2024 Real Time Intelligent Systems
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2024 Real Time Intelligent Systems
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Author : Pit Pichappan
language : en
Publisher: Springer Nature
Release Date : 2025-06-07
2024 Real Time Intelligent Systems written by Pit Pichappan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-07 with Computers categories.
In the rapidly advancing field of Intelligent Computing, tracking, monitoring, synthesizing, and inferencing real-time data is becoming a crucial field of interest. This will impact several research themes, including all sub-domains of AI. The significance of real-time data processing lies in their ability to produce remarkably realistic implications, thereby mitigating challenges associated with intelligence capturing. This compendium reflects the recent progress in real-time intelligence, sensing the innovative approaches and addressing the challenges. It includes both core research and various applications in various disciplines. This publication enables young researchers and master’s students to understand the requirements for initiating research in real-time computing.
2024 Real Time Intelligent Systems
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Author : Pit Pichappan
language : en
Publisher: Springer
Release Date : 2025-06-16
2024 Real Time Intelligent Systems written by Pit Pichappan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.
In the rapidly advancing field of Intelligent Computing, tracking, monitoring, synthesizing, and inferencing real-time data is becoming a crucial field of interest. This will impact several research themes, including all sub-domains of AI. The significance of real-time data processing lies in their ability to produce remarkably realistic implications, thereby mitigating challenges associated with intelligence capturing. This compendium reflects the recent progress in real-time intelligence, sensing the innovative approaches and addressing the challenges. It includes both core research and various applications in various disciplines. This publication enables young researchers and master’s students to understand the requirements for initiating research in real-time computing.
Advances In Real Time Intelligent Systems
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Author : Pit Pichappan
language : en
Publisher: Springer Nature
Release Date : 2024-03-23
Advances In Real Time Intelligent Systems written by Pit Pichappan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-23 with Computers categories.
The current information society is transitioning to an intelligent society where real-world and real-data applications have a profound influence. Real-time computing has an enormous impact on the future information society. Unimaginable applications have been emerging in real-time applications in the last two years. Logical reasoning and inference-making activities by machines have become a reality. Complex and heterogeneous data are being processed and infused into machine intelligence, bringing machine intelligence equal to human intelligence. Real-time data and real-time intelligence are the crux of the current research. This book of 41 papers in real-time intelligent systems addresses various issues ranging from real-time algorithms to various applications in real-time intelligence. The contributions of this book will mark a significant impact in the near-future research in real-time intelligence.
Proceedings Of International Conference On Image Vision And Intelligent Systems 2024 Icivis 2024
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Author : Peng You
language : en
Publisher: Springer Nature
Release Date : 2025-05-22
Proceedings Of International Conference On Image Vision And Intelligent Systems 2024 Icivis 2024 written by Peng You and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-22 with Computers categories.
This book constitutes the refereed proceedings of ICIVIS2024, held in Xining, China, in June 2024. This book provides a comprehensive collection of cutting-edge research and innovative solutions in image, vision and intelligent systems. The primary audience consists of academic researchers, industry professionals, and graduate students working in the domains of image, vision, and intelligent systems. This publication serves as an essential resource for those seeking to stay at the forefront of their respective fields, expand their knowledge, and explore new avenues for research and development.
Lecture Notes In Real Time Intelligent Systems
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Author : Jolanta Mizera-Pietraszko
language : en
Publisher:
Release Date : 2019
Lecture Notes In Real Time Intelligent Systems written by Jolanta Mizera-Pietraszko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with COMPUTERS categories.
The second volume of the book series highlights works presented at the 2nd International Conference on Real Time Intelligent Systems, held in Casablanca on October 18-20, 2017 . The book offers a comprehensive, practical review of the state-of-the-art in designing and implementing real-time intelligent computing for the areas within the conference's scope such as robotics, intelligent alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowdsourcing, broadband systems, cloud computing, streaming data and many other applications. Research in real-time computing supports decision making in dynamic environments. Some examples include ABS, FBW flight control, automatic air-conditioning, etc. Intelligent computing relies heavily on artificial intelligence (AI) to make computers act for humans. The authors are confident that the solutions discussed in this book will provide a unique source of information and inspiration for researchers working in AI, distributed coding algorithms or smart services and platforms, and for IT professionals, who can integrate the proposed methods into their practice.
Algorithms In Advanced Artificial Intelligence
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Author : R. N. V. Jagan Mohan
language : en
Publisher: CRC Press
Release Date : 2025-05-23
Algorithms In Advanced Artificial Intelligence written by R. N. V. Jagan Mohan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. It addresses the growing attention to advanced technologies due to their ability to provide “paranormal solutions” to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI.
Developments Towards Next Generation Intelligent Systems For Sustainable Development
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Author : Sharma, Shanu
language : en
Publisher: IGI Global
Release Date : 2024-04-04
Developments Towards Next Generation Intelligent Systems For Sustainable Development written by Sharma, Shanu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-04 with Business & Economics categories.
