Kurzfassung: This book presents the first volume of the proceedings of the 12th World Conference "Intelligent systems for industrial automation", WCIS-2022 held in Tashkent, Uzbekistan, on November 25-26, 2022. It includes contributions from diverse areas of intelligent industrial systems design, intelligent information systems, decision making under imperfect information and others. The topics of the papers include hybrid control systems, pattern recognition, industry 4.0, information security, neural computing, fuzzy computation, decision making and support systems, and others.

Kurzfassung: This book presents the proceedings of the 12th World Conference "Intelligent systems for industrial automation", WCIS-2022 held in Tashkent, Uzbekistan, on November 25-26, 2022. It includes contributions from diverse areas of intelligent industrial systems design, intelligent information systems, decision making under imperfect information and others. The topics of the papers include hybrid control systems, pattern recognition, industry 4.0, information security, neural computing, fuzzy computation, decision making and support systems, and others.

Kurzfassung: Critical Review of Computational Intelligence in Project Management -- Conversational Systems and Computational Intelligence, a critical analysis -- Fuzzy cognitive maps, extensions and applicability as an explanatory artificial intelligence model -- Project scheduling a critical review of both traditional and metaheuristic technique -- Systematic Review of Augmented Reality (AR) And Bim for The Management of Deadlines, Costs and Quality -- Assessing Adoption Archetypes of Advanced Technologies in Industrial Clusters -- Computational Intelligence in Project Planning and Monitoring -- Combining EDA and Simulated Annealing strategies in Project Scheduling Construction.

Kurzfassung: This book is dedicated to all those interested in the application of artificial intelligence in engineering and project management. Most of the jobs are focused on achieving agile project development. New algorithms that combine various computational intelligence techniques are applied in different areas of knowledge in project management. In this book, computational intelligence is presented as the branch of AI that encompasses various techniques aimed at simulating human tolerance in decision-making processes in environments with uncertainty and imprecision. Among the precursor techniques of computational intelligence are: evolutionary algorithms, artificial neural networks, fuzzy set theory, and fuzzy systems. However, other areas such as the rough set, linguistic data summary, natural language processing, the conversational systems, fuzzy cognitive maps, collective intelligence, the neutrosophic theory, and other fuzzy logic extensions are contributing to the application and extension of computational intelligence The book is organized into three parts, as shown below. The first part constitutes a critical review of computational intelligence in project management. The second part presents new computational intelligence techniques and their applications in project planning, control, and monitoring processes. In particular, the use of conversational systems and their applicability in the agile management of portfolio programs and projects stand out. Part three of the book exemplifies the use of computing techniques with words and other computational intelligence techniques for organizational decision-making. The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Janusz Kacprzyk, Pedro Y. Piñero Pérez, Rafael E. Bello Pérez, and Iliana Pérez Pupo have published several books associated with artificial intelligence and computational intelligence applied to projects. They continue working on fundamental-oriented and applied research on different artificial intelligence techniques to help with decision-making in different areas of knowledge. Authors would like to thank all the engineers, professors, and researchers without whose efforts this book could not have been written. .

Kurzfassung: Chapter 1. Large language models for data extraction in slot-filling tasks -- Chapter 2. Anonymization of Bids in Blockchain Auctions Using Zero-Knowledge Proof -- Chapter 3. Survival Signature for Reliability Quantificationof Large Systems and Networks -- Chapter 4. Using Resizing Layer in U-net to Improve Memory Efficiency -- Chapter 5. Multiprocessor task scheduling with probabilistic task duration -- Chapter 6. On-line scheduling multiprocessor tasks in the non-predictive environment -- Chapter 7. Solving a Vehicle Routing Problem for a real-life parcel locker-based delivery -- Chapter 8. Hammering test for tile wall using AI -- Chapter 9. Models of Resilient Systems with Online Verification Considering Changing Requirements and Latent Failures -- Chapter 10. Performance Optimizations of Real World Map Transformations for 3D Realtime Mobile Games -- Chapter 11. Preliminary Study on the Detection of Subtle Variations in Image Sequences for Identifying False Starts in Speedway Racing -- Chapter 12. Bibliometric Analysis of the Application of Artificial Intelligence in Renewable Energy Sources: Trends -- Chapter 13. Impact of the statistics of the learning data on the performance of a recommendation system based on MovieLens data -- Chapter 14. Randomly Initiated Cyclostationary Excitations for Dimensionality Reduction in Wiener System Identification -- Chapter 15. Wireless employee safety monitoring system with measurement of biomedical parameters -- Chapter 16. Artificial Intelligence Methods for Pet Emotions Recognition -- Chapter 17. Parallel Swarm Intelligence: Efficiency Studywith Fast Range Search in Euclidean Space -- Chapter 18. Digital Transformation Impacts on Industry 4.0 Evolution -- Chapter 19. Optimization of procurement strategy supportedby simulated annealing and genetic algorithm -- Chapter 20. Tumor volume measurements in animal experiments: current approaches and their limitations -- ....etc.

