Deep Learning In Action Image And Video Processing For Practical Use

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Deep Learning In Action Image And Video Processing For Practical Use
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Author : Abdussalam Elhanashi
language : en
Publisher: Elsevier
Release Date : 2025-03-12
Deep Learning In Action Image And Video Processing For Practical Use written by Abdussalam Elhanashi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-12 with Computers categories.
Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative applications in an array of real-world settings. The general methodological contributions from AI, such as a variety of recently developed deep learning algorithms, have also been applied to a wide spectrum of fields such as surveillance applications, real-time processing, IoT devices, and health care systems. The state-of-the-art and deep learning models have wider applicability and are highly efficient. Deep Learning in Action: Image and Video Processing for Practical Use provides a comprehensive and accessible resource for both intermediate to advanced readers seeking to harness the power of deep learning in the domains of video and image processing. The book bridges the gap between theoretical concepts and practical implementation by emphasizing lightweight approaches, enabling readers to efficiently apply deep learning techniques to real-world scenarios. It focuses on resource-efficient methods, making it particularly relevant in contexts where computational constraints are a concern. - Provides step-by-step guidance on implementing deep learning techniques, specifically for video and image processing tasks in real-world scenarios - Emphasizes lightweight and efficient approaches to deep learning, ensuring that readers learn techniques that are suited to resource-constrained environments - Covers a wide range of real-world applications, such as object detection, image segmentation, video classification - Offers a comprehensive understanding of how deep learning can be leveraged across various domains - Encourages hands-on experience that can be applied to the concepts to existing projects
Practical Deep Learning For Cloud Mobile And Edge
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Author : Anirudh Koul
language : en
Publisher: O'Reilly Media
Release Date : 2019-10-14
Practical Deep Learning For Cloud Mobile And Edge written by Anirudh Koul and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Computers categories.
Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
Advanced Technology For Human Movement Rehabilitation And Enhancement
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Author : Longbin Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2025-04-08
Advanced Technology For Human Movement Rehabilitation And Enhancement written by Longbin Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Science categories.
In the dynamic landscape of human movement science, the convergence of cutting-edge technology with the intricacies of human physiology has ushered in a new era of transformative possibilities. This captivating research theme, encompassing the realms of neurorehabilitation, assistive robotics, human-machine interaction, and balance control, offers the exciting prospect of reshaping the boundaries of movement recovery. Translational research serves as the crucial conduit between scientific breakthroughs and tangible implementation, ensuring that the cutting-edge technologies birthed within laboratories seamlessly transition into real-world clinical applications. Neurorehabilitation delves into neuroplasticity, unraveling the brain's adaptability for recovery. Advanced imaging and neurophysiology guide interventions, enabling rewiring of neural pathways in individuals with neurological injuries. Assistive robotics fuse human potential with sophisticated devices, aiding recovery through tailored support. These allies enhance muscle activation, joint movement, and gait training, driving functional independence. Human-machine interaction deciphers neural signals, blurring lines between humans and technology. A seamless collaboration empowers individuals to guide and benefit from technological assistance. Investigating balance control strategies is crucial for designing assistive robotics that revolutionize rehabilitation and mobility. By understanding users' perspectives, we uncover the intricate link between human thinking, neuromuscular coordination, and balance maintenance. This insight informs the development of user-centered robotics, enhancing natural movement patterns and enabling effective rehabilitation, ultimately restoring stability and confidence in mobility.
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
Advances In Computer Vision From Deep Learning Models To Practical Applications
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Author : Hancheng Zhu
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-26
Advances In Computer Vision From Deep Learning Models To Practical Applications written by Hancheng Zhu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Science categories.
The field of computer vision has experienced remarkable progress in recent years, largely attributed to the unprecedented advancements in deep learning models and their practical applications across diverse domains. This research topic is dedicated to presenting and exploring the latest developments in computer vision, with a particular emphasis on the transition from theoretical deep learning models to their real-world applications. This research topic focuses on the practical application of deep learning models in computer vision, translating theoretical advancements into real-world solutions. It offers a platform to share success stories and case studies illustrating the effective deployment of such models in areas like medical imaging, remote sensing, and multimedia affective computing. Furthermore, with the importance of interpretability and transparency in deep learning models emphasized, these models become more complex and understanding their decision-making processes is crucial.
Emerging Technologies In Intelligent Applications For Image And Video Processing
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Author : Santhi, V.
language : en
Publisher: IGI Global
Release Date : 2016-01-07
Emerging Technologies In Intelligent Applications For Image And Video Processing written by Santhi, V. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-07 with Computers categories.
