Applied Computer Vision And Soft Computing With Interpretable Ai

Applied Computer Vision And Soft Computing With Interpretable Ai Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Applied Computer Vision And Soft Computing With Interpretable Ai book. This book definitely worth reading, it is an incredibly well-written.

Applied Computer Vision and Soft Computing with Interpretable AI

Swati V. Shinde,Darshan V. Medhane,Oscar Castillo
Applied Computer Vision and Soft Computing with Interpretable AI Book PDF

Author : Swati V. Shinde,Darshan V. Medhane,Oscar Castillo
Publisher : CRC Press
Page : 333 pages
File Size : 52,8 Mb
Release : 2023-10-05
Category : Computers
ISBN : 9781000952490

Get Book

Applied Computer Vision and Soft Computing with Interpretable AI by Swati V. Shinde,Darshan V. Medhane,Oscar Castillo Pdf

This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: Covers a variety of deep learning architectures useful for computer vision tasks Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem Addresses the different issues and further research opportunities in computer vision and soft computing Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain Considers recent real word problems and the prospective solutions to these problems This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.

Applied Computer Vision and Soft Computing with Interpretable AI

Swati V. Shinde,Darshan V. Medhane,Oscar Castillo
Applied Computer Vision and Soft Computing with Interpretable AI Book PDF

Author : Swati V. Shinde,Darshan V. Medhane,Oscar Castillo
Publisher : CRC Press
Page : 442 pages
File Size : 41,9 Mb
Release : 2023-10-12
Category : Computers
ISBN : 9781000952551

Get Book

Applied Computer Vision and Soft Computing with Interpretable AI by Swati V. Shinde,Darshan V. Medhane,Oscar Castillo Pdf

This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: ∙ Covers a variety of deep learning architectures useful for computer vision tasks. ∙ Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks. ∙ Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem. ∙ Addresses the different issues and further research opportunities in computer vision and soft computing. ∙ Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain. ∙ Considers recent real word problems and the prospective solutions to these problems. This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.

Low-Power Computer Vision

George K. Thiruvathukal,Yung-Hsiang Lu,Jaeyoun Kim,Yiran Chen,Bo Chen
Low Power Computer Vision Book PDF

Author : George K. Thiruvathukal,Yung-Hsiang Lu,Jaeyoun Kim,Yiran Chen,Bo Chen
Publisher : CRC Press
Page : 395 pages
File Size : 49,6 Mb
Release : 2022-02-22
Category : Computers
ISBN : 9781000540963

Get Book

Low-Power Computer Vision by George K. Thiruvathukal,Yung-Hsiang Lu,Jaeyoun Kim,Yiran Chen,Bo Chen Pdf

Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.

Advances in Soft Computing and Machine Learning in Image Processing

Aboul Ella Hassanien,Diego Alberto Oliva
Advances in Soft Computing and Machine Learning in Image Processing Book PDF

Author : Aboul Ella Hassanien,Diego Alberto Oliva
Publisher : Springer
Page : 718 pages
File Size : 52,6 Mb
Release : 2017-10-13
Category : Technology & Engineering
ISBN : 9783319637549

Get Book

Advances in Soft Computing and Machine Learning in Image Processing by Aboul Ella Hassanien,Diego Alberto Oliva Pdf

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Machine Intelligence

Pethuru Raj,P Beaulah Soundarabai,Peter Augustine
Machine Intelligence Book PDF

Author : Pethuru Raj,P Beaulah Soundarabai,Peter Augustine
Publisher : CRC Press
Page : 328 pages
File Size : 52,5 Mb
Release : 2023-10-03
Category : Computers
ISBN : 9781000960341

