Author:
Publisher:
ISBN: 9781665412247
Category :
Languages : en
Pages :
Book Description
2021 International Congress of Advanced Technology and Engineering (ICOTEN)
Author:
Publisher:
ISBN: 9781665412247
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781665412247
Category :
Languages : en
Pages :
Book Description
Advances on Intelligent Informatics and Computing
Author: Faisal Saeed
Publisher: Springer Nature
ISBN: 3030987418
Category : Computers
Languages : en
Pages : 793
Book Description
This book presents emerging trends in intelligent computing and informatics. This book presents the papers included in the proceedings of the 6th International Conference of Reliable Information and Communication Technology 2021 (IRICT 2021) that was held virtually, on Dec. 22-23, 2021. The main theme of the book is “Advances on Intelligent Informatics and Computing”. A total of 87 papers were submitted to the conference, but only 66 papers were accepted and published in this book. The book presents several hot research topics which include health informatics, artificial intelligence, soft computing, data science, big data analytics, Internet of Things (IoT), intelligent communication systems, cybersecurity, and information systems.
Publisher: Springer Nature
ISBN: 3030987418
Category : Computers
Languages : en
Pages : 793
Book Description
This book presents emerging trends in intelligent computing and informatics. This book presents the papers included in the proceedings of the 6th International Conference of Reliable Information and Communication Technology 2021 (IRICT 2021) that was held virtually, on Dec. 22-23, 2021. The main theme of the book is “Advances on Intelligent Informatics and Computing”. A total of 87 papers were submitted to the conference, but only 66 papers were accepted and published in this book. The book presents several hot research topics which include health informatics, artificial intelligence, soft computing, data science, big data analytics, Internet of Things (IoT), intelligent communication systems, cybersecurity, and information systems.
Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
Author: K. Hemachandran
Publisher: Springer Nature
ISBN: 9464632224
Category : Computers
Languages : en
Pages : 576
Book Description
This is an open access book. With the continuous upgrading of network information technology, especially the combination of Internet - cloud computing - blockchain - Internet of things and other information technologies with social and economic activities, through the improvement of artificial intelligence, Internet and big data with high quality and fast processing efficiency, the economic form is transformed from industrial economy to information economy. This will greatly reduce social transaction costs, improve the efficiency of resource optimization, increase the added value of products, enterprises and industries, and promote the rapid development of social productivity. 2023 2nd International Conference on Artificial Intelligence, the Internet and the Digital Economy (ICAID 2023) will continue to focus on the latest research on "Artificial intelligence, the Internet and the Digital Economy", and expand the research on "technology and application of the integrated development of Digital Economy and Artificial Intelligence" as the theme. The aim is to gather experts, scholars, researchers and related practitioners from around the world to share research results, discuss hot issues, and provide participants with cutting-edge technology information so that they can keep abreast of industry developments, the latest technologies and broaden their research horizons. The conference was held in Beijing, China on April 21-23, 2023. All experts and scholars are welcome to attend.
Publisher: Springer Nature
ISBN: 9464632224
Category : Computers
Languages : en
Pages : 576
Book Description
This is an open access book. With the continuous upgrading of network information technology, especially the combination of Internet - cloud computing - blockchain - Internet of things and other information technologies with social and economic activities, through the improvement of artificial intelligence, Internet and big data with high quality and fast processing efficiency, the economic form is transformed from industrial economy to information economy. This will greatly reduce social transaction costs, improve the efficiency of resource optimization, increase the added value of products, enterprises and industries, and promote the rapid development of social productivity. 2023 2nd International Conference on Artificial Intelligence, the Internet and the Digital Economy (ICAID 2023) will continue to focus on the latest research on "Artificial intelligence, the Internet and the Digital Economy", and expand the research on "technology and application of the integrated development of Digital Economy and Artificial Intelligence" as the theme. The aim is to gather experts, scholars, researchers and related practitioners from around the world to share research results, discuss hot issues, and provide participants with cutting-edge technology information so that they can keep abreast of industry developments, the latest technologies and broaden their research horizons. The conference was held in Beijing, China on April 21-23, 2023. All experts and scholars are welcome to attend.