Image and Video Processing is an active area of research due to its potential applications for solving real-world problems. Integrating computational intelligence to analyze and interpret information from image and video technologies is an essential step to processing and applying multimedia data. Emerging Technologies in Intelligent Applications for Image and Video Processing presents the most current research relating to multimedia technologies including video and image restoration and enhancement as well as algorithms used for image and video compression, indexing and retrieval processes, and security concerns. Featuring insight from researchers from around the world, this publication is designed for use by engineers, IT specialists, researchers, and graduate level students.
Ethics And Ai Integration Into Modern Classrooms
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Author : Khaldi, Mohamed
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Ethics And Ai Integration Into Modern Classrooms written by Khaldi, Mohamed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Education categories.
The integration of artificial intelligence into modern classrooms presents new opportunities and ethical concerns. As AI technologies are adopted in education, they offer the potential to personalize learning experiences, enhance teaching methods, and improve administrative efficiency. However, the use of AI also raises important ethical questions related to privacy, data security, bias in algorithms, and the potential for unequal access to technology. Addressing these concerns ensures AI is implemented responsibly and equitably, fostering an educational environment that is inclusive, transparent, and aligned with the best interests of students and educators. Further research into AI in education may increase innovation and ethical accountability while safeguarding fundamental educational values. Ethics and AI Integration Into Modern Classrooms explores the integration of intelligent technologies into academic settings. It examines the impact of artificial intelligence, deep learning, and smart technology into modern classrooms, as well as the ethical implications of AI regarding equity, social issues, and accessibility. This book covers topics such as classroom management, ethics and law, and smart technology, and is a useful resource for educators, academicians, business owners, computer engineers, data scientists, and sociologists.
Proceedings Of The 2024 3rd International Conference On Information Economy Data Modelling And Cloud Computing Icidc 2024
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Author : Evan Poh Hock Lau
language : en
Publisher: Springer Nature
Release Date : 2024-08-30
Proceedings Of The 2024 3rd International Conference On Information Economy Data Modelling And Cloud Computing Icidc 2024 written by Evan Poh Hock Lau and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.
This is an open access book. ICIDC 2024 is to bring together innovative academics and industrial experts in the field of Information Economy, Data Modeling and Cloud Computing research to a common forum. The primary goal of the conference is to promote research and developmental activities in Information Economy, Data Modeling and Cloud Computing research and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Information Economy, Data Modeling and Cloud Computing research and related areas. 2024 3rd International Conference on Information Economy, Data Modeling and Cloud Computing (ICIDC 2024) is scheduled to be held in Dalian, China from June 21-23, 2024. Big data provides rich resources for modeling in the economic field. Through data modeling, we can obtain the dynamic change trend of various indicator data, analyze the relationship between elements in the process of related economic activities, and can reveal the relationship that is difficult to show by traditional technology; Therefore, how to use big data information to model and study the development trend of economic operation plan is of great significance. This conference will continue to focus on the application of big data in the economic field, and conduct more in-depth research in combination with cloud computing.
Ai And Multimodal Services Aims 2024
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Author : Xiuqin Pan
language : en
Publisher: Springer Nature
Release Date : 2024-11-15
Ai And Multimodal Services Aims 2024 written by Xiuqin Pan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
This book constitutes the refereed proceedings of the 13th International Conference on AI and Multimodal Services – AIMS 2024, AIMS 2024, Held as Part of the Services Conference Federation, SCF 2024, held in Bangkok, Thailand, during November 16-19, 2024. The 7 full papers and one short paper included in this book were carefully reviewed and selected from 16 submissions. They were organized in topical sections as follows: research track; application track; and short paper track.
Apple Production Technologies From Laboratory To Practical Applications
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Author : Zhao Zhang
language : en
Publisher: Springer Nature
Release Date : 2025-05-22
Apple Production Technologies From Laboratory To Practical Applications written by Zhao Zhang 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 Technology & Engineering categories.
This book comprehensively introduces innovative technologies for practical applications in apple production, which include, but not limited to autonomous thinning, Internet of Things, drones for pollination, disease detection and control, and growth stage detection. Conventional apple production is a labor-intensive industry, and many operations require labor, such as thinning, pollination, and harvest. Increasing labor cost and shrinking labor pool negatively affect the sustainability of apple industry. Meanwhile, recent technological progress in sensors and algorithms also impacted the apple industry. These developed technologies are gradually transferring from laboratory to practical applications to benefit apple production. This book provides undergraduates, M.S., and Ph.D. students in the area of smart agriculture, computer science, and mechanical engineering innovative robotics technologies for apple production.