Get Book

Machine Intelligence by Pethuru Raj,P Beaulah Soundarabai,Peter Augustine Pdf

Machines are being systematically empowered to be interactive and intelligent in their operations, offerings. and outputs. There are pioneering Artificial Intelligence (AI) technologies and tools. Machine and Deep Learning (ML/DL) algorithms, along with their enabling frameworks, libraries, and specialized accelerators, find particularly useful applications in computer and machine vision, human machine interfaces (HMIs), and intelligent machines. Machines that can see and perceive can bring forth deeper and decisive acceleration, automation, and augmentation capabilities to businesses as well as people in their everyday assignments. Machine vision is becoming a reality because of advancements in the computer vision and device instrumentation spaces. Machines are increasingly software-defined. That is, vision-enabling software and hardware modules are being embedded in new-generation machines to be self-, surroundings, and situation-aware. Machine Intelligence emphasizes computer vision and natural language processing as drivers of advances in machine intelligence. The book examines these technologies from the algorithmic level to the applications level. It also examines the integrative technologies enabling intelligent applications in business and industry. Features: Motion images object detection over voice using deep learning algorithms Ubiquitous computing and augmented reality in HCI Learning and reasoning in Artificial Intelligence Economic sustainability, mindfulness, and diversity in the age of artificial intelligence and machine learning Streaming analytics for healthcare and retail domains Covering established and emerging technologies in machine vision, the book focuses on recent and novel applications and discusses state-of-the-art technologies and tools.

Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches

Chiranji Lal Chowdhary,Mamoun Alazab,Ankit Chaudhary,Saqib Hakak,Thippa Reddy Gadekallu
Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches Book PDF

Author : Chiranji Lal Chowdhary,Mamoun Alazab,Ankit Chaudhary,Saqib Hakak,Thippa Reddy Gadekallu
Publisher : Computing and Networks
Page : 504 pages
File Size : 47,9 Mb
Release : 2021-11
Category : Computers
ISBN : 1839533234

Get Book

Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches by Chiranji Lal Chowdhary,Mamoun Alazab,Ankit Chaudhary,Saqib Hakak,Thippa Reddy Gadekallu Pdf

Written by a team of International experts, this edited book covers state-of-the-art research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real-world applications. The book will be useful for industry and academic researchers, scientists and engineers.

A Guide to Convolutional Neural Networks for Computer Vision

Salman Khan,Hossein Rahmani,Syed Afaq Ali Shah,Mohammed Bennamoun
A Guide to Convolutional Neural Networks for Computer Vision Book PDF

Author : Salman Khan,Hossein Rahmani,Syed Afaq Ali Shah,Mohammed Bennamoun
Publisher : Morgan & Claypool Publishers
Page : 303 pages
File Size : 46,8 Mb
Release : 2018-02-13
Category : Computers
ISBN : 9781681732824

Get Book

A Guide to Convolutional Neural Networks for Computer Vision by Salman Khan,Hossein Rahmani,Syed Afaq Ali Shah,Mohammed Bennamoun Pdf

Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these applications, and recent developments in Convolutional Neural Networks (CNNs) have led to outstanding performance in these state-of-the-art visual recognition tasks and systems. As a result, CNNs now form the crux of deep learning algorithms in computer vision. This self-contained guide will benefit those who seek to both understand the theory behind CNNs and to gain hands-on experience on the application of CNNs in computer vision. It provides a comprehensive introduction to CNNs starting with the essential concepts behind neural networks: training, regularization, and optimization of CNNs. The book also discusses a wide range of loss functions, network layers, and popular CNN architectures, reviews the different techniques for the evaluation of CNNs, and presents some popular CNN tools and libraries that are commonly used in computer vision. Further, this text describes and discusses case studies that are related to the application of CNN in computer vision, including image classification, object detection, semantic segmentation, scene understanding, and image generation. This book is ideal for undergraduate and graduate students, as no prior background knowledge in the field is required to follow the material, as well as new researchers, developers, engineers, and practitioners who are interested in gaining a quick understanding of CNN models.

Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies

Sarfraz, Muhammad
Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies Book PDF

Author : Sarfraz, Muhammad
Publisher : IGI Global
Page : 324 pages
File Size : 45,5 Mb
Release : 2020-05-29
Category : Computers
ISBN : 9781799844457

Get Book

Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies by Sarfraz, Muhammad Pdf

Two significant areas of study that are continually impacting various dimensions in computer science are computer vision and imaging. These technologies are rapidly enhancing how information and data is being exchanged and opening numerous avenues of advancement within areas such as multimedia and intelligent systems. The high level of applicability in computer vision and image processing requires significant research on the specific utilizations of these technologies. Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies is an essential reference source that discusses innovative developments in computational imaging for solving real-life issues and problems and addresses their execution in various disciplines. Featuring research on topics such as image modeling, remote sensing, and support vector machines, this book is ideally designed for IT specialists, scientists, researchers, engineers, developers, practitioners, industry professionals, academicians, and students seeking coverage on the latest developments and innovations in computer vision applications within the realm of multimedia systems.

Building Computer Vision Applications Using Artificial Neural Networks

Shamshad Ansari
Building Computer Vision Applications Using Artificial Neural Networks Book PDF

Author : Shamshad Ansari
Publisher : Apress
Page : 451 pages
File Size : 53,8 Mb
Release : 2020-07-17
Category : Computers
ISBN : 148425886X

Get Book

Building Computer Vision Applications Using Artificial Neural Networks by Shamshad Ansari Pdf

Apply computer vision and machine learning concepts in developing business and industrial applications ​using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code examples. Section 1 covers the basics of image and video processing with code examples of how to manipulate and extract useful information from the images. You will mainly use OpenCV with Python to work with examples in this section. Section 2 describes machine learning and neural network concepts as applied to computer vision. You will learn different algorithms of the neural network, such as convolutional neural network (CNN), region-based convolutional neural network (R-CNN), and YOLO. In this section, you will also learn how to train, tune, and manage neural networks for computer vision. Section 3 provides step-by-step examples of developing business and industrial applications, such as facial recognition in video surveillance and surface defect detection in manufacturing. The final section is about training neural networks involving a large number of images on cloud infrastructure, such as Amazon AWS, Google Cloud Platform, and Microsoft Azure. It walks you through the process of training distributed neural networks for computer vision on GPU-based cloud infrastructure. By the time you finish reading Building Computer Vision Applications Using Artificial Neural Networks and working through the code examples, you will have developed some real-world use cases of computer vision with deep learning. What You Will Learn · Employ image processing, manipulation, and feature extraction techniques · Work with various deep learning algorithms for computer vision · Train, manage, and tune hyperparameters of CNNs and object detection models, such as R-CNN, SSD, and YOLO · Build neural network models using Keras and TensorFlow · Discover best practices when implementing computer vision applications in business and industry · Train distributed models on GPU-based cloud infrastructure Who This Book Is For Data scientists, analysts, and machine learning and software engineering professionals with Python programming knowledge.

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)

Aboul-Ella Hassanien,Ahmad Taher Azar,Tarek Gaber,Diego Oliva,Fahmy M. Tolba
Proceedings of the International Conference on Artificial Intelligence and Computer Vision AICV2020 Book PDF

Author : Aboul-Ella Hassanien,Ahmad Taher Azar,Tarek Gaber,Diego Oliva,Fahmy M. Tolba
Publisher : Springer Nature
Page : 880 pages
File Size : 49,7 Mb
Release : 2020-03-23
Category : Technology & Engineering
ISBN : 9783030442897

Get Book

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) by Aboul-Ella Hassanien,Ahmad Taher Azar,Tarek Gaber,Diego Oliva,Fahmy M. Tolba Pdf

This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.

Interpretable Artificial Intelligence: A Perspective of Granular Computing

Witold Pedrycz,Shyi-Ming Chen
Interpretable Artificial Intelligence A Perspective of Granular Computing Book PDF

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer Nature
Page : 430 pages
File Size : 52,7 Mb
Release : 2021-03-26
Category : Technology & Engineering
ISBN : 9783030649494

Get Book

Interpretable Artificial Intelligence: A Perspective of Granular Computing by Witold Pedrycz,Shyi-Ming Chen Pdf

This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.