Advances in Cyberology and the Advent of the Next-Gen Information Revolution
Author: Husain, Mohd Shahid
Publisher: IGI Global
ISBN: 1668481359
Category : Computers
Languages : en
Pages : 291
Book Description
The past decade has witnessed a leap in the cyber revolution around the world. Significant progress has been made across a broad spectrum of terminologies used in the cyber world. Various threats have also emerged due to this cyber revolution that requires far greater security measures than ever before. In order to adapt to this evolution effectively and efficiently, it calls for a better understanding of the ways in which we are ready to embrace this change. Advances in Cyberology and the Advent of the Next-Gen Information Revolution creates awareness of the information threats that these technologies play on personal, societal, business, and governmental levels. It discusses the development of information and communication technologies (ICT), their connection with the cyber revolution, and the impact that they have on every facet of human life. Covering topics such as cloud computing, deepfake technology, and social networking, this premier reference source is an ideal resource for security professionals, IT managers, administrators, students and educators of higher education, librarians, researchers, and academicians.
Publisher: IGI Global
ISBN: 1668481359
Category : Computers
Languages : en
Pages : 291
Book Description
The past decade has witnessed a leap in the cyber revolution around the world. Significant progress has been made across a broad spectrum of terminologies used in the cyber world. Various threats have also emerged due to this cyber revolution that requires far greater security measures than ever before. In order to adapt to this evolution effectively and efficiently, it calls for a better understanding of the ways in which we are ready to embrace this change. Advances in Cyberology and the Advent of the Next-Gen Information Revolution creates awareness of the information threats that these technologies play on personal, societal, business, and governmental levels. It discusses the development of information and communication technologies (ICT), their connection with the cyber revolution, and the impact that they have on every facet of human life. Covering topics such as cloud computing, deepfake technology, and social networking, this premier reference source is an ideal resource for security professionals, IT managers, administrators, students and educators of higher education, librarians, researchers, and academicians.
Intelligent Systems Design and Applications
Author: Ajith Abraham
Publisher: Springer Nature
ISBN: 3031355075
Category : Technology & Engineering
Languages : en
Pages : 614
Book Description
This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.
Publisher: Springer Nature
ISBN: 3031355075
Category : Technology & Engineering
Languages : en
Pages : 614
Book Description
This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.
Green Machine Learning Protocols for Future Communication Networks
Author: Saim Ghafoor
Publisher: CRC Press
ISBN: 1000968936
Category : Computers
Languages : en
Pages : 249
Book Description
Machine learning has shown tremendous benefits in solving complex network problems and providing situation and parameter prediction. However, heavy resources are required to process and analyze the data, which can be done either offline or using edge computing but also requires heavy transmission resources to provide a timely response. The need here is to provide lightweight machine learning protocols that can process and analyze the data at run time and provide a timely and efficient response. These algorithms have grown in terms of computation and memory requirements due to the availability of large data sets. These models/algorithms also require high levels of resources such as computing, memory, communication, and storage. The focus so far was on producing highly accurate models for these communication networks without considering the energy consumption of these machine learning algorithms. For future scalable and sustainable network applications, efforts are required toward designing new machine learning protocols and modifying the existing ones, which consume less energy, i.e., green machine learning protocols. In other words, novel and lightweight green machine learning algorithms/protocols are required to reduce energy consumption which can also reduce the carbon footprint. To realize the green machine learning protocols, this book presents different aspects of green machine learning for future communication networks. This book highlights mainly the green machine learning protocols for cellular communication, federated learning-based models, and protocols for Beyond Fifth Generation networks, approaches for cloud-based communications, and Internet-of-Things. This book also highlights the design considerations and challenges for green machine learning protocols for different future applications.
