Artificial Intelligence-based Infrared Thermal Image Processing and its Applications

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Publisher : CRC Press
ISBN 13 : 1000688402
Total Pages : 247 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Artificial Intelligence-based Infrared Thermal Image Processing and its Applications by : U. Snekhalatha

Download or read book Artificial Intelligence-based Infrared Thermal Image Processing and its Applications written by U. Snekhalatha and published by CRC Press. This book was released on 2022-09-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Infrared thermography is a fast and non-invasive technology that provides a map of the temperature distribution on the body’s surface. This book provides a description of designing and developing a computer-assisted diagnosis (CAD) system based on thermography for diagnosing such common ailments as rheumatoid arthritis (RA), diabetes complications, and fever. It also introduces applications of machine-learning and deep-learning methods in the development of CAD systems. Key Features: Covers applications of various image processing techniques in thermal imaging applications for the diagnosis of different medical conditions Describes the development of a computer diagnostics system (CAD) based on thermographic data Discusses deep-learning models for accurate diagnosis of various diseases Includes new aspects in rheumatoid arthritis and diabetes research using advanced analytical tools Reviews application of feature fusion algorithms and feature reduction algorithms for accurate classification of images This book is aimed at researchers and graduate students in biomedical engineering, medicine, image processing, and CAD.

Infrared Thermography

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 9535102427
Total Pages : 250 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Infrared Thermography by : Raghu Prakash

Download or read book Infrared Thermography written by Raghu Prakash and published by BoD – Books on Demand. This book was released on 2012-03-14 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Infrared Thermography (IRT) is commonly as a NDE tool to identify damages and provide remedial action. The fields of application are vast, such as, materials science, life sciences and applied engineering. This book offers a collection of ten chapters with three major sections - relating to application of infrared thermography to study problems in materials science, agriculture, veterinary and sports fields as well as in engineering applications. Both mathematical modeling and experimental aspects of IRT are evenly discussed in this book. It is our sincere hope that the book meets the requirements of researchers in the domain and inspires more researchers to study IRT.

Artificial Intelligence over Infrared Images for Medical Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 3031445112
Total Pages : 154 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence over Infrared Images for Medical Applications by : Siva Teja Kakileti

Download or read book Artificial Intelligence over Infrared Images for Medical Applications written by Siva Teja Kakileti and published by Springer Nature. This book was released on 2023-09-28 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the ​Second Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2023 held in conjunction with MICCAI 2023, held in Vancouver, BC, Canada, on October 2, 2023. The 10 full papers presented in this book were carefully peer reviewed and selected from 15 submissions. The second workshop on AIIIMA, similarily to the first, aimes to create a forum to discuss the specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research, that has the potential to hugely impact our society, among the research community.

Trends and Advancements of Image Processing and Its Applications

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Publisher : Springer Nature
ISBN 13 : 3030759458
Total Pages : 306 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Trends and Advancements of Image Processing and Its Applications by : Prashant Johri

Download or read book Trends and Advancements of Image Processing and Its Applications written by Prashant Johri and published by Springer Nature. This book was released on 2021-11-13 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others. The authors include new concepts of color space transformation like color interpolation, among others. Also, the concept of Shearlet Transform and Wavelet Transform and their implementation are discussed. The authors include a perspective about concepts and techniques of remote sensing like image mining, geographical, and agricultural resources. The book also includes several applications of human organ biomedical image analysis. In addition, the principle of moving object detection and tracking — including recent trends in moving vehicles and ship detection – is described. Presents developments of current research in various areas of image processing; Includes applications of image processing in remote sensing, astronomy, and manufacturing; Pertains to researchers, academics, students, and practitioners in image processing.

