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  • 1
    Online Resource
    Online Resource
    Smart and Sustainable Technology for Resilient Cities and Communities (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811691010
    Language: English
    Pages: 1 Online-Ressource(XVI, 322 p. 106 illus., 89 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Sustainability Science and Technology
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Sustainable architecture. ; Internet of things. ; Renewable energy sources.
    Abstract: Examining pedagogical approaches in developing employability skills in the wake of the Covid-19 pandemic -- Relating work-integrated learning to the employability skills discussion in the post-COVID-19 era -- Integration of Indoor Air Quality concerns in educational community through collaborative framework of Campus Bizia Lab of the University of the Basque Country -- An overview of methods for control and estimation of capacity in COVID19 pandemic from point cloud and imagery data -- Forecasting the COVID-19 spread in Iran, Italy and Mexico using novel nonlinear autoregressive neural network and ARIMA-based hybrid models -- A Comparative Study of Deep-Learning Models for COVID-19 Diagnosis based on X-ray Images -- Equipping European higher education teachers for successful and sustainable e-learning with home remote work -- Anticipating and Preparing for Future Change and Uncertainty: Building Adaptive Pathways -- A Sustainable Nutritional Behavior In The Era Of Climate Changes -- The Development of a Smart Tunable Full-Spectrum LED Lighting Technology which may Prevent and Treat Covid-19 Infections, for Society's Resilience and Quality of Life -- Energy efficient technologies for ultra-low temperature refrigeration.
    Abstract: This book is a collection of extended versions of papers presented at the KES Covid-19 Challenge international summit. The book focusses on technological, economic, and social developments to combat the effects of global and local disasters as well as the ways in which the recovery from Covid can be used to build more resilient and sustainable communities, industry, and improve the environment. It also discusses the global challenges of human-influenced climate change. There are chapters on making cities and communities more resilient through energy self-sufficiency, food production, resilient housing and buildings, human health and intelligent systems e.g. for forecasting and prediction.
    DOI: 10.1007/978-981-16-9101-0
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    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Advances in Selected Artificial Intelligence Areas : World Outstanding Women in Artificial Intelligence (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030930523
    Language: English
    Pages: 1 Online-Ressource(XVII, 356 p. 159 illus., 120 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 24
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 2: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 3: Application of Rough Set-Based Characterisation of Attributes in Feature Selection and Reduction.
    Abstract: As new technological challenges are perpetually arising, Artificial Intelligence research interests are focusing on the incorporation of improvement abilities into machines in an effort to make them more efficient and more useful. Recent reports indicate that the demand for scientists with Artificial Intelligence skills significantly exceeds the market availability and that this shortage will intensify further in the years to come. A potential solution includes attracting more women into the field, as women currently make up only 26 percent of Artificial Intelligence positions in the workforce. The present book serves a dual purpose: On one hand, it sheds light on the very significant research led by women in areas of Artificial Intelligence, in hopes of inspiring other women to follow studies in the area and get involved in related research. On the other hand, it highlights the state-of-the-art and current research in selected Artificial Intelligence areas and applications. The book consists of an editorial note and an additional thirteen (13) chapters, all authored by invited women-researchers who work on various Artificial Intelligence areas and stand out for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Paradigms, (ii) Advances in Artificial Intelligence Applications, and (iii) Recent Trends in Artificial Intelligence Areas and Applications. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the Artificial Intelligence areas of interest to them.
    DOI: 10.1007/978-3-030-93052-3
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    BSZ
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Advances in Assistive Technologies : Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 3 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030871321
    Language: English
    Pages: 1 Online-Ressource(XVI, 309 p. 103 illus., 73 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 28
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Abstract: Chapter 1: Introduction To Advances In Assistive Technologies -- Chapter 2: Applications of AI in Healthcare and Assistive Technologies -- Chapter 3: Machine Learning and Finite Element Methods in Modeling of COVID-19 spread -- Chapter 4: Learning Paradigms for Neural Networks for Automated Medical Diagnosis -- Chapter 5: Human Fall Detection in Depth-Videos using Temporal Templates and Convolutional Neural Networks. .
    Abstract: This book aims at exposing its readers to some of the most significant advances in assistive technologies. Assistive technologies develop devices to assist vulnerable people, including elderly people, people with cognitive disabilities such as memory problems or dementia, and people with functional disabilities such as those needing support in toileting, moving around, eating, bathing, dressing, grooming, and taking personal care. The ever-increasing life expectancy and world population, along with the emergence of new diseases and the regrettable continuation of armed conflicts, press for development and availability of assistive technologies that offer people in need the opportunity to live secure and controlled lives with more active participation in society and at a reduced assistive cost. This task can be accomplished only with more advanced devices than traditional-powered wheelchairs or eating/drinking devices, including prosthetics, exoskeletons, visual and hearing aids, cognitive aids, and devices enhanced with artificial intelligence. The book consists of an editorial note and an additional twelve (12) chapters, all of which have been written by authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into four parts, namely (i) Advances in Assistive Technologies in Healthcare, (ii) Advances in Assistive Technologies in Medical Diagnosis, (iii) Advances in Assistive Technologies in Mobility and Navigation, and (iv) Advances in Privacy and Explainability in Assistive Technologies. This research book is directed towards professors, researchers, scientists, engineers, and students in assistive technologies. It is also directed towards readers who come from other disciplines and is interested in becoming versed in some of the most recent assistive technologies. An extensive list of bibliographic references at the end of each chapter guides its readers to probe further into the application areas of interest to them.
    DOI: 10.1007/978-3-030-87132-1
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  • 4
    Online Resource
    Online Resource
    Advances in Machine Learning/Deep Learning-based Technologies : Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 2 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030767945
    Language: English
    Pages: 1 Online-Ressource(XVI, 224 p. 85 illus., 70 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 23
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Machine learning.
    Abstract: Part I: Machine Learning/Deep Learning in Socializing and Entertainment -- Part II: Machine Learning/Deep Learning in -- Part III: Machine Learning/Deep Learning in Security -- Part IV: Machine Learning/Deep Learning in Time Series Forecasting -- Part V: Machine Learning in Video Coding and Information Extraction.
    Abstract: As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
    DOI: 10.1007/978-3-030-76794-5
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  • 5
    Online Resource
    Online Resource
    3D Imaging—Multidimensional Signal Processing and Deep Learning : 3D Images, Graphics and Information Technologies, Volume 1 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811924484
    Language: English
    Pages: 1 Online-Ressource(XIII, 260 p. 132 illus., 75 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 297
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Signal processing. ; Artificial intelligence. ; Image processing—Digital techniques. ; Computer vision.
    Abstract: Color Restoration of RGB-NIR Images in Low-light Environment Using CycleGAN -- A Novel Space Division Rough Set Model for Feature Selection -- Development of Mobile Food Recognition System Based on Deep Convolutional Network -- Image-Based Physics Rendering for 3D Surface Reconstruction: A Survey -- Network Intrusion Detection Based on Apriori-Kmeans Algorithm -- Global Analysis of Discrete S-I-R Models and S-I-S Systems -- Overview of SAR Image Change Detection Based on Segmentation -- Water Environmental Quality Assessment and Effect Prediction Based on Artificial Neural Network -- Full-Focus Imaging Detection of Ship Ultrasonic Phased Array Based on Directivity Function -- Longitudinal Structure Analysis and Segmentation Algorithm of Dongba Document -- Image Recognition Methods Based on Deep Learning -- Insulator Detection Study Based on Improved Faster-RCNN -- Comparative Analysis of Automatic Poetry Generation Systems Based on Different Recurrent Neural Networks -- Grid False Data Intrusion Detection Method Based on Edge Computing and Federated Learning -- Research on the Simulation of Informationized Psychological Sand Table Based on 3D Scene -- Innovative Design of Traditional Arts and Crafts Based on 3D Digital Technology -- Citrus Positioning Method Based On Camera And Lidar Data Fusion -- Research on Graphic Design of Digital Media Art based on Computer Aided Algorithm -- Ore Detection Method Based on YOLOv4.
    Abstract: This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers devoted to the theoretical representation and analysis of the 3D images. The related topics included are 3D image transformation, 3D tensor image representation, 3D content generation technologies, 3D graphic information processing, VR content generation technologies, multi-dimensional image processing, dynamic and auxiliary 3D displays, VR/AR/MR device, VR camera technologies, 3D imaging technologies and applications, 3D computer vision, 3D video communications, 3D medical images processing and analysis, 3D remote sensing images and systems, deep learning for image restoration and recognition, neural networks for MD image processing, etc.
    DOI: 10.1007/978-981-19-2448-4
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  • 6
    Online Resource
    Online Resource
    Intelligent Decision Technologies : Proceedings of the 14th KES-IDT 2022 Conference (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811934445
    Language: English
    Pages: 1 Online-Ressource(XX, 599 p. 238 illus., 181 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 309
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering—Data processing.
    Abstract: Latent Chained Comments to Retweet Extraction on Twitter -- Recommendation versus Regression Neural Collaborative Filtering -- Heuristic Approach to Improve the Efficiency of Maximum Weight Matching Algorithm Using Clustering -- Digital Cultural Heritage Twins: New Tools for a Complete Fruition of the Cultural Heritage Entities -- Arabic Speech Processing: State of the Art and Future Outlook -- Inter-rater Agreement Based Risk Assessment Scheme for ICT Corporates -- Sequence Classification via LCS -- Assured Multi-Agent Reinforcement Learning with Robust Agent-Interaction Adaptability -- Development of a Telegram Bot to Determine the Level of Technological Readiness -- Design of Multiprocessor Architecture for Watermarking and Tracing Images Using QR Code.
    Abstract: This book gathers selected papers from the KES-IDT 2022 Conference, held in Rhodes, Greece on June 20–22, 2022. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed are classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in diverse areas such as finance, cybersecurity, economics, health, management, and transportation. The problems in Industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as intelligent data processing and its applications, high-dimensional data analysis and its applications, multi-criteria decision analysis—theory and applications, large-scale systems for intelligent decision-making and knowledge engineering, decision technologies and related topics in big data analysis of social and financial issues, and decision-making theory for economics.
    DOI: 10.1007/978-981-19-3444-5
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  • 7
    Online Resource
    Online Resource
    Handbook on Artificial Intelligence-Empowered Applied Software Engineering : VOL.1: Novel Methodologies to Engineering Smart Software Systems (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031082023
    Language: English
    Pages: 1 Online-Ressource(XII, 329 p. 242 illus., 102 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 2
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Software engineering.
    Abstract: Introduction to Handbook on Artificial Intelligence-empowered Applied Software Engineering - VOL.1: Novel Methodologies to Engineering Smart Software Systems -- Part I: Survey of Recent Relevant Literature -- Synergies Between Artificial Intelligence and Software Engineering: Evolution and Trends -- Part II: Artificial Intelligence-Assisted Software Development -- Towards Software Co-Engineering by AI and Developers -- Generalizing Software Defect Estimation using Size and Two Interaction Variables -- Building of an Application Reviews Classifier by BERT and Its Evaluation -- Harmony Search-enhanced Software Architecture Reconstruction -- Enterprise Architecture-based Project Model for AI Service System Development -- Part III: Software Engineering Tools to develop Artificial Intelligence Applications -- Requirements Engineering Processes for Multi-Agent Systems -- Specific UML-Derived Languages for Modeling Multi-Agent Systems -- Methods for ensuring the overall safety of machine learning systems -- MEAU: A Method for the Evaluation of the Artificial Unintelligence -- Quantum Computing meets Artificial Intelligence: Innovations & Challenges. .
    Abstract: This book provides a structured overview of artificial intelligence-empowered applied software engineering. Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions lead current research towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature. Professors, researchers, scientists, engineers and students in artificial intelligence, software engineering and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
    DOI: 10.1007/978-3-031-08202-3
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  • 8
    Online Resource
    Online Resource
    3D Imaging—Multidimensional Signal Processing and Deep Learning : Multidimensional Signals, Images, Video Processing and Applications, Volume 2 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811924521
    Language: English
    Pages: 1 Online-Ressource(XIII, 238 p. 129 illus., 69 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 298
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Signal processing. ; Artificial intelligence. ; Image processing—Digital techniques. ; Computer vision.
    Abstract: Using Meta Path Information to Adjust Embedded Recommendation System -- Study on Remote Sensing Retrieval of Land Surface Evapotranspiration in Poyang Lake Region in Typical Hydrological Year -- Development and Design of Surface Quality Online Inspection System Based on Machine Vision -- Research on the Application of Artificial Intelligence in Unstructured Data Resource Management of Power News Information -- Research on Image Quality Assessment of Vehicle Panoramic View Equipment -- An Experimental Study on Extraction Method of Tobacco Color Distribution Feature -- Intelligent Campus Blog Preprocessing Model -- Research on the Distribution Map of Weeds in Rice Field Based on SegNet -- Analysis and Application of Medical Images in the Field of Artificial Intelligence -- Terahertz Surface-Plasmon-Polaritons Gradient Index Lens -- Research on Artificial Intelligence System Design of Ideological and Political Education -- Research on Interactive Art Design System Based on Artificial Intelligence Technology -- Design of Automatic Verification System for Electronic Balance Based on Machine Vision -- Research on 3D Virtual Emotional Interaction Design Based on Network Digitization -- Application of Artificial Intelligence Technology in Marketing -- Research on Application of OpenGL-based Game Design -- Accuracy Analysis and Verification of Ground based Radar Differential Interferometry.
    Abstract: This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers aimed at the multidimensional systems and signal processing, deep learning, mathematical approaches and the related applications. The related topics are multidimensional multi-component image processing; multidimensional image representation and super-resolution; compression of multidimensional spatio-temporal images; multidimensional image transmission systems; multidimensional signal processing; prediction and filtering of multidimensional process; intelligent multi-spectral and hyper-spectral image processing, intelligent multi-view image processing, 3D deep learning, 3D GIS and graphic database; data-based MD image retrieval and knowledge data mining; watermarking, hiding and encryption of MD images; intelligent visualization of MD images; forensic analysis systems for M3D graphics algorithm; 3D VR (Virtual Reality)/AR (Augmented Reality); applications of multidimensional signal processing; applications of multidimensional systems; multidimensional filters and filter-banks. .
    DOI: 10.1007/978-981-19-2452-1
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  • 9
    Online Resource
    Online Resource
    Artificial Intelligence and Machine Learning for Healthcare : Vol. 1: Image and Data Analytics (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031111549
    Language: English
    Pages: 1 Online-Ressource(XIII, 231 p. 66 illus., 53 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 228
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence. ; Medical informatics.
    Abstract: An Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. .
    Abstract: Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.
    DOI: 10.1007/978-3-031-11154-9
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  • 10
    Online Resource
    Online Resource
    Smart Education and e-Learning—Smart University : Proceedings of the 10th International Conference on Smart Education and e-Learning (KES SEEL-2023) (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819929931
    Language: English
    Pages: 1 Online-Ressource(XV, 306 p. 88 illus., 72 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 355
    Parallel Title: Erscheint auch als
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    Keywords: Teachers—Training of. ; Computational intelligence. ; Artificial intelligence. ; Teachers
    Abstract: Part 1: Smart Education -- Chapter 1: Smart Education: Students’ Perception of Hybrid Learning in Graduate Computing Curriculum -- Chapter 2: Gaining Insight into Adoption of Immersive Technologies in Higher Education -- Chapter 3: Innovative Methods for Smart Education: Hybrid Approach -- Chapter 4: Impact of Offline and Online Lecture Formats on Student Satisfaction with the University -- Chapter 5: Possibilities of Using Multimedia Technologies in the Learning Process for Children with Special Needs -- Part 2: Smart e-Learning -- Chapter 6: Online Ed.D. Program Development: A Program Level Perspective -- Chapter 7: Using CAI to Provide Early Literacy Instruction for All Learners -- Chapter 8: Online Doctoral Faculty Engagement: Building Connections Through Authenticity -- Chapter 9: Reliability Issues with At-Home Assessment During the COVID-19 Pandemic -- Chapter 10: Student Support in an Online Environment: Doctoral Student Feedback. etc.
    Abstract: This book contains the contributions presented at the 10th international KES conference on Smart Education and e-Learning (SEEL-2023) with the Smart University as the main conference theme. The conference is being held on June 14-16, 2023 in Rome, Italy in both in-person and online modes. The book contains high quality peer-reviewed papers that are grouped into several interconnected parts: Part 1 – Smart Education, Part 2 – Smart e-Learning, Part 3 – Smart University, Part 4 – Smart Education: Case Studies and Research, and Part 5 – Smart Company: Case Studies and Research. Smart education, smart e-learning, smart universities and smart companies are emerging and rapidly growing areas with the potential to transform the existing teaching strategies, learning environments, and educational/training activities and technology in academic institutions and training centers. Smart education/training and smart e-learning are focused on enabling instructors/trainers to develop innovative ways of achieving excellence in teaching in highly technological smart classrooms/labs, and providing students/learners with new opportunities to maximize their success and select the best options for their education/training, location and learning style, as well as the mode of content delivery. This book serves as a useful source of research data and valuable information on current research projects, best practices and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners – all those who are interested in smart education, smart e-learning, smart university and smart business/company paradigms, concepts, systems and technology.
    DOI: 10.1007/978-981-99-2993-1
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