New Trends in Computational Vision and Bio-inspired Computing

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Publisher : Springer Nature
ISBN 13 : 3030418626
Total Pages : 1664 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis New Trends in Computational Vision and Bio-inspired Computing by : S. Smys

Download or read book New Trends in Computational Vision and Bio-inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2020-09-27 with total page 1664 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics. In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.

Computational Vision and Bio-Inspired Computing

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Publisher : Springer Nature
ISBN 13 : 9811998191
Total Pages : 819 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2023-04-07 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems.

Computational Vision and Bio-Inspired Computing

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Publisher : Springer Nature
ISBN 13 : 9813368624
Total Pages : 871 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2021-06-14 with total page 871 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Computational Vision and Bio-Inspired Computing

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Publisher : Springer Nature
ISBN 13 : 3030372189
Total Pages : 1435 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2020-01-06 with total page 1435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Computational Vision and Bio Inspired Computing

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Author :
Publisher : Springer
ISBN 13 : 3319717677
Total Pages : 1143 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Computational Vision and Bio Inspired Computing by : D. Jude Hemanth

Download or read book Computational Vision and Bio Inspired Computing written by D. Jude Hemanth and published by Springer. This book was released on 2018-02-19 with total page 1143 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS Technical Campus, September 21-22, 2017. It includes papers on state of the art innovations in bio-inspired computing applications, where new algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks and biocomputing. It focuses mainly on research based on visual interference on the basis of biological images. Computation of data sources also plays a major role in routine day-to-day life for the purposes such as video transmission, wireless applications, fingerprint recognition and processing, big data intelligence, automation, human centric recognition systems. With the advantage of processing bio-inspired computations, a variety of computational paradigms can be processed. Finally, this book also treats the formation of neural networks by enabling local connectivity within it with the aid of vision sensing elements. The work also provides potential directions for future research.

Computational Vision and Bio-Inspired Computing

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Publisher :
ISBN 13 : 9789811695742
Total Pages : 0 pages
Book Rating : 4.6/5 (957 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25-26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human-computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Computational Vision and Bio-Inspired Computing

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Publisher :
ISBN 13 : 9789813368637
Total Pages : 0 pages
Book Rating : 4.3/5 (686 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human-computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Biologically Inspired Computer Vision

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 3527680497
Total Pages : 480 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Biologically Inspired Computer Vision by : Gabriel Cristobal

Download or read book Biologically Inspired Computer Vision written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2015-08-31 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.

Innovative Data Communication Technologies and Application

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Publisher : Springer Nature
ISBN 13 : 9811671672
Total Pages : 1033 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Innovative Data Communication Technologies and Application by : Jennifer S. Raj

Download or read book Innovative Data Communication Technologies and Application written by Jennifer S. Raj and published by Springer Nature. This book was released on 2022-02-24 with total page 1033 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research in the fields of computational intelligence, ubiquitous computing models, communication intelligence, communication security, machine learning, informatics, mobile computing, cloud computing, and big data analytics. The best selected papers, presented at the International Conference on Innovative Data Communication Technologies and Application (ICIDCA 2021), are included in the book. The book focuses on the theory, design, analysis, implementation, and application of distributed systems and networks.

Bio-Inspired Computing for Image and Video Processing

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Publisher : CRC Press
ISBN 13 : 1498765939
Total Pages : 404 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Bio-Inspired Computing for Image and Video Processing by : D. P. Acharjya

Download or read book Bio-Inspired Computing for Image and Video Processing written by D. P. Acharjya and published by CRC Press. This book was released on 2018-01-02 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning, as opposed to traditional artificial intelligence (AI) and what could be described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up, de-centralized approach that often involves the method of specifying a set of simple rules, a set of simple organisms which adhere to those rules, and of iteratively applying those rules. Bio-Inspired Computing for Image and Video Processing covers interesting and challenging new theories in image and video processing. It addresses the growing demand for image and video processing in diverse application areas, such as secured biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, and more. This book is perfect for students following this topic at both undergraduate and postgraduate level. It will also prove indispensable to researchers who have an interest in image processing using bio-inspired computing.