Publisher: CRC Press
ISBN: 1000968936
Category : Computers
Languages : en
Pages : 249
Book Description
Machine learning has shown tremendous benefits in solving complex network problems and providing situation and parameter prediction. However, heavy resources are required to process and analyze the data, which can be done either offline or using edge computing but also requires heavy transmission resources to provide a timely response. The need here is to provide lightweight machine learning protocols that can process and analyze the data at run time and provide a timely and efficient response. These algorithms have grown in terms of computation and memory requirements due to the availability of large data sets. These models/algorithms also require high levels of resources such as computing, memory, communication, and storage. The focus so far was on producing highly accurate models for these communication networks without considering the energy consumption of these machine learning algorithms. For future scalable and sustainable network applications, efforts are required toward designing new machine learning protocols and modifying the existing ones, which consume less energy, i.e., green machine learning protocols. In other words, novel and lightweight green machine learning algorithms/protocols are required to reduce energy consumption which can also reduce the carbon footprint. To realize the green machine learning protocols, this book presents different aspects of green machine learning for future communication networks. This book highlights mainly the green machine learning protocols for cellular communication, federated learning-based models, and protocols for Beyond Fifth Generation networks, approaches for cloud-based communications, and Internet-of-Things. This book also highlights the design considerations and challenges for green machine learning protocols for different future applications.
Machine Learning and Computational Intelligence Techniques for Data Engineering
Author: Pradeep Singh
Publisher: Springer Nature
ISBN: 9819900476
Category : Technology & Engineering
Languages : en
Pages : 885
Book Description
This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.
Publisher: Springer Nature
ISBN: 9819900476
Category : Technology & Engineering
Languages : en
Pages : 885
Book Description
This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.
Intelligent Communication Technologies and Virtual Mobile Networks
Author: G. Rajakumar
Publisher: Springer Nature
ISBN: 9819917670
Category : Technology & Engineering
Languages : en
Pages : 923
Book Description
The book is a collection of high-quality research papers presented at Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2023), held at Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India, during February 16–17, 2023. The book shares knowledge and results in theory, methodology, and applications of communication technology and mobile networks. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of computer networks, network protocols and wireless networks, data communication technologies, and network security.
Publisher: Springer Nature
ISBN: 9819917670
Category : Technology & Engineering
Languages : en
Pages : 923
Book Description
The book is a collection of high-quality research papers presented at Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2023), held at Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India, during February 16–17, 2023. The book shares knowledge and results in theory, methodology, and applications of communication technology and mobile networks. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of computer networks, network protocols and wireless networks, data communication technologies, and network security.
Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases
Author: Rodriguez, Raul Villamarin
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 346
Book Description
Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders. Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases.
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 346
Book Description
Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders. Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases.
AI Applications for Disease Diagnosis and Treatment
Author: El Ouazzani, Rajae
Publisher: IGI Global
ISBN: 1668423065
Category : Medical
Languages : en
Pages : 332
Book Description
Artificial intelligence (AI) technology has been very successful across fields such as healthcare, security, precision agriculture, smart city, and autonomous driving and promises numerous benefits for social development, economic growth, wellbeing management, and human healthcare. Various intelligent healthcare applications have been created in order to assist patient healthcare and must be studied further. AI Applications for Disease Diagnosis and Treatment provides the current advances and applications of artificial intelligence applications in healthcare such as disease diagnosis, diet proposal, drug prescription and tracking, and physical and psychological assistance. Covering topics such as assistive healthcare, robotics, and machine learning, it is ideal for healthcare professionals, researchers, data analysts, academicians, practitioners, scholars, instructors, and students.
Publisher: IGI Global
ISBN: 1668423065
Category : Medical
Languages : en
Pages : 332
Book Description
Artificial intelligence (AI) technology has been very successful across fields such as healthcare, security, precision agriculture, smart city, and autonomous driving and promises numerous benefits for social development, economic growth, wellbeing management, and human healthcare. Various intelligent healthcare applications have been created in order to assist patient healthcare and must be studied further. AI Applications for Disease Diagnosis and Treatment provides the current advances and applications of artificial intelligence applications in healthcare such as disease diagnosis, diet proposal, drug prescription and tracking, and physical and psychological assistance. Covering topics such as assistive healthcare, robotics, and machine learning, it is ideal for healthcare professionals, researchers, data analysts, academicians, practitioners, scholars, instructors, and students.