Kurzfassung: This book presents a selection of papers about problems which arise in dependability studies of contemporary computer systems and networks. Their collection should be an interesting and inspiring source material for scientists, researchers, engineers, and students who must consider diverse dependability characteristics in design, analysis, or maintenance of computer systems and networks. The papers were presented during the 19th DepCoS-RELCOMEX conference which was the next event in a series organized annually since 2006. Originating as a scientific platform for discussions of reliability aspects in computer engineering, the topical scope of the conference has been constantly expanded to incorporate new dependability challenges brought by recent advances in systems and information technologies. Currently, dependable operation in the context of computer processing means obtaining reliable (true and timely) results in the conditions of processing both quantitative and qualitative data, using precise or fuzzy (often: imitating) models and algorithms. With increasing use of artificial intelligence algorithms and tools, dependability in contemporary information technology and computer engineering calls for methods based on cognitive systems and deep learning techniques. Topical variety of the papers included in these proceedings proves that almost all applications of modern computer systems and networks must take into account the aspect of dependability and also illustrates a wide diversity of multidisciplinary subjects which needs to be considered in this context.

Kurzfassung: This book is a comprehensive compilation of groundbreaking insights stemming from the esteemed International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), hosted at Cadi Ayyad University Morocco. Focused on the crucial themes of energy, environment, agriculture, and industry, this book captures the essence of transformative discussions and cutting-edge research that unfolded during the conference. Within these pages, readers are invited to explore the intricate world of intelligent systems, where innovation converges to tackle the key challenges of sustainability. The book immerses its audience in a wealth of knowledge that deeply represents the latest advancements shaping the future landscape. Diverse topics are intricately woven into the fabric of this discourse, covering AI-driven solutions designed for energy optimization, environmental sustainability, precision agriculture, and intelligent industry applications. Each contribution serves as a testament to the collaborative efforts of researchers, practitioners, and experts who gathered to drive innovation at the intersection of intelligent systems and sustainable development. Crafted as an invaluable resource, 'Advancements in Intelligent Systems: AI2SD'2023 Proceedings‘ caters to a diverse readership eager to delve into the forefront of trends and developments emerging from the crossroads of advanced intelligent systems in energy, environment, agriculture, and industry. Whether you're a researcher, practitioner, or enthusiast, unlock the transformative potential inherent in these innovative domains.

Kurzfassung: This book encapsulates the innovative discussions held during the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), which took place at Mohammed 6 University of Sciences and Health Casablanca, Morocco. This book delves into the multifaceted realm of advanced intelligent systems, specifically focusing on digital health technology. The book offers a comprehensive exploration of cutting-edge research and breakthroughs in this dynamic field, providing a holistic perspective on the latest advancements. Within these pages, you will find papers covering an array of captivating topics, including AI-driven diagnostics, wearable health devices, predictive analytics in health care, and much more. Each contribution delves into the synergy of intelligent systems and digital health, showcasing how these technologies intertwine to shape the future of healthcare. Designed for researchers, practitioners, and enthusiasts alike, this book serves as an invaluable resource for staying updated on the latest trends and developments in the intersection of advanced intelligent systems and digital health technology. Whether you are seeking to broaden your knowledge or seeking practical insights, this book caters to a diverse readership eager to harness the potential of these innovative domains.

Kurzfassung: This book is a comprehensive compilation of groundbreaking insights stemming from the esteemed International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), hosted at Cadi Ayyad University Morocco. Focused on the crucial themes of energy, environment, agriculture, and industry, this book captures the essence of transformative discussions and cutting-edge research that unfolded during the conference. Within these pages, readers are invited to explore the intricate world of intelligent systems, where innovation converges to tackle the key challenges of sustainability. The book immerses its audience in a wealth of knowledge that deeply represents the latest advancements shaping the future landscape. Diverse topics are intricately woven into the fabric of this discourse, covering AI-driven solutions designed for energy optimization, environmental sustainability, precision agriculture, and intelligent industry applications. Each contribution serves as a testament to the collaborative efforts of researchers, practitioners, and experts who gathered to drive innovation at the intersection of intelligent systems and sustainable development. Crafted as an invaluable resource, 'Advancements in Intelligent Systems: AI2SD'2023 Proceedings‘ caters to a diverse readership eager to delve into the forefront of trends and developments emerging from the crossroads of advanced intelligent systems in energy, environment, agriculture, and industry. Whether you're a researcher, practitioner, or enthusiast, unlock the transformative potential inherent in these innovative domains.

Kurzfassung: This book encapsulates the innovative discussions held during the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), which took place at Mohammed 6 University of Sciences and Health Casablanca, Morocco. This book delves into the multifaceted realm of advanced intelligent systems, specifically focusing on digital health technology. The book offers a comprehensive exploration of cutting-edge research and breakthroughs in this dynamic field, providing a holistic perspective on the latest advancements. Within these pages, you will find papers covering an array of captivating topics, including AI-driven diagnostics, wearable health devices, predictive analytics in health care, and much more. Each contribution delves into the synergy of intelligent systems and digital health, showcasing how these technologies intertwine to shape the future of healthcare. Designed for researchers, practitioners, and enthusiasts alike, this book serves as an invaluable resource for staying updated on the latest trends and developments in the intersection of advanced intelligent systems and digital health technology. Whether you are seeking to broaden your knowledge or seeking practical insights, this book caters to a diverse readership eager to harness the potential of these innovative domains.

Kurzfassung: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.

Kurzfassung: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.

Kurzfassung: Development of information technologies for the research of technical systems -- On Mikhailov stability conditions for a class of integer- and commensurate fractional-order discrete-time systems -- Verification of a Building Simulator in Real Experiments -- Aspects of measurement data acquisition and optimization in the energy transformation of industrial facilities -- Continuous-Time Dynamic Model Identification Using Binary-Valued Observations of Input and Output Signals -- Time Series Identification Using Monte Carlo Method.

Kurzfassung: This book introduces the reader to the hottest topics in current control sciences and robotics, as seen by scientists from Poland and other European countries. Volume 1 comprises 37 chapters, which specifically address topics connected to modeling, identification, and analysis of automation systems, to design of control systems, and to fault diagnosis and fault-tolerant control. The contributions were presented during XXI Polish Control Conference, held in Gliwice, Poland, from June 26 to 29, 2023. This book is extremely useful to all persons who want to know the latest trends in automation and robotics.

Kurzfassung: H_infinity Stochastic State-Multiplicative Uncertain Systems-Robust Luenberger Filters -- Anticipating the Loss of Unknown Input Observability for Sampled LPV Systems -- Luenberger Observer Design for Robust Estimation of Battery State of Charge with Application to Lithium-Titanate Oxide Cells -- Fault Detection and Diagnosis of PV Systems Using Kalman-Filter Algorithm Based on Multi-Zone Polynomial Regression -- Parity-Space and Multiple-Model Based Approaches to Measurement Fault Estimation -- Online Condition Monitoring of a Vacuum Process Based on Adaptive Notch Filters.

Kurzfassung: The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control. The main market area of the contributions include: Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors. These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals.

Kurzfassung: Part 1. Fuzzy Recognition -- 01. Difficulties in recognizing flat shapes based on Fuzzy logic -- 2. The problem of parsing and recognizing individual objects of information on base of fuzzy Logic -- 3. Call Center and Robot Call Center How to Reduce the Cost -- 4. An intelligent method for optimizing calculations in the recognition of sound information.

Kurzfassung: This book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling.

Kurzfassung: Control Assessment with Moment Ratio Diagrams -- Bayesian Fault Diagnosis for Induction Motors During Startup in Frequency Domain -- Experimental Assessment for Radar-Based Estimation of Host Vehicle Speed during Traction Events -- Application of statistical methods to support automation of pricing in business -- Comparison of Data Depth calculation method for fault detection in electric signal -- The idea of technical predictive maintenance of utility buildings using text sources of information about the technical condition of buildings.