Bio Inspired Computing

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Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Bio Inspired Computing by : Fouad Sabry

Download or read book Bio Inspired Computing written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-22 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Bio Inspired Computing The subject of research known as bio-inspired computing, which is short for biologically inspired computing, is one that focuses on finding solutions to issues in computer science by employing biological models. Connectionism, emergent behavior, and emergence are all related to this concept. Within the field of computer science, artificial intelligence and machine learning are related to the concept of bio-inspired computing. The field of natural computation includes a significant subfield known as bio-inspired computing. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Bio-inspired computing Chapter 2: Connectionism Chapter 3: Evolutionary computation Chapter 4: Computational neuroscience Chapter 5: Neuromorphic engineering Chapter 6: Cognitive architecture Chapter 7: Neural network Chapter 8: Artificial brain Chapter 9: Computational neurogenetic modeling Chapter 10: Spiking neural network (II) Answering the public top questions about bio inspired computing. (III) Real world examples for the usage of bio inspired computing in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of bio inspired computing. What Is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.

New Insights into Glioblastoma

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Publisher : Elsevier
ISBN 13 : 0323999425
Total Pages : 788 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis New Insights into Glioblastoma by : Carla Vitorino

Download or read book New Insights into Glioblastoma written by Carla Vitorino and published by Elsevier. This book was released on 2023-05-17 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: New Insights into Glioblastoma: Diagnosis, Therapeutics and Theranostics provides a compendium of recent diagnostic and therapeutic advances in GBM, encompassing a pipeline of compounds and (bio) nanotechnology strategies that have stood out with potential increased antitumoral activity and capability to cross the blood-brain barrier. Issues and challenges related to their translation into the clinical practice and their contribution to the increase in survival rates and well-being of patients are addressed. This is a valuable resource for graduate students, oncologists, cancer researchers and members of the biomedical field who need to learn more on recent developments on the management of glioblastoma. The book is split in three parts: Diagnosis, focusing on biomarkers and techniques such PET/MRI, infrared thermography, and deep neural networks; Therapeutics, discussing new chemical entities, as natural products and repurposed drugs, and new formulation approaches, as nanotechnology-based and microRNA approaches; and Theranostics, explaining the role of omics, system-based approaches, and glioblastoma microenvironment. Provides guidance towards recent advances of new chemical entities and delivery strategies targeted to glioblastoma Includes overviews to help readers apply information in their research Encompasses summarizing diagrams and real-world examples to facilitate comprehension and enhance the applicability of the content

Data Science for COVID-19 Volume 1

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Publisher : Academic Press
ISBN 13 : 0128245379
Total Pages : 754 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Data Science for COVID-19 Volume 1 by : Utku Kose

Download or read book Data Science for COVID-19 Volume 1 written by Utku Kose and published by Academic Press. This book was released on 2021-05-20 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions

Reinforcement Learning - Principles, Concepts and Applications

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Publisher : MileStone Research Publications
ISBN 13 : 9360130087
Total Pages : 144 pages
Book Rating : 4.3/5 (61 download)

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Book Synopsis Reinforcement Learning - Principles, Concepts and Applications by : Bhavatarini N

Download or read book Reinforcement Learning - Principles, Concepts and Applications written by Bhavatarini N and published by MileStone Research Publications. This book was released on 2024-03-25 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning (RL) is a subfield of machine learning that deals with how an agent should learn to take actions in an environment to maximize some notion of cumulative reward. In other words, reinforcement learning is a learning paradigm where an agent learns to interact with an environment by taking actions and observing the feedback it receives in the form of rewards or penalties. It is a feedback-based Machine learning technique in which an agent learns to behave in an environment by performing the actions and seeing the results of actions. For each good action, the agent gets positive feedback, and for each bad action, the agent gets negative feedback or penalty.

Pattern Recognition. ICPR International Workshops and Challenges

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Publisher : Springer Nature
ISBN 13 : 3030687961
Total Pages : 767 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Pattern Recognition. ICPR International Workshops and Challenges by : Alberto Del Bimbo

Download or read book Pattern Recognition. ICPR International Workshops and Challenges written by Alberto Del Bimbo and published by Springer Nature. This book was released on 2021-02-20 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.

Bio-inspired Neurocomputing

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Publisher : Springer Nature
ISBN 13 : 9811554951
Total Pages : 427 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Bio-inspired Neurocomputing by : Akash Kumar Bhoi

Download or read book Bio-inspired Neurocomputing written by Akash Kumar Bhoi and published by Springer Nature. This book was released on 2020-07-21 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.

Computer Vision and Recognition Systems

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Publisher : CRC Press
ISBN 13 : 1000400778
Total Pages : 272 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Computer Vision and Recognition Systems by : Chiranji Lal Chowdhary

Download or read book Computer Vision and Recognition Systems written by Chiranji Lal Chowdhary and published by CRC Press. This book was released on 2022-03-10 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.