Augmented Vision Perception in Infrared

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Publisher : Springer Science & Business Media
ISBN 13 : 1848002777
Total Pages : 476 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Augmented Vision Perception in Infrared by : Riad I. Hammoud

Download or read book Augmented Vision Perception in Infrared written by Riad I. Hammoud and published by Springer Science & Business Media. This book was released on 2009-01-01 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout much of machine vision’s early years the infrared imagery has suffered from return on investment despite its advantages over visual counterparts. Recently, the ?scal momentum has switched in favor of both manufacturers and practitioners of infrared technology as a result of today’s rising security and safety challenges and advances in thermographic sensors and their continuous drop in costs. This yielded a great impetus in achieving ever better performance in remote surveillance, object recognition, guidance, noncontact medical measurements, and more. The purpose of this book is to draw attention to recent successful efforts made on merging computer vision applications (nonmilitary only) and nonvisual imagery, as well as to ?ll in the need in the literature for an up-to-date convenient reference on machine vision and infrared technologies. Augmented Perception in Infrared provides a comprehensive review of recent deployment of infrared sensors in modern applications of computer vision, along with in-depth description of the world’s best machine vision algorithms and intel- gent analytics. Its topics encompass many disciplines of machine vision, including remote sensing, automatic target detection and recognition, background modeling and image segmentation, object tracking, face and facial expression recognition, - variant shape characterization, disparate sensors fusion, noncontact physiological measurements, night vision, and target classi?cation. Its application scope includes homeland security, public transportation, surveillance, medical, and military. Mo- over, this book emphasizes the merging of the aforementioned machine perception applications and nonvisual imaging in intensi?ed, near infrared, thermal infrared, laser, polarimetric, and hyperspectral bands.

Processing Medical Thermal Images

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Author :
Publisher : Springer
ISBN 13 : 3319613405
Total Pages : 145 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Processing Medical Thermal Images by : Robert Koprowski

Download or read book Processing Medical Thermal Images written by Robert Koprowski and published by Springer. This book was released on 2017-07-11 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents automatic and reproducible methods for the analysis of medical infrared images. All methods highlighted here have been practically implemented in Matlab, and the source code is presented and discussed in detail. Further, all methods have been verified with medical specialists, making the book an ideal resource for all IT specialists, bioengineers and physicians who wish to broaden their knowledge of tailored methods for medical infrared image analysis and processing.

Application of Infrared to Biomedical Sciences

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Publisher : Springer
ISBN 13 : 9811031479
Total Pages : 552 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Application of Infrared to Biomedical Sciences by : Eddie YK Ng

Download or read book Application of Infrared to Biomedical Sciences written by Eddie YK Ng and published by Springer. This book was released on 2017-03-23 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the latest updates in the application of infrared to biomedical sciences, a non-invasive, contactless, safe and easy approach imaging of skin and tissue temperatures. Its diagnostic procedure allows practitioners to identify the locations of abnormal chemical and blood vessel activity such as angiogenesis in body tissue. Its non-invasive approach works by applying the technology of the infrared camera and state-of-the-art software, where high-resolution digital infrared imaging technology benefits highly from enhanced image production, standardized image interpretation protocols, computerized comparison and storage, and sophisticated image enhancement and analysis. The book contains contributions from global prominent scientists in the area of infrared applications in biomedical studies. The target audience includes academics, practitioners, clinicians and students working in the area of infrared imaging in biomedicine.

Advanced Digital Image Processing and Its Applications in Big Data

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Publisher : CRC Press
ISBN 13 : 1000281310
Total Pages : 237 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Advanced Digital Image Processing and Its Applications in Big Data by : Ankur Dumka

Download or read book Advanced Digital Image Processing and Its Applications in Big Data written by Ankur Dumka and published by CRC Press. This book was released on 2020-12-09 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging. There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover: · Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis · New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices · Image compression standards that are needed to serve diverse applications · Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing · Both soft and hard computing approaches at great length in relation to major image processing tasks · The direction and development of current and future research in many areas of image processing · A comprehensive bibliography for additional research (integrated within the framework of the book) This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.

Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

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Author :
Publisher : Springer Nature
ISBN 13 : 3031196600
Total Pages : 201 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery by : Siva Teja Kakileti

Download or read book Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery written by Siva Teja Kakileti and published by Springer Nature. This book was released on 2022-11-19 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the ​First Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2022, and the First Workshop on Medical Image Assisted Biomarker Discovery, MIABID 2022, both held in conjunction with MICCAI 2022, Singapore, during September 18 and 22, 2022. For MIABID 2022, 7 papers from 10 submissions were accepted for publication. This workshop created a forum to discuss this specific sub-topic at MICCAI and promote this novel area of research among the research community that has the potential to hugely impact our society. For AIIIMA 2022, 10 papers from 15 submissions were accepted for publication. The first workshop on AIIIMA aimed to create a forum to discuss this specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research that has the potential to hugely impact our society, among the research community.

Image Processing and Communications

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Publisher : Springer Nature
ISBN 13 : 3030312542
Total Pages : 337 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Image Processing and Communications by : Michał Choraś

Download or read book Image Processing and Communications written by Michał Choraś and published by Springer Nature. This book was released on 2019-09-10 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a selection of high-quality peer-reviewed research papers on various aspects of computer science and networks. It not only discusses emerging applications of currently available solutions, but also outlines potential future techniques and lines of research in pattern recognition, image processing and communications. Given its scope, the book will be of considerable interest to researchers, students and practitioners alike. All papers gathered here were presented at the Image Processing and Communications Conference, held in Bydgoszcz, Poland on September 11–13, 2019.

Image Processing and Intelligent Computing Systems

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Publisher : CRC Press
ISBN 13 : 1000822958
Total Pages : 321 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Image Processing and Intelligent Computing Systems by : Prateek Singhal

Download or read book Image Processing and Intelligent Computing Systems written by Prateek Singhal and published by CRC Press. This book was released on 2023-01-17 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is presently a drastic growth in multimedia data. During the Covid-19 pandemic, we observed that images helped doctors immensely in the rapid detection of Covid-19 infection in patients. There are many critical applications in which images play a vital role. These applications use raw image data to extract some useful information about the world around us. The quick extraction of valuable information from raw images is one challenge that academicians and professionals face in the present day. This is where image processing comes into action. Image processing’s primary purpose is to get an enhanced image or extract some useful information from raw image data. Therefore, there is a major need for some technique or system that addresses this challenge. Intelligent Systems have emerged as a solution to address quick image information extraction. In simple words, an Intelligent System can be defined as a mathematical model that adapts itself to deal with a problem’s dynamicity. These systems learn how to act so an image can reach an objective. An Intelligent System helps accomplish various image-processing functions like enhancement, segmentation, reconstruction, object detection, and morphing. The advent of Intelligent Systems in the image-processing field has leveraged many critical applications for humankind. These critical applications include factory automation, biomedical imaging analysis, decision econometrics, as well as related challenges.

Applications of Hybrid Metaheuristic Algorithms for Image Processing

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Publisher : Springer Nature
ISBN 13 : 3030409775
Total Pages : 488 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Applications of Hybrid Metaheuristic Algorithms for Image Processing by : Diego Oliva

Download or read book Applications of Hybrid Metaheuristic Algorithms for Image Processing written by Diego Oliva and published by Springer Nature. This book was released on 2020-03-27 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.

Computer Vision in the Infrared Spectrum

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Publisher : Springer Nature
ISBN 13 : 3031018265
Total Pages : 128 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Computer Vision in the Infrared Spectrum by : Michael Teutsch

