Advances In Brain Vision And Artificial Intelligence
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Advances In Brain Vision And Artificial Intelligence
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Author : Francesco Mele
language : en
Publisher: Springer
Release Date : 2007-09-21
Advances In Brain Vision And Artificial Intelligence written by Francesco Mele and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-21 with Computers categories.
This book constitutes the refereed proceedings of the Second International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2007. Coverage includes: basic models in visual sciences, cortical mechanism of vision, color processing in natural vision, action oriented vision, visual recognition and attentive modulation, biometric recognition, image segmentation and recognition, disparity calculation and noise analysis, meaning-interaction-emotion, and robot navigation.
Advances In Artificial Intelligence And Machine Learning
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Author : Gaurav Raj
language : en
Publisher: Springer Nature
Release Date : 2025-03-16
Advances In Artificial Intelligence And Machine Learning written by Gaurav Raj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-16 with Computers categories.
This book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2023. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Advances And Trends In Artificial Intelligence Theory And Applications
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Author : Hamido Fujita
language : en
Publisher: Springer Nature
Release Date : 2025-08-01
Advances And Trends In Artificial Intelligence Theory And Applications written by Hamido Fujita and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Computers categories.
This book constitutes the refereed proceedings of the 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems on Advances and Trends in Artificial Intelligence, IEA/AIE 2025, held in Kitakyushu, Japan, in July 1–4, 2025. The 80 full papers and 9 short papers included in this book were carefully reviewed and selected from 130 submissions. They focus on the following topical sections: Part I: Reinforcement Learning; Optimization; Natural Language Processing; Multi-Agent; Machine Learning and Decision Making; Knowledge Representation; Data Engineering; Large Language Model; Computer Vision. Part II: Robotics; Education; Cyber Security; Healthcare and Medical Applications; Advanced Applied Intelligence Methodologies and Applications; Intelligent Systems and e-Applications; Industrial and Engineering Applications.
Advanced Artificial Intelligence Third Edition
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Author : Zhongzhi Shi
language : en
Publisher: World Scientific
Release Date : 2024-11-04
Advanced Artificial Intelligence Third Edition written by Zhongzhi Shi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-04 with Computers categories.
This third edition comprehensively captures the cutting-edge research achievements of AI. Topics are thoroughly revised and updated, presenting the latest techniques and strategies to address the impending challenges facing computer scientists today.The useful reference text benefits professionals, academics, researchers, senior and graduate students in the information field and related tertiary specialties.
Advances In Artificial Intelligence
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Author : Kunal Pal
language : en
Publisher: Elsevier
Release Date : 2024-05-21
Advances In Artificial Intelligence written by Kunal Pal and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-21 with Science categories.
Artificial Intelligence in health care has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals such as electrocardiogram (ECG/ EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, nerve conduction, etc., and for bio-imaging modalities, such as Computed Tomography (CT), Cone-Beam Computed Tomography (CBCT), MRI (Magnetic Resonance Imaging), etc. Advancements in Artificial intelligence and big data has increased the development of innovative medical devices in health care applications. Recent Advances in Artificial Intelligence: Medical Applications provides an overview of artificial intelligence in biomedical applications including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in biomedical field including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, as well as develop AI-based medical devices. - Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used - Provides an understanding of the design of experiments to validate the developed algorithms - Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques
Advancements In Artificial Intelligence And Machine Learning
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Author : Asif Khan, Mohammad Kamrul Hasan, Naushad Varish, Mohammed Aslam Husain
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-06-19
Advancements In Artificial Intelligence And Machine Learning written by Asif Khan, Mohammad Kamrul Hasan, Naushad Varish, Mohammed Aslam Husain 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 2025-06-19 with Computers categories.
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries, reshaping the way we interact with technology, and driving innovation across multiple disciplines. Advancements in Artificial Intelligence and Machine Learning is a comprehensive exploration of the latest developments, applications, and challenges in AI and ML, offering insights into cutting-edge research and real-world implementations. This book is a collection of twelve chapters, each exploring a distinct application of Artificial Intelligence (AI) and Machine Learning (ML). It begins with an overview of AI’s transformative role in Next-Gen Mechatronics, followed by a comprehensive review of key advancements and trends in the field. The book then examines AI’s impact across diverse sectors, including energy, digital communication, and security, with topics such as AI-based aging analysis of power transformer oil, AI in social media management, and AI-driven human detection systems. Further chapters address sentiment analysis, visual analysis for image processing, and the integration of AI in smart grid networks. The volume also covers AI applications in hardware security for wireless sensor networks, drone robotics, and crime prevention systems. The final set of chapters highlight AI’s role in healthcare and automation, including an AI-assisted system for women’s safety in India and the use of EfficientNet B0 CNN architecture for brain tumor detection and classification. Together, these chapters showcase the versatility and growing influence of AI and ML across critical modern industries. Key features A multidisciplinary approach covering AI applications in robotics, cybersecurity, healthcare, and digital transformation in 12 organized chapters. A focus on contemporary challenges and solutions in AI and ML across industries. Research-driven insights from experts and practitioners in the field. Practical discussions on AI-driven automation, security, and intelligent decision-making systems.
Advanced Artificial Intelligence Second Edition
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Author : Zhongzhi Shi
language : en
Publisher: World Scientific
Release Date : 2019-08-05
Advanced Artificial Intelligence Second Edition written by Zhongzhi Shi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-05 with Computers categories.
The joint breakthrough of big data, cloud computing and deep learning has made artificial intelligence (AI) the new focus in the international arena. AI is a branch of computer science, developing intelligent machine with imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behaviour.This comprehensive compendium, consisting of 15 chapters, captures the updated achievements of AI. It is completely revised to reflect the current researches in the field, through numerous techniques and strategies to address the impending challenges facing computer scientists today.The unique volume is useful for senior or graduate students in the information field and related tertiary specialities. It is also a suitable reference text for professionals, researchers, and academics in AI, machine learning, electrical & electronic engineering and biocomputing.
Evolving Fuzzy Systems Methodologies Advanced Concepts And Applications
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Author : Edwin Lughofer
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-19
Evolving Fuzzy Systems Methodologies Advanced Concepts And Applications written by Edwin Lughofer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-19 with Mathematics categories.
In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence
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Author : Nikola K. Kasabov
language : en
Publisher: Springer
Release Date : 2018-08-29
Time Space Spiking Neural Networks And Brain Inspired Artificial Intelligence written by Nikola K. Kasabov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Technology & Engineering categories.
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Advanced Artificial Intelligence And Robotics
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Author : Prof. V.S. Manjula
language : en
Publisher: Orange book publication
Release Date : 2025-04-08
Advanced Artificial Intelligence And Robotics written by Prof. V.S. Manjula and has been published by Orange book publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
The book is divided into six chapters. The behavioral perspective of "human cognition" is covered first, followed by a detailed discussion of the instruments and methods needed to make it intelligently possible for machines. Enough information has been addressed in the traditional chapters on search, symbolic logic, planning, and machine learning, including the most recent studies on the topics. The contemporary facets of soft computing have been presented from the very beginning and covered in a way that is somewhat informal, making it easy for a novice to understand. Non-monotonic and spatiotemporal reasoning, knowledge acquisition, verification, Non-monotonic and spatiotemporal thinking, knowledge acquisition, verification, validation, and maintenance challenges, the realization of cognition on machines, and the design of AI machines are among the topics of AI research that are discussed in the book. The two case studies that conclude the book—one on "criminal investigation of expert systems" and the other on "navigational planning of robots"—focus mostly on the implementation of intelligent systems through the use of the techniques discussed in the book.