The rapid proliferation of connected devices in our daily lives, from smart homes to industrial sensors, has led to an explosion of data that requires processing before it is useful to experts. However, modern devices often have limited resources, making it challenging to decode and utilize this data effectively. Additionally, the need for real-time decision-making further complicates this issue, as traditional data processing methods take far too long to be able to keep up with the required volume and speed. Developments Towards Next Generation Intelligent Systems for Sustainable Development offers a comprehensive solution to these challenges by integrating novel technologies such as AI, edge computing, federated learning, quantum computing, and more. The book shows how intelligent systems can maximize computing power by leveraging these technologies to process large volumes of data efficiently and autonomously and make real-time decisions. The proposed architectures and frameworks focus on real-time analysis, faster decision-making, enhanced privacy, and efficient data processing.
Proceeding Of The International Conference On Connected Objects And Artificial Intelligence Cocia2024
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Author : Youssef Mejdoub
language : en
Publisher: Springer Nature
Release Date : 2024-10-12
Proceeding Of The International Conference On Connected Objects And Artificial Intelligence Cocia2024 written by Youssef Mejdoub and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-12 with Technology & Engineering categories.
’This book presents recent advances on Connected Objects, Systems, Telecommunications, Artificial Intelligence, and Electronic Engineering. On the connected objects side, the proceedings covered advancements in areas like sensor miniaturization, and networking to enable ever-more ubiquitous and autonomous IoT deployments. The AI-focused contributions explored novel machine learning architectures and training techniques tailored for resource-constrained edge devices. Key breakthroughs included federated learning models. In the telecommunications realm, the proceedings examined the critical role of 5G, 6G, and satellite communications in providing the high-bandwidth, low-latency connectivity required to unlock the full potential of AI-powered connected systems. This book is a collection of high-quality research papers presented at the 2nd International Conference on Connected Objects and Artificial Intelligence (COCIA'2024), held at High School of Technology, Hassan II University, Casablanca, Morocco, during 08–10 May 2024. This book features cutting-edge research and insights at the intersection of the important technology domains, Connected Objects, Systems, Telecommunications, Artificial Intelligence, and Electronic Engineering. It is designed for researchers, academicians, professionals, and graduates seeking to deepen their understanding and expertise at the intersection of IoT, AI, Telecommunications, and Electronic Engineering. This book includes: In-depth exploration of the latest advancements in connected objects and systems to enable autonomous IoT deployments. Detailed examinations of cutting-edge AI techniques optimized for edge computing environments, including federated learning and IA model compression. Insights into the critical role of 5G, 6G, and satellite communications in providing the high-performance connectivity required to unlock the full potential of intelligent, AI-powered IoT applications. With contributions from leading experts across academia and industry, this book equips readers with the knowledge and tools to drive innovation at the forefront of the connected intelligence revolution. It is an essential resource for anyone seeking to advance the state of the art in this rapidly evolving field.
Scalable Artificial Intelligence For Healthcare
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Author : Houneida Sakly
language : en
Publisher: CRC Press
Release Date : 2025-05-06
Scalable Artificial Intelligence For Healthcare written by Houneida Sakly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Computers categories.
This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to scale AI applications in healthcare, addressing areas such as diagnosis, treatment, and patient care. Key topics include data scalability, model deployment, and infrastructure design, highlighting the use of microservices, containerization, cloud computing, and big data technologies in building scalable AI systems. Discussions cover advancements in machine learning models, distributed processing, and transfer learning, alongside critical considerations such as continuous integration, data privacy, and ethics. Real-world case studies depict both the successes and challenges of implementing scalable AI across various healthcare environments, offering valuable insights for future advancements. This volume serves as a practical and theoretical guide for healthcare professionals, AI researchers, and technology enthusiasts seeking to develop or expand on AI-driven healthcare solutions to address global health challenges effectively.
Federated Learning Based Intelligent Systems To Handle Issues And Challenges In Iovs Part 1
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Author : Shelly Gupta, Puneet Garg, Jyoti Agarwal, Hardeo Kumar Thakur, Satya Prakash Yadav
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-12-13
Federated Learning Based Intelligent Systems To Handle Issues And Challenges In Iovs Part 1 written by Shelly Gupta, Puneet Garg, Jyoti Agarwal, Hardeo Kumar Thakur, Satya Prakash Yadav and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-13 with Computers categories.
Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) examines how federated learning can address key challenges within the Internet of Vehicles, from data security to routing efficiency. This volume explores how federated learning, a decentralized approach to machine learning, enables secure and adaptive IoV systems that enhance road safety, optimize traffic flow, and support reliable data sharing. Chapters cover essential topics, including technologies to address IoV routing issues, secure data exchange using blockchain, privacy-preserving methods, and NLP applications for vehicle safety. By combining theoretical insights with practical solutions, the book highlights how federated learning fosters scalable, resilient IoV systems that respond dynamically to the demands of connected vehicles. Key Features: - Addresses data privacy, secure communication, and adaptive solutions in IoV - Explores federated learning applications in real-time IoV systems - Combines practical examples with theoretical foundations in IoV technology - Includes emerging research areas in IoV federated learning frameworks