Download or read book Computer Vision in the Infrared Spectrum written by Michael Teutsch and published by Springer Nature. This book was released on 2022-06-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human visual perception is limited to the visual-optical spectrum. Machine vision is not. Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous systems and visually perceive the environment in a holistic way. Relevant scene content can be made visible especially in situations, where sensors of other modalities face issues like a visual-optical camera that needs a source of illumination. As a consequence, not only human mistakes can be avoided by increasing the level of automation, but also machine-induced errors can be reduced that, for example, could make a self-driving car crash into a pedestrian under difficult illumination conditions. Furthermore, multi-spectral sensor systems with infrared imagery as one modality are a rich source of information and can provably increase the robustness of many autonomous systems. Applications that can benefit from utilizing infrared imagery range from robotics to automotive and from biometrics to surveillance. In this book, we provide a brief yet concise introduction to the current state-of-the-art of computer vision and machine learning in the infrared spectrum. Based on various popular computer vision tasks such as image enhancement, object detection, or object tracking, we first motivate each task starting from established literature in the visual-optical spectrum. Then, we discuss the differences between processing images and videos in the visual-optical spectrum and the various infrared spectra. An overview of the current literature is provided together with an outlook for each task. Furthermore, available and annotated public datasets and common evaluation methods and metrics are presented. In a separate chapter, popular applications that can greatly benefit from the use of infrared imagery as a data source are presented and discussed. Among them are automatic target recognition, video surveillance, or biometrics including face recognition. Finally, we conclude with recommendations for well-fitting sensor setups and data processing algorithms for certain computer vision tasks. We address this book to prospective researchers and engineers new to the field but also to anyone who wants to get introduced to the challenges and the approaches of computer vision using infrared images or videos. Readers will be able to start their work directly after reading the book supported by a highly comprehensive backlog of recent and relevant literature as well as related infrared datasets including existing evaluation frameworks. Together with consistently decreasing costs for infrared cameras, new fields of application appear and make computer vision in the infrared spectrum a great opportunity to face nowadays scientific and engineering challenges.

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

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Publisher : CRC Press
ISBN 13 : 9780429354526
Total Pages : 196 pages
Book Rating : 4.3/5 (545 download)

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Book Synopsis Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing by : Rohit Raja

Download or read book Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing written by Rohit Raja and published by CRC Press. This book was released on 2020-12-22 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management. Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology. This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems. This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning. FEATURES Highlights the framework of robust and novel methods for medical image processing techniques Discusses implementation strategies and future research directions for the design and application requirements of medical imaging Examines real-time application needs Explores existing and emerging image challenges and opportunities in the medical field

Intelligent Systems and Applications in Computer Vision

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Publisher : CRC Press
ISBN 13 : 1000985865
Total Pages : 321 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Intelligent Systems and Applications in Computer Vision by : Nitin Mittal

Download or read book Intelligent Systems and Applications in Computer Vision written by Nitin Mittal and published by CRC Press. This book was released on 2023-11-02 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection. Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing. Covers deep learning algorithms in computer vision. Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing. Highlight optimization problems such as image segmentation and minimized feature design vector. Presents platform and simulation tools for image processing and segmentation. The book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images, and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking, steganography, morphological processing, and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.

Applications of Optimization and Machine Learning in Image Processing and IoT

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Publisher : CRC Press
ISBN 13 : 1000992993
Total Pages : 236 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Applications of Optimization and Machine Learning in Image Processing and IoT by : Nidhi Gupta

Download or read book Applications of Optimization and Machine Learning in Image Processing and IoT written by Nidhi Gupta and published by CRC Press. This book was released on 2023-12-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT. Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest research findings and solutions for optimization and machine learning algorithms. The chapters examine and discuss the fields of machine learning, IoT and image processing. KEY FEATURES: • Includes fundamental concepts towards advanced applications in machine learning and IoT. • Discusses potential and challenges of machine learning for IoT and optimization • Reviews recent advancements in diverse researches on computer vision, networking and optimization field. • Presents latest technologies such as machine learning in image processing and IoT This book has been written for readers in academia, engineering, IT specialists, researchers, industrial professionals and students, and is a great reference for those just starting out in the field as well as those at an advanced level.

Applications of Artificial Intelligence VII

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Publisher :
ISBN 13 :
Total Pages : 678 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Applications of Artificial Intelligence VII by : Mohan M. Trivedi

Download or read book Applications of Artificial Intelligence VII written by Mohan M. Trivedi and published by . This book was released on 1989 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: