams)
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    Control, Optimization, and Mathematical Modeling of Complex Systems (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036576404 , 9783036576411
    Language: Undetermined
    Pages: 1 Online-Ressource (438 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form the basis for the optimal design and control of complex systems. The present reprint contains all the articles accepted and published in the Special Issue of Mathematics entitled "Control, Optimization, and Mathematical Modeling of Complex Systems". This Special Issue is focused on recent theoretical and computational studies of complex systems modeling, control, and optimization. The topics addressed in this Special Issue cover a wide range of areas, including numerical simulation in physical, social, and life sciences; the modeling and analysis of complex systems based on mathematical methods and AI/ML approaches; control problems in robotics; design optimization of complex systems, modeling in economics and social sciences; stochastic models in physics and engineering; mathematical models in material science; and high-performance computing for mathematical modeling. It is our hope that the scientific results presented in this reprint will serve as valuable sources of documentation and inspiration to those seeking to delve into complex systems modeling, control, and optimization and examine their wide-ranging applications
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    Advances in Image Enhancement (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036579412 , 9783036579405
    Language: Undetermined
    Pages: 1 Online-Ressource (330 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: In the era of the Internet of Things, images have played important roles in human–computer interactions, and with the arrival of big data technology, people have higher requirements regarding image quality, especially for images collected in dark light. This can be addressed through the development of camera hardware quality, i.e., the resolution and exposure time of cameras, which may require high computational costs. As an alternative, image enhancement techniques can exact salient features to improve the quality of captured images according to the differences in diverse features, although they suffer from some challenges, i.e., a low contrast, artifacts, and overexposure, thus making it decidedly necessary to determine how to use advanced image enhancement techniques. The topic of advances in the image enhancement of electronics is presented in this reprint, which brings together the research accomplishments of researchers from academia and industry. The secondary goal of this reprint is to display the latest research results of advances in image enhancement
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    Computer Vision and Machine Learning for Intelligent Sensing Systems (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036578682 , 9783036578699
    Language: Undetermined
    Pages: 1 Online-Ressource (244 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality
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    Swarms and Network Intelligence (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036579207 , 9783036579214
    Language: Undetermined
    Pages: 1 Online-Ressource (234 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This reprint covers a wide range of topics related to collective intelligence, exploring the interplay between swarm intelligence, network intelligence, and other emerging technologies. The first set of chapters focuses on the behavior and mechanisms of swarming. One chapter describes a locust-inspired model of collective marching on rings, while another demonstrates the experimental validation of entropy-driven swarm exploration under sparsity constraints using sparse Bayesian learning. These studies provide new insights into the principles of swarming and its potential applications in fields such as robotics and mobile crowdsensing. The next set of chapters discusses the integration of swarm intelligence with other emerging technologies such as deep learning and graph theory. These studies show how swarm intelligence can be combined with other advanced technologies to solve complex problems and improve decision-making processes. The reprint also covers the topic of network intelligence, including the study of social network analysis, Twitter user activity, and crowd-sourced financial predictions. These studies provide insights into how network intelligence can be harnessed to understand social dynamics and improve decision-making processes in various domains. The reprint concludes with a chapter that proposes a generative design approach for the efficient mathematical modeling of complex systems
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    15th International Conference “Intelligent Systems” (INTELS’22) (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036592886 , 9783036592893
    Language: Undetermined
    Pages: 1 Online-Ressource (580 p.)
    Keywords: Information technology industries ; Computer science ; IT
    Abstract: The 15th International Conference "Intelligent Systems - 2022" (INTELS'22) was held on 14-16 December 2023 at the Russian Academy of Sciences, Moscow, Russia. It is a biennial event with a thirty-year history. INTELS'22 focused on the areas of intelligent systems and artificial intelligence, their theoretical aspects, and their application to sustainable development. Most of the papers are devoted to research and development of control systems in robotics. Both classical methods and modern methods based on machine learning are used to solve complex control problems
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    Applying the Free-Energy Principle to Complex Adaptive Systems (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036547732 , 9783036547749
    Language: Undetermined
    Pages: 1 Online-Ressource (214 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The free energy principle is a mathematical theory of the behaviour of self-organising systems that originally gained prominence as a unified model of the brain. Since then, the theory has been applied to a plethora of biological phenomena, extending from single-celled and multicellular organisms through to niche construction and human culture, and even the emergence of life itself. The free energy principle tells us that perception and action operate synergistically to minimize an organism's exposure to surprising biological states, which are more likely to lead to decay. A key corollary of this hypothesis is active inference-the idea that all behavior involves the selective sampling of sensory data so that we experience what we expect to (in order to avoid surprises). Simply put, we act upon the world to fulfill our expectations. It is now widely recognized that the implications of the free energy principle for our understanding of the human mind and behavior are far-reaching and profound. To date, however, its capacity to extend beyond our brain-to more generally explain living and other complex adaptive systems-has only just begun to be explored. The aim of this collection is to showcase the breadth of the free energy principle as a unified theory of complex adaptive systems-conscious, social, living, or not
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    Microlocal and Time-Frequency Analysis (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036531731 , 9783036531724
    Language: Undetermined
    Pages: 1 Online-Ressource (140 p.)
    Keywords: Computing & information technology ; Computer science
    Abstract: The present volume collects the contributions selected for publication in the Special Issue entitled "Microlocal and Time-Frequency Analysis" of the journal Mathematics, edited by Elena Cordero and S. Ivan Trapasso over 2020 and 2021
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    Recent Advances in Social Data and Artificial Intelligence 2019 (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036540214 , 9783036540221
    Language: Undetermined
    Pages: 1 Online-Ressource (498 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The importance and usefulness of subjects and topics involving social data and artificial intelligence are becoming widely recognized. This book contains invited review, expository, and original research articles dealing with, and presenting state-of-the-art accounts pf, the recent advances in the subjects of social data and artificial intelligence, and potentially their links to Cyberspace
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    Recent Advances in Linear and Nonlinear Optics (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036541174 , 9783036541181
    Language: Undetermined
    Pages: 1 Online-Ressource (168 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Sight is the dominant sense of mankind to apprehend the world at the earth scale and beyond the frontiers of the infinite, from the nanometer to the incommensurable. Primarily based on sunlight and natural and artificial light sources, optics has been the major companion of spectroscopy since scientific observation began. The invention of the laser in the early sixties has boosted optical spectroscopy through the intrinsic or specific symmetry electronic properties of materials at the multiscale (birefringence, nonlinear and photonic crystals), revealed by the ability to monitor light polarization inside or on the surface of designed objects. This Special Issue of Symmetry features articles and reviews that are of tremendous interest to scientists who study linear and nonlinear optics, all oriented around the common axis of symmetry. Contributions transverse the entire breadth of this field, including those concerning polarization and anisotropy within colloids of chromophores and metal/semiconducting nanoparticles probed by UV-visible and fluorescence spectroscopies; microscopic structures of liquid-liquid, liquid-gas, and liquid-solid interfaces; surface- and symmetry-specific optical techniques and simulations, including second-harmonic and sum-frequency generations, and surface-enhanced and coherent anti-Stokes Raman spectroscopies; orientation and chirality of bio-molecular interfaces; symmetry breaking in photochemistry; symmetric multipolar molecules; reversible electronic energy transfer within supramolecular systems; plasmonics; and light polarization effects in materials
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    Advances in Image Processing, Analysis and Recognition Technology (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036536057 , 9783036536064
    Language: Undetermined
    Pages: 1 Online-Ressource (386 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: For many decades, researchers have been trying to make computers' analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues still remain, resulting in the need for the development of novel approaches
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    Current Techniques and Materials in Dentistry (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036544137 , 9783036544144
    Language: Undetermined