Kurzfassung: This book introduces the reader to the hottest topics in current control sciences and robotics, as seen by scientists from Poland and other European countries. Volume 2 comprises 42 chapters, which specifically address topics connected to statistical and stochastic methods in control engineering applications, to optimization and quantum computing, to biological, medical, and ecological systems, to new applications of artificial intelligence and machine learning in automated and connected vehicles, to design and control of autonomous marine, robotics, and vehicles systems, and to other modern topics. The contributions were presented during XXI Polish Control Conference, held in Gliwice, Poland, from June 26 to 29, 2023. This book is extremely useful to all persons who want to know the latest trends in automation and robotics.

Kurzfassung: Part 1. Soft Computing and Fuzzy Logic -- 1. Lotfi A. Zadeh’s Life and His Scientific Legacy -- 2. From Fuzzy Optimization to Possibilistic-Probabilistic Optimization with our Teacher Professor Lotfi Zadeh -- 3. Ideas of Lotfi Zadeh in Explainable Artificial Intelligence -- 4. Different Concepts, Similar Computational Complexity: Nguyen’s Results about Fuzzy and Interval Computations 35 Years. .

Kurzfassung: This book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling.

Kurzfassung: This volume is composed of selected papers from two conferences held in Warsaw, Poland on October 13-15, 2022: the BOS/SOR’2022 - National Conference on Operational and Systems Research, one of premiere conferences in the field of operational and systems research, and the Twentith International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN-2022, one of premiere conferences on fuzzy logic, notably on extensions of the traditional fuzzy sets, also comprising a considerable part on the Generalized Nets (GNs). A joint publication of selected papers from the two conferences follows a long tradition of such a joint organization, and – from a substantial point of view – combines systems modeling, systems analysis, broadly perceived operational research, notably optimization, decision making and decision support, with various aspects of uncertain and imprecise information and their related tools and techniques.

Kurzfassung: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.

