What does it take to move from recognizing static objects in images to truly understanding dynamic human behavior in complex scenes? This book provides the answer by introducing a groundbreaking framework that fuses image engineering with spatiotemp...Loe edasi...
This new edition of Signal and Image Processing for Remote Sensing emphasizes the use of machine learning approaches to remote sensing information extraction, change detection, and compressed sensing. With 19 new chapters written by world l...Loe edasi...
This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach for obtaining new insights from geospatial data analysis a...Loe edasi...
This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. It uses case studies and examples to dis...Loe edasi...
With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques ha...Loe edasi...
Point clouds from LiDAR and photogrammetry are vital and vast sources of geospatial information besides remote sensing imagery. This book provides the latest theory and methodology for point cloud processing with AI to better serve earth observati...Loe edasi...
This book provides a comprehensive overview of the use of vision attentive technology and artificial intelligence methodologies for functional mobility assessment in elderly populations. This book provides a comprehensive overview o...Loe edasi...
Volume IV of the Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in forestry, biodiversity, ecology, land use and land cover, and global terrestrial carbon mapping and monitoring. This book is an essential resource f...Loe edasi...
Volume I of the Remote Sensing Handbook, Second Edition, is focused on satellites and sensors including Radar, LiDAR, Microwave, Hyperspectral, UAVs and their applications. It integrates discussions of remote sensing principles, data, methods, devel...Loe edasi...
Explains the fundamental concepts of LiDAR technology and its extended spaceborne, airborne, terrestrial, mobile, UAV platforms. It addresses the challenges of massive LiDAR data intelligent processing, LiDAR software, and in-depth applications. A c...Loe edasi...
This book reviews the information provided by an artificial intelligencebased methodology for the characterization of artworks and the attribution of a piece to a particular artist. Until now, such approaches have been applied mainly to oil painting...Loe edasi...
The Inaugural International Workshop on Applied Mathematics and Machine Learning aspires to convene a distinguished assembly of scientists, scholars, and innovators dedicated to advancing the frontiers of mathematical inquiry and its transformative...Loe edasi...
The book explores the intricate nexus between biometric systems and the need for preserving data integrity as well as security needed during the data communication. It offers a systematic and insightful journey through the multifaceted landscape o...Loe edasi...
This book surveys normalization techniques with a deep analysis in training deep neural networks. Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and have b...Loe edasi...
The book covers theory and applications of computer vision highlighting recent advancements and with adequate treatment of foundation topics of image and signal processing, pattern recognition and machine learning, and projective and differential geo...Loe edasi...
This book provides a focused, research-forward guide to making large AI models efficient in practice and also presents an array of novel techniques to reduce memory footprint, accelerate computation, and improve overall hardware utilization. The aut...Loe edasi...
High-resolution magnetic resonance imaging (MRI) is clinically vital but inherently slow. Accelerating acquisition via undersampling introduces artefacts, whereas long scans risk motion blur; traditional solutions, such as compressed sensing, often...Loe edasi...
This book starts from the development status of remote sensing image intelligent interpretation and application technology. It systematically introduces the main progress of this field and its application, focusing on remote sensing image intelligen...Loe edasi...
The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis....Loe edasi...
The text presents the latest innovations on intelligent quantum information processing involving quantum machine learning for solving real life problems. It will serve as an ideal reference text for graduate students, and academic researchers in div...Loe edasi...
This book comprehensively discusses the role of cloud computing in artificial intelligence-based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to mee...Loe edasi...
This book presents recent theoretical advances and applications of fuzzy sets and their extensions to Science, Humanities and Education....Loe edasi...
Presents new and advanced concepts, theories, and methodologies in radar polarimetry, bridging the gaps between the target scattering diversity, polarimetric radar data, and their practical applications, providing a comprehensive summarization and i...Loe edasi...
The book will be related to applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. Visual Sensing and Ubiquitous Computing explores applied machine learning and deep learni...Loe edasi...
The book will be related to applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. This book explores applied machine learning and deep learning in the field of sensing, vision and...Loe edasi...
This book provides a systematic and in-depth introduction to machine unlearning (MU) for foundation models, framed through an optimizationmodeldata tri-design perspective and complemented by assessments and applications. As foundation models are con...Loe edasi...
