Proceedings of Ninth International Congress on Information and Communication Technology PDF Download
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Author: Xin-She Yang
Publisher: Springer Nature
ISBN: 9819732891
Category :
Languages : en
Pages : 670
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Book Description
Author: Youbin Chen
Publisher: European Alliance for Innovation
ISBN: 1631904272
Category : Education
Languages : en
Pages : 1118
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Book Description
The 4th International Conference on Modern Education and Information Management (ICMEIM 2023) was successfully held from September 8th to 10th, 2023 in Wuhan, China. This conference aimed to bring together scholars, researchers, and practitioners from around the world to discuss and exchange ideas on the latest trends and advancements in modern education and information management. The conference program featured a diverse range of research topics, including educational technology, digital learning, information systems, and knowledge management. With a focus on exploring innovative approaches and strategies, the conference provided a platform for participants to present their research findings and share insights on the future development of the field. Distinguished speakers included Prof. Qing Ding from Huazhong University of Science and Technology, China; Prof. Longkai Wu from Central China Normal University, China; Assoc. Prof. Lim Chee Leong from Taylor's University, Malaysia; and Assoc. Prof. Teh Sin Yin from Universiti Sains Malaysia, Malaysia. These experts delivered keynote speeches, offering valuable perspectives and stimulating discussions on the conference themes. The 4th International Conference on Modern Education and Information Management (ICMEIM 2023) played a significant role in shaping the future development of the field. It provided a platform for researchers and practitioners to share their knowledge, explore emerging trends, and address key challenges in modern education and information management. By facilitating collaboration and promoting interdisciplinary dialogue, the conference contributed to the advancement of innovative practices and strategies in this rapidly evolving field. We extend our sincere appreciation to all participants, presenters, organizers, and sponsors for their valuable contributions in making the ICMEIM a success. We look forward to future editions of the conference and the continued growth and advancement of the field.
Author: Xin-She Yang
Publisher: Springer Nature
ISBN: 9819732891
Category :
Languages : en
Pages : 670
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Book Description
Author: Simon Fong
Publisher: Springer Nature
ISBN: 9819965683
Category : Technology & Engineering
Languages : en
Pages : 623
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Book Description
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 8th International Conference on ICT for Sustainable Development (ICT4SD 2023), held in Goa, India, on August 3–4, 2023. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
Author: V. Bindhu
Publisher: Springer Nature
ISBN: 9811977534
Category : Technology & Engineering
Languages : en
Pages : 1048
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Book Description
This book includes high-quality research papers presented at the Fourth International Conference on Communication, Computing and Electronics Systems (ICCCES 2022), held at the PPG Institute of Technology, Coimbatore, India, on September 15–16, 2022. The book focuses mainly on the research trends in cloud computing, mobile computing, artificial intelligence and advanced electronics systems. The topics covered are automation, VLSI, embedded systems, optical communication, RF communication, microwave engineering, artificial intelligence, deep learning, pattern recognition, communication networks, Internet of things, cyber-physical systems and healthcare informatics.
Author: Vinit Kumar Gunjan
Publisher: Springer Nature
ISBN: 981999442X
Category :
Languages : en
Pages : 792
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Book Description
Author: Rajkumar Buyya
Publisher: Springer Nature
ISBN: 9819927684
Category : Technology & Engineering
Languages : en
Pages : 449
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Book Description
This book presents high-quality, peer-reviewed papers from International Conference on Advanced Communications and Machine Intelligence (MICA 2022), organised by M.Kumarasamy College of Engineering, Chennai, Tamil Nadu, India, during 9–11 December 2022. The book includes all areas of advanced communications and machine intelligence. The topics covered are network performance analysis, data mining and warehousing, parallel and distributed networks, computational intelligence, smart city applications, big data analytics, Internet of Things networks, information management and wireless sensor networks. The book is useful for academicians, scientists, researchers from industry, research scholars and students working in these areas.
Author: A. Pasumpon Pandian
Publisher: Springer Nature
ISBN: 9811673306
Category : Technology & Engineering
Languages : en
Pages : 1051
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Book Description
This book is a collection of papers presented at the International Conference on Intelligent Computing, Information and Control Systems (ICICCS 2021). It encompasses various research works that help to develop and advance the next-generation intelligent computing and control systems. The book integrates the computational intelligence and intelligent control systems to provide a powerful methodology for a wide range of data analytics issues in industries and societal applications. The book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies. This book is pragmatic for researchers, academicians and students dealing with mathematically intransigent problems.
Author: Biswadip Basu Mallik
Publisher: Springer Nature
ISBN: 3031711254
Category :
Languages : en
Pages : 575
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Book Description
Author: Afzal Sikander
Publisher: Springer Nature
ISBN: 9819701546
Category :
Languages : en
Pages : 582
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Book Description
Author: Zhen Cui
Publisher: Frontiers Media SA
ISBN: 2832526365
Category : Science
Languages : en
Pages : 151
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Book Description
Affective computing refers to computing that relates to, arises from, or influences emotions. The goal of affective computing is to bridge the gap between humans and machines and ultimately endow machines with emotional intelligence for improving natural human-machine interaction. In the context of human-robot interaction (HRI), it is hoped that robots can be endowed with human-like capabilities of observation, interpretation, and emotional expression. The research on affective computing has recently achieved extensive progress with many fields contributing including neuroscience, psychology, education, medicine, behavior, sociology, and computer science. Current research in affective computing concentrates on estimating human emotions through different forms of signals such as speech, face, text, EEG, fMRI, and many others. In neuroscience, the neural mechanisms of emotion are explored by combining neuroscience with the psychological study of personality, emotion, and mood. In psychology and philosophy, emotion typically includes a subjective, conscious experience characterized primarily by psychophysiological expressions, biological reactions, and mental states. The multi-disciplinary features of understanding “emotion” result in the fact that inferring the emotion of humans is definitely difficult. As a result, a multi-disciplinary approach is required to facilitate the development of affective computing. One of the challenging problems in affective computing is the affective gap, i.e., the inconsistency between the extracted feature representations and subjective emotions. To bridge the affective gap, various hand-crafted features have been widely employed to characterize subjective emotions. However, these hand-crafted features are usually low-level, and they may hence not be discriminative enough to depict subjective emotions. To address this issue, the recently-emerged deep learning (also called deep neural networks) techniques provide a possible solution. Due to the used multi-layer network structure, deep learning techniques are capable of learning high-level contributing features from a large dataset and have exhibited excellent performance in multiple application domains such as computer vision, signal processing, natural language processing, human-computer interaction, and so on. The goal of this Research Topic is to gather novel contributions on deep learning techniques applied to affective computing across the diverse fields of psychology, machine learning, neuroscience, education, behavior, sociology, and computer science to converge with those active in other research areas, such as speech emotion recognition, facial expression recognition, Electroencephalogram (EEG) based emotion estimation, human physiological signal (heart rate) estimation, affective human-robot interaction, multimodal affective computing, etc. We welcome researchers to contribute their original papers as well as review articles to provide works regarding the neural approach from computation to affective computing systems. This Research Topic aims to bring together research including, but not limited to: • Deep learning architectures and algorithms for affective computing tasks such as emotion recognition from speech, face, text, EEG, fMRI, and many others. • Explainability of deep Learning algorithms for affective computing. • Multi-task learning techniques for emotion, personality and depression detection, etc. • Novel datasets for affective computing • Applications of affective computing in robots, such as emotion-aware human-robot interaction and social robots, etc.