    Pages: 1 Online-Ressource (168 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: With advances in dental materials and their clinical applications, as well as innovations in computer technology, dental treatment is constantly evolving. In particular, adhesion technology to the tooth surface, implant treatments, and the application of CAD/CAM technology are very interesting topics for clinical dentists. As a bonding technique, the influence of the pre-etched area of the tooth surface on the adhesive strength can be reduced by the new application of a functional monomer. Additionally, the effect of an advanced adhesive system as a universal adhesive-derived primer, when compared with the two-step adhesive, is helpful for updating the applications of new materials. Dental implants are one of the most interesting dental treatments. PEEK (polyetheretherketone) has recently been reported as a further innovation in polymer implant materials, although it has not yet met the requirements to be a biomechanical requirement. In the placement of mini-screws used in orthodontic treatments, micro-cracks caused by overtorquing in thick and hard bone, and the consequent heat production, can reduce the success rate. Computer-aided design/computer-aided manufacturing (CAD/CAM) techniques are becoming increasingly popular. Since complete dentures can be produced using an additive (3D printing) or subtractive (milling) process, CAD/CAM techniques for denture fabrication have many clinical and laboratory advantages. Innovative and convenient dental material technology will be more and more expected in the future. This book has limited findings, but we hope that your clinical capability will be integrated and upgraded
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    Data Science and Knowledge Discovery (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036543161 , 9783036543154
    Language: Undetermined
    Pages: 1 Online-Ressource (254 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Data Science (DS) is gaining significant importance in the decision process due to a mix of various areas, including Computer Science, Machine Learning, Math and Statistics, domain/business knowledge, software development, and traditional research. In the business field, DS's application allows using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data to support the decision process. After collecting the data, it is crucial to discover the knowledge. In this step, Knowledge Discovery (KD) tasks are used to create knowledge from structured and unstructured sources (e.g., text, data, and images). The output needs to be in a readable and interpretable format. It must represent knowledge in a manner that facilitates inferencing. KD is applied in several areas, such as education, health, accounting, energy, and public administration. This book includes fourteen excellent articles which discuss this trending topic and present innovative solutions to show the importance of Data Science and Knowledge Discovery to researchers, managers, industry, society, and other communities. The chapters address several topics like Data mining, Deep Learning, Data Visualization and Analytics, Semantic data, Geospatial and Spatio-Temporal Data, Data Augmentation and Text Mining
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  • 53
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    In Memoriam, Solomon Marcus (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036534756 , 9783036534763
    Language: Undetermined
    Pages: 1 Online-Ressource (148 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This book commemorates Solomon Marcus's fifth death anniversary with a selection of articles in mathematics, theoretical computer science, and physics written by authors who work in Marcus's research fields, some of whom have been influenced by his results and/or have collaborated with him
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  • 54
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    The 8th International Conference on Time Series and Forecasting (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036554525 , 9783036554518
    Language: Undetermined
    Pages: 1 Online-Ressource (434 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The aim of ITISE 2022 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees. Therefore, ITISE 2022 is soliciting high-quality original research papers (including significant works-in-progress) on any aspect time series analysis and forecasting, in order to motivating the generation and use of new knowledge, computational techniques and methods on forecasting in a wide range of fields
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  • 55
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    Natural Language Processing: Emerging Neural Approaches and Applications (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036522715 , 9783036522722
    Language: Undetermined
    Pages: 1 Online-Ressource (544 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This Special Issue highlights the most recent research being carried out in the NLP field to discuss relative open issues, with a particular focus on both emerging approaches for language learning, understanding, production, and grounding interactively or autonomously from data in cognitive and neural systems, as well as on their potential or real applications in different domains
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  • 56
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    The 1st International Conference on Computational Engineering and Intelligent Systems (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036537016 , 9783036537023
    Language: Undetermined
    Pages: 1 Online-Ressource (216 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Computational engineering, artificial intelligence and smart systems constitute a hot multidisciplinary topic contrasting computer science, engineering and applied mathematics that created a variety of fascinating intelligent systems. Computational engineering encloses fundamental engineering and science blended with the advanced knowledge of mathematics, algorithms and computer languages. It is concerned with the modeling and simulation of complex systems and data processing methods. Computing and artificial intelligence lead to smart systems that are advanced machines designed to fulfill certain specifications. This proceedings book is a collection of papers presented at the first International Conference on Computational Engineering and Intelligent Systems (ICCEIS2021), held online in the period December 10-12, 2021. The collection offers a wide scope of engineering topics, including smart grids, intelligent control, artificial intelligence, optimization, microelectronics and telecommunication systems. The contributions included in this book are of high quality, present details concerning the topics in a succinct way, and can be used as excellent reference and support for readers regarding the field of computational engineering, artificial intelligence and smart systems