Computer Vision and Recognition Systems

Chiranji Lal Chowdhary,G. Thippa Reddy,B. D. Parameshachari
Computer Vision and Recognition Systems Book PDF

Author : Chiranji Lal Chowdhary,G. Thippa Reddy,B. D. Parameshachari
Publisher : CRC Press
Page : 285 pages
File Size : 46,7 Mb
Release : 2022-03-10
Category : Science
ISBN : 9781000401028

Get Book

Computer Vision and Recognition Systems by Chiranji Lal Chowdhary,G. Thippa Reddy,B. D. Parameshachari Pdf

This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book explains the essential modules that are necessary for comprehending artificial intelligence experiences to provide machines with the power of vision. The volume also presents innovative research developments, applications, and current trends in the field. The chapters cover such topics as visual quality improvement, Parkinson’s disease diagnosis, hypertensive retinopathy detection through retinal fundus, big image data processing, N-grams for image classification, medical brain images, chatbot applications, credit score improvisation, vision-based vehicle lane detection, damaged vehicle parts recognition, partial image encryption of medical images, and image synthesis. The chapter authors show different approaches to computer vision, image processing, and frameworks for machine learning to build automated and stable applications. Deep learning is included for making immersive application-based systems, pattern recognition, and biometric systems. The book also considers efficiency and comparison at various levels of using algorithms for real-time applications, processes, and analysis.

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies

Sarfraz, Muhammad
Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies Book PDF

Author : Sarfraz, Muhammad
Publisher : IGI Global
Page : 312 pages
File Size : 54,9 Mb
Release : 2014-04-30
Category : Computers
ISBN : 9781466660311

Get Book

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies by Sarfraz, Muhammad Pdf

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Investigations in Pattern Recognition and Computer Vision for Industry 4.0

Chowdhary, Chiranji Lal,Swain, Basanta Kumar,Kumar, Vijay
Investigations in Pattern Recognition and Computer Vision for Industry 4 0 Book PDF

Author : Chowdhary, Chiranji Lal,Swain, Basanta Kumar,Kumar, Vijay
Publisher : IGI Global
Page : 293 pages
File Size : 50,5 Mb
Release : 2023-09-07
Category : Computers
ISBN : 9781668486030

Get Book

Investigations in Pattern Recognition and Computer Vision for Industry 4.0 by Chowdhary, Chiranji Lal,Swain, Basanta Kumar,Kumar, Vijay Pdf

The approaches to computer vision have undergone a long journey in recent years, but still, innovations are continuing with leverage increases in computing power, new data availability, and new ways to leverage machine-learning algorithms. As a branch of artificial intelligence (AI), computer vision brings meaningful information from images and videos. Such innovations help communicators to run better campaigns, amplify messages further, and stand out in a noisy, crowded marketplace. Investigations in Pattern Recognition and Computer Vision for Industry 4.0 provides a holistic discussion of the new practical applications and use cases of computer vision and communications. Covering topics such as social media filters, mobile computer vision, and AI-powered image editing, this book is ideal for academicians, researchers, postgraduate students, professional data analysts, research and development centers, organizations dealing with healthcare informatics, and IT firms.

Granular Video Computing

Debarati B Chakraborty,Sankar K. Pal
Granular Video Computing Book PDF

Author : Debarati B Chakraborty,Sankar K. Pal
Publisher : World Scientific Publishing Company
Page : 0 pages
File Size : 50,7 Mb
Release : 2021
Category : Automatic tracking
ISBN : 981122711X

Get Book

Granular Video Computing by Debarati B Chakraborty,Sankar K. Pal Pdf

This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as object tracking from videos in constrained situations, occlusion/overlapping handling, measuring of the reliability of tracking methods, object recognition and linguistic interpretation in video scenes, and event prediction from videos, are the addressed in this volume. The book also looks at ways to reduce data dependency in the context of unsupervised (without manual interaction/ labeled data/ prior information) training.This book may be used both as a textbook and reference book for graduate students and researchers in computer science, electrical engineering, system science, data science, and information technology, and is recommended for both students and practitioners working in computer vision, machine learning, video analytics, image analytics, artificial intelligence, system design, rough set theory, granular computing, and soft computing.