Kurzfassung: Using Blockchain in University Management Systems- state of art -- Graph Neural Networks to improve Knowledge Graph Embedding: A survey -- Tifinagh Handwritten Character Recognition Using Machine Learning Algorithms -- Maintenance prediction based on Long Short-Term Memory algorithm -- Towards an approach for studying the evolution of learners' learning in E-learning -- Chatbots Technology and its Challenges: An Overview -- Machine Learning, Deep Neural Network and Natural Language Processing based Recommendation System -- Artificial intelligence for fake news -- Traffic congestion and road anomalies detection using CCTVs images processing, challenges & opportunities -- Text-based Sentiment analysis -- Smart tourism destinations as complex adaptive systems: A theoretical framework of resilience and sustainability -- Machine learning algorithms for automotive software defect prediction -- Agile User Stories’ Driven Method: A Novel Users Stories Meta-model in the MDA Approach -- AI-based adaptive learning - State of the art -- A new Predictive analytics model to assess the employability of academic careers, based on genetic algorithms -- New approach for anomaly detection and prevention -- FunLexia: an Intelligent Game for Children with Dyslexia to Learn Arabic -- Artificial Neural Networks Cryptanalysis of Merkle-Hellman Knapsack Cryptosystem -- Using machine learning algorithms to increase the supplier selection process efficiency in supply chain 4.0 -- A new approach to intelligent-oriented analysis and design of urban traffic control: Case of a traffic light -- Spatio-temporal crime forecasting: Approaches, datasets, and comparative study -- Data migration from relational to NoSQL database : Review & Comparative study -- Recommendation system: technical study -- The appropriation of the agile approach in public sector: Modeling the achievement of good governance -- The contribution of Deep learning models: application of LSTM to predict the Moroccan GDP growth using drought indexes -- Natural Language Processing and Motivation for Language Learning -- Generating Artworks using One Class SVM with RBF kernel -- Multiobjective Evolutionary Algorithms for Engineering Design Problems -- Designing Hybrid Storage Architectures with RDBMS and NoSQL Systems: A Survey -- Analysis of the pedagogical effectiveness of teacher qualification cycle in Morocco: A Machine learning model approach -- Smart education – A case study on a simulation for climate change awareness & engagement -- Towards an E-commerce personalized recommendation system with KNN classification method -- Convolutional Long Short-Term Memory Network Model for Dynamic Texture Classification: A Case Study -- Towards an accident severity prediction system with Logistic Regression -- FUZZY C-MEANS Based Extended Isolation Forest for Anomaly Detection -- Fashion Image Classification using Convolutional Neural Network-VGG16 and eXtreme Gradient Boosting Classifier -- MentorBot: A Traceability-Based Recommendation Chatbot for Moodle -- Regularization in CNN: A mathematical study for L1, L2 and Dropout regularizers -- Shipment consolidation using K-means and a combined DBSCAN-KNN approach -- A new approach to protect Data in-Use at Document Oriented Databases -- A Dual Carriageway Smart Street Lighting Controller Based On Multi-Variate Traffic Forecast.-Blockchain-based Self Sovereign Identity Systems: high-level processing and a challenges-based comparative analysis -- Impact of Machine Learning on The Improvement of Accounting Information Quality -- NLP Methods' Information Extraction for Textual Data: An Analytical Study -- Handwriting recognition in historical manuscripts using a deep learning approach -- Artificial intelligence for a sustainable finance: A bibliometric analysis -- Geoparsing Recognition and Extraction from Amazigh corpus using The NooJ Complex Annotation Structures -- Agent-based merchandise management and real-time decision support systems -- Selecting the Best Moroccan Tourist Destination Using the Fuzzy Analytic Hierarchy Process -- Improving model performance of the prediction of online shopping using oversampling and feature selection -- Combining Descriptors for Efficient Retrieval in Databases Images -- TOWARDS AN EDUCATIONAL PLANNING INFORMATION SYSTEM IN BIG DATA ENVIRONMENT -- CNN-based Face Emotion Detection and Mouse Movement Analysis to Detect Student’s Engagement Level -- Data Cleaning in Machine Learning : Improving Real Life Decisions and Challenges -- Blockchain-Based Cloud Computing: Model-Driven Engineering Approach -- Student Attention Estimation Based on Body Gesture -- Cat Swarm Optimization Algorithm for DNA Fragment Assembly Problem -- DSGE AND ABM, TOWARDS A "TRUE" REPRESENTATION OF THE REAL WORLD? -- Predictive Hiring System: Information Technology Consultants Soft Skills -- Automated Quality Inspection Using Computer Vision: a Review -- A Comparative Study of Adaptative Learning Algorithms for Students’ Performance Prediction: Application in a Moroccan University Computer Science Course -- Pedestrian Orientation Estimation using Deep Learning -- Artificial intelligence application in drought assessment, monitoring and forecasting using available remote sensed data -- CSR communication through social networks: the case of committed brandbanks in Morocco -- Content-Based Image Retrieval Using Octree Quantization Algorithm -- Release Planning Process Model in Agile Global Software Development -- Developing a New Indicator Model to Trade Gold Market -- A new model indicator to trade Foreign Exchange market -- Improving Arabic to English Machine Translation -- Artificial Neural Network with Learning Analytics for Student Performance Prediction in Online Learning Environment -- Attentive Neural Seq2Seq for Arabic Question Generation -- Microservice-Specific Language, a step to the Low-code platforms -- Case Study of Economic Dispatch Problem in Smart Grid System -- Teaching Soft Skills online, what are the most appropriate pedagogical paradigms? -- Road Object Detection: A Case Study of Deep Learning-Based Algorithms -- A comparative review of Tweets Automatic Sarcasm Detection in Arabic and English -- Mobile payment as a lever for financial inclusion -- New Approach to Interconnect Hybride Blockchains -- A Variable Neighborhood Search (VNS) heuristic algorithm based classifier for credit scoring -- Application of Machine Learning Techniques To Enhance Decision Making Lifecycle -- A Smart interactive decision support system for real-time adaptation in the mobility strategy for optimization of the employee’s transportation -- A Hesitant fuzzy Holdout method for models’ selection in Machine Learning -- Interpretable Credit Scoring Model Via Rule Ensemble -- A New Distributed Architecture Based on Reinforcement Learning for Parameter Estimation in Image Processing -- Smart Sourcing Framework for Public Procurement Announcements Using Machine Learning Models -- An MCDM-Based Methodology for Influential Nodes Detection in a Social Network. Facebook as a Case Study -- A Predictive Approach based on Feature Selection to Improve Email Marketing Campaign Success Rate -- DIAGNOSIS AND ADJUSTMENT FOR SUSTAINABLE TOURISM.

