Deep Learning For Robot Perception And Cognition
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Deep Learning For Robot Perception And Cognition
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Author : Alexandros Iosifidis
language : en
Publisher: Academic Press
Release Date : 2022-02-04
Deep Learning For Robot Perception And Cognition written by Alexandros Iosifidis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Technology & Engineering categories.
Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
Robot Cognition And Navigation
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Author : Srikanta Patnaik
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-12
Robot Cognition And Navigation written by Srikanta Patnaik 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 2007-07-12 with Technology & Engineering categories.
This book presents the concept of cognition in a clear, lucid and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms, and demonstrates their application with real life experiments.
Proceedings Of The Third International Conference On Advances In Computing Research Acr 25
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Author : Kevin Daimi
language : en
Publisher: Springer Nature
Release Date : 2025-05-17
Proceedings Of The Third International Conference On Advances In Computing Research Acr 25 written by Kevin Daimi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Computers categories.
This book concentrates on advances in research in the areas of computational intelligence, cybersecurity engineering, data analytics engineering, network and communications, cloud and mobile computing, software engineering, and robotics and automation. The Third International Conference on Advances in Computing Research (ACR’25), July 7–9, 2025, Nice, France, brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the advances in computing technologies. The conference is aptly segmented into six tracks to promote a birds-of-the-same-feather congregation and maximize participation. It introduces the concepts, techniques, methods, approaches, and trends needed by researchers, graduate students, specialists, and educators for keeping current and enhancing their research and knowledge in these areas.
Machine Learning And Robot Perception
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Author : Bruno Apolloni
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-09-14
Machine Learning And Robot Perception written by Bruno Apolloni 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 2005-09-14 with Technology & Engineering categories.
This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.
Innovations And Advances In Cognitive Systems
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Author : S. D. Prabu Ragavendiran
language : en
Publisher: Springer Nature
Release Date : 2024-09-03
Innovations And Advances In Cognitive Systems written by S. D. Prabu Ragavendiran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-03 with Computers categories.
This book is a collection of carefully selected quality research contributions that report the advances in Artificial Intelligence (AI). Composed of 37 individual research chapters, this book explores how AI is transforming health care, agriculture, security, image processing, and more to describe how artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies improve patient care, enhance agriculture, develop smarter transportation systems, and automate tasks across industries. This book is for researchers, professionals, and enthusiasts who want to understand the future of AI and its potential applications. It also serves as a valuable resource for professionals who are seeking to understand how AI will impact their industry, or tech enthusiasts captivated by the potential of this transformative technology.
Deep Learning Innovations For Securing Critical Infrastructures
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Deep Learning Innovations For Securing Critical Infrastructures written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.
Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.
8th International Conference On Advancements Of Medicine And Health Care Through Technology
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Author : Simona Vlad
language : en
Publisher: Springer Nature
Release Date : 2024-01-08
8th International Conference On Advancements Of Medicine And Health Care Through Technology written by Simona Vlad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-08 with Technology & Engineering categories.
This book gathers the proceedings of the 8th International Conference on Advancements of Medicine and Health Care through Technology, MEDITECH 2022, held virtually on 20–22 October 2022, from Cluj-Napoca, Romania. It reports on both theoretical and practical developments in biomedical imaging and image processing, health technology, technologies for education, and biomedical signal processing and medical devices, measurements and instrumentation. Both the conference and the realization of this book were supported by the Romanian National Society for Medical Engineering and Biological Technology (SNIMTB).
Cognitive Processing In Behavior Based Perception Of Autonomous Off Road Vehicles
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Author : Patrick Wolf
language : en
Publisher: Patrick Wolf
Release Date : 2022-10-02
Cognitive Processing In Behavior Based Perception Of Autonomous Off Road Vehicles written by Patrick Wolf and has been published by Patrick Wolf this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-02 with Technology & Engineering categories.
This work addresses the environmental recognition of autonomous off-road vehicles. Algorithms, like deep learning, offer impressive performance regarding the classification and segmentation of a scene. However, context changes, scene variabilities, or disturbances pose significant challenges to these approaches and cause perception failures. A challenge is achieving the universal applicability of perception algorithms. Usually, an algorithm fails in particular situations due to unconsidered circumstances in the design phase, and complexity prevents fully considering all details. Accordingly, this thesis aims to increase the perception’s robustness through context and data incorporation. Furthermore, it derives concepts for transferring methods to other robots and scenes. A hint that such a task is achievable provides human cognition, which is remarkably skillful and adjusts to arbitrary situations. Biologically motivated perception and cognitive research indicate how an achievable perception design might function, leading to guidelines for artificial perception conception. The paradigm of behavior-based systems suits these criteria due to modularity, reactivity, and robustness. It allows realizing robust and transferable perception and control systems. Consequently, the thesis proposes a novel and reconfigurable behavior-based top-down and bottom-up perception approach. Quality assessment for data filtering and deviation control is a central aspect, resulting in improved perception and data fusion results. Attentional processing allows for selecting data based on attractiveness, task, environmental context, and history. Further, context assessment of classification results enables reasoning according to the robot’s memories and knowledge. Validation uses five demonstrator vehicles operating in diverse environments and fulfilling distinct tasks. Here, a robust performance was achievable, and perception adjusted well to the tested scenes and hardware layouts.
Deep Learning Based Forward Modeling And Inversion Techniques For Computational Physics Problems
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Author : Yinpeng Wang
language : en
Publisher: CRC Press
Release Date : 2023-07-06
Deep Learning Based Forward Modeling And Inversion Techniques For Computational Physics Problems written by Yinpeng Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-06 with Computers categories.
This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 4. Finally, in Chapter 5, a series of the latest advanced frameworks and the corresponding physics applications are introduced. As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.
Advances In Computational Intelligence
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Author : Hiram Calvo
language : en
Publisher: Springer Nature
Release Date : 2023-11-08
Advances In Computational Intelligence written by Hiram Calvo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-08 with Computers categories.
The two-volume set LNAI 14391 and 14392 constitutes the proceedings of the 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, held in Yucatán, Mexico, in November 2023. The total of 49 papers presented in these two volumes was carefully reviewed and selected from 115 submissions. The proceedings of MICAI 2023 are published in two volumes. The first volume, Advances in Computational Intelligence, contains 24 papers structured into three sections: – Machine Learning – Computer Vision and Image Processing – Intelligent Systems The second volume, Advances in Soft Computing, contains 25 papers structured into three sections: – Natural Language Processing – Bioinformatics and Medical Applications – Robotics and Applications