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  • 57
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    Advanced Sensing and Image Processing Techniques for Healthcare Applications (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036540320 , 9783036540313
    Language: Undetermined
    Pages: 1 Online-Ressource (258 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This Special Issue aims to attract the latest research and findings in the design, development and experimentation of healthcare-related technologies. This includes, but is not limited to, using novel sensing, imaging, data processing, machine learning, and artificially intelligent devices and algorithms to assist/monitor the elderly, patients, and the disabled population
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  • 58
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    Big Data Analytics and Information Science for Business and Biomedical Applications II (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036555492 , 9783036555508
    Language: Undetermined
    Pages: 1 Online-Ressource (196 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The analysis of big data in biomedical, business and financial research has drawn much attention from researchers worldwide. This collection of articles aims to provide a platform for an in-depth discussion of novel statistical methods developed for the analysis of Big Data in these areas. Both applied and theoretical contributions to these areas are showcased
    Note: English
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  • 59
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    Entropy-Based Applications in Economics, Finance, and Management (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036558059 , 9783036558066
    Language: Undetermined
    Pages: 1 Online-Ressource (276 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: This book presents selected entropy-based applications in economics, finance and management research. The high-quality studies included in this book propose and discuss new tools and concepts derived from information theory to investigate various aspects of entropy with an assortment of applications. A wide variety of tools based on entropy confirms that entropy is potentially one of the most intricate scientific concepts. Such tools as Shannon entropy, transfer entropy, sample entropy, structural entropy, maximum entropy, fuzzy classification methods, chaos tools, etc., are utilized, and many topics in the fields of economics, finance and management are investigated. Among others, these topics comprise: market clustering, market microstructure, cryptocurrency market, market efficiency and regularity, risk spillovers, credit cycles, financial networks, income inequality, market relationships, causal inference in time series, group decision making, etc
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  • 60
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    Recent Advances in Nanomagnetism (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036557731 , 9783036557748
    Language: Undetermined
    Pages: 1 Online-Ressource (104 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The Special Issue on Recent Advances in Nanomagnetism is a compilation of articles, addressing various aspects of magnetic properties and behaviour in low dimensional magnetic materials. One contribution addresses the novel magnetic properties in a nanohybrid of iron oxide and carbide nanoparticles grown in diamond. Magnetic textures, such as skyrmion structures, form an important area of research in nanomagnetism, this forms the topic of another contribution. Several aspects of magnetisation dynamics are addressed in other contributions and relate to the developments of microresonators and microantennas applied to the study of magnetic nanostructures; the ferromagnetic resonance behaviour in nanodot systems are also considered. Materials development forms an important area of study in nanomagnetism, and, as such, the preparation conditions, such as annealing under an applied field, can have important effects on the magnetic properties of thin films and low dimensional structures. Such considerations form the study of one of the contributions. Perpendicular magnetic anisotropy has a number of important applications in magnetic storage materials; this is the subject of two further contributions
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  • 61
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    Intelligent Computing for Big Data (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
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    ISBN: 9783036558776 , 9783036558783
    Language: Undetermined
    Pages: 1 Online-Ressource (100 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: Recent advances in artificial intelligence have the potential to further develop current big data research. The Special Issue on 'Intelligent Computing for Big Data' highlighted a number of recent studies related to the use of intelligent computing techniques in the processing of big data for text mining, autism diagnosis, behaviour recognition, and blockchain-based storage
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  • 62
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    Graph Algorithms and Applications (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036515427 , 9783036515410
    Language: Undetermined
    Pages: 1 Online-Ressource (106 p.)
    Keywords: Information technology industries ; Computer science
    Abstract: The mixture of data in real-life exhibits structure or connection property in nature. Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their relationships. Unfortunately, the related algorithms usually suffer from high computational complexity, since some of these problems are NP-hard. Therefore, in recent years, many graph models and optimization algorithms have been proposed to achieve a better balance between efficacy and efficiency. This book contains some papers reporting recent achievements regarding graph models, algorithms, and applications to problems in the real world, with some focus on optimization and computational complexity
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