This book explores utilization of digital twin technology and geospatial science for the digital transformation of urban planning, environmental monitoring, infrastructure, and disaster response using a series of present tools of data collection and...Loe edasi...
This third edition of The Physics of Medical Imaging provides completely new and comprehensive descriptions of the physical principles and concepts which underpin all the medical imaging technologies found in modern hospitals, inclu...Loe edasi...
This third edition of The Physics of Medical Imaging provides completely new and comprehensive descriptions of the physical principles and concepts which underpin all the medical imaging technologies found in modern hospitals, inclu...Loe edasi...
(Ilmumisaeg: 23-Apr-2026, Multiple-component retail product, Kirjastus: Taylor & Francis Ltd, ISBN-13: 9781032756370)
The Complete Guide to Blender Graphics: Computer Modeling and Animation, Eighth Edition is a unified manual describing the operation of the program, updated with reference to the Graphical User Interface for Blender Version 3.2.2, in...Loe edasi...
What does it take to move from recognizing static objects in images to truly understanding dynamic human behavior in complex scenes? This book provides the answer by introducing a groundbreaking framework that fuses image engineering with spatiotemp...Loe edasi...
This new edition of Signal and Image Processing for Remote Sensing emphasizes the use of machine learning approaches to remote sensing information extraction, change detection, and compressed sensing. With 19 new chapters written by world l...Loe edasi...
This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach for obtaining new insights from geospatial data analysis a...Loe edasi...
This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. It uses case studies and examples to dis...Loe edasi...
With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques ha...Loe edasi...
Point clouds from LiDAR and photogrammetry are vital and vast sources of geospatial information besides remote sensing imagery. This book provides the latest theory and methodology for point cloud processing with AI to better serve earth observati...Loe edasi...
This book provides a comprehensive overview of the use of vision attentive technology and artificial intelligence methodologies for functional mobility assessment in elderly populations. This book provides a comprehensive overview o...Loe edasi...
Volume IV of the Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in forestry, biodiversity, ecology, land use and land cover, and global terrestrial carbon mapping and monitoring. This book is an essential resource f...Loe edasi...
Volume I of the Remote Sensing Handbook, Second Edition, is focused on satellites and sensors including Radar, LiDAR, Microwave, Hyperspectral, UAVs and their applications. It integrates discussions of remote sensing principles, data, methods, devel...Loe edasi...
Explains the fundamental concepts of LiDAR technology and its extended spaceborne, airborne, terrestrial, mobile, UAV platforms. It addresses the challenges of massive LiDAR data intelligent processing, LiDAR software, and in-depth applications. A c...Loe edasi...
This book reviews the information provided by an artificial intelligencebased methodology for the characterization of artworks and the attribution of a piece to a particular artist. Until now, such approaches have been applied mainly to oil painting...Loe edasi...
The Inaugural International Workshop on Applied Mathematics and Machine Learning aspires to convene a distinguished assembly of scientists, scholars, and innovators dedicated to advancing the frontiers of mathematical inquiry and its transformative...Loe edasi...
The book explores the intricate nexus between biometric systems and the need for preserving data integrity as well as security needed during the data communication. It offers a systematic and insightful journey through the multifaceted landscape o...Loe edasi...
This book surveys normalization techniques with a deep analysis in training deep neural networks. Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and have b...Loe edasi...
The book covers theory and applications of computer vision highlighting recent advancements and with adequate treatment of foundation topics of image and signal processing, pattern recognition and machine learning, and projective and differential geo...Loe edasi...
This book provides a focused, research-forward guide to making large AI models efficient in practice and also presents an array of novel techniques to reduce memory footprint, accelerate computation, and improve overall hardware utilization. The aut...Loe edasi...
High-resolution magnetic resonance imaging (MRI) is clinically vital but inherently slow. Accelerating acquisition via undersampling introduces artefacts, whereas long scans risk motion blur; traditional solutions, such as compressed sensing, often...Loe edasi...
This book starts from the development status of remote sensing image intelligent interpretation and application technology. It systematically introduces the main progress of this field and its application, focusing on remote sensing image intelligen...Loe edasi...
The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis....Loe edasi...