Kurzfassung: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.

Kurzfassung: This open access book presents the proceedings of the 10th Machine Intelligence and Digital Interaction Conference. Artificial intelligence (AI) is rapidly affecting more aspects of our lives as a result of significant advancements in its research and the widespread usage of interactive technologies. This has led to the birth of several new social phenomena. Many nations have been working to comprehend these phenomena and discover solutions for moving artificial intelligence development in the proper direction to benefit individuals and communities at large. These efforts necessitate multidisciplinary approaches, encompassing not only the scientific fields involved in the creation of artificial intelligence and human–computer interaction but also strong collaboration between academics and practitioners. Because of this, the primary objective of the MIDI conference, which was conducted online on December 13–15, 2022, is to combine two up until recently distinct disciplines of research—artificial intelligence and human–technology interaction.

Kurzfassung: Line Segmentation of Handwritten Documents Using Direct Tensor Voting -- Practical Approach to Introducing Parallelism in Sequential Programs -- The digital twin to train a neural network detecting headlamps failure of motor vehicles -- Dynamic change of tasks in multiprocessor scheduling -- Regression models evaluation of short-term traffic flow prediction -- Performance analysis of a real-time data warehouse system implementation based on open-source technologies -- Evaluating the Different Factors Affecting the Educational Attainment of Students at the Faculty of Information Technology at Jordan Universities -- Hammering test on a concrete wall using Neural Network -- Artificial intelligence methods in email marketing - a survey -- Detection of oversized objects in a video stream, exploiting an image classification approach using deep neural networks -- Reliability Model of Bioregenerative Reactor of Life Support System for Deep Space Habitation -- Safety assessment of maintained control systems with cascade two-version 2oo3/1oo2 structures considering version faults -- CPU signal rank-based disaggregation in Cloud computing environments -- Efficient Clustering-based Neighbourhood in Recommender Systems -- New approach to constructive induction - Towards Deep Discrete Learning -- Softcomputing Approach to Music Generation -- Identification of the Language UsingStatistical and Neural Approaches -- Smart data logger with continuous ECG signalmonitoring -- Movement Tracking in Augmented and Mixed Realities Impacting the User Activity in Medicine and Healthcare -- General provisioning strategy for local specialized cloud computing environments -- Tabular structures detection on scanned VAT invoices -- Automation of deanonymization queries for the Bitcoin investigations -- Structural models for fault detection of Moore finite state machines -- Application of generative models to augment IMU signals in gait biometric -- Ant colony optimization algorithm for finding the maximum number of d-size cliques in a graph with not always m-vertices in its d parts -- Partitioning of a m-part weighted graph with n vertices in each its part into n cliques with m vertices and the total minimum sum of their edges weights using ant algorithms -- A Study of Architecture Optimization Techniques for Convolutional Neural Networks -- Scheduling Resource to Deploy Monitors in Automated Driving Systems -- Power Analysis of BLAKE3 Pipelined Implementations in FPGA Devices -- Deep Learning ECG Signal Analysis: Description and Preliminary Results -- Deployment of Deep Models in NLP Infrastructure -- Analysis of handwritten texts to detect selected psychological characteristics of a person -- Architecting Cloud-Based Business Software - A Practitioner's Perspective.

Kurzfassung: The book includes papers about various problems of dependable operation of computer systems and networks, which were presented during the 18th DepCoS-RELCOMEX conference. Their collection can be an interesting source material for scientists, researchers, practitioners, and students who are dealing with design, analysis, and engineering of computer systems and networks and must ensure their dependable operation. The increasing role of artificial intelligence algorithms and tools in modern information technology and computer engineering, especially rapid expansion of tools based on deep learning methods, calls for extending our view on system dependability. Selection of papers in these proceedings not only illustrates a wide-ranging variety of multidisciplinary topics which should be considered in this context but also proves that virtually all areas of contemporary computer systems and networks must take into account an aspect of dependability.