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Challenges And Applications For Implementing Machine Learning In Computer Vision

Challenges and Applications for Implementing Machine Learning in Computer Vision PDF
Author: Kashyap, Ramgopal
Publisher: IGI Global
Release: 2019-10-04
ISBN: 1799801845
Size: 51.57 MB
Format: PDF
Category : Computers
Languages : en
Pages : 293
View: 2222

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Challenges And Applications For Implementing Machine Learning In Computer Vision

by Kashyap, Ramgopal, Challenges And Applications For Implementing Machine Learning In Computer Vision Books available in PDF, EPUB, Mobi Format. Download Challenges And Applications For Implementing Machine Learning In Computer Vision books, Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.



Computational Analysis And Deep Learning For Medical Care

Computational Analysis and Deep Learning for Medical Care PDF
Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
Release: 2021-08-24
ISBN: 1119785723
Size: 24.32 MB
Format: PDF
Category : Computers
Languages : en
Pages : 528
View: 4084

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Computational Analysis And Deep Learning For Medical Care

by Amit Kumar Tyagi, Computational Analysis And Deep Learning For Medical Care Books available in PDF, EPUB, Mobi Format. Download Computational Analysis And Deep Learning For Medical Care books, This book discuss how deep learning can help healthcare images or text data in making useful decisions”. For that, the need of reliable deep learning models like Neural networks, Convolutional neural network, Backpropagation, Recurrent neural network is increasing in medical image processing, i.e., in Colorization of Black and white images of X-Ray, automatic machine translation, object classification in photographs / images (CT-SCAN), character or useful generation (ECG), image caption generation, etc. Hence, Reliable Deep Learning methods for perception or producing belter results are highly effective for e-healthcare applications, which is the challenge of today. For that, this book provides some reliable deep leaning or deep neural networks models for healthcare applications via receiving chapters from around the world. In summary, this book will cover introduction, requirement, importance, issues and challenges, etc., faced in available current deep learning models (also include innovative deep learning algorithms/ models for curing disease in Medicare) and provide opportunities for several research communities with including several research gaps in deep learning models (for healthcare applications).



Machine Learning And Analytics In Healthcare Systems

Machine Learning and Analytics in Healthcare Systems PDF
Author: Himani Bansal
Publisher: CRC Press
Release: 2021-07-01
ISBN: 1000406199
Size: 78.99 MB
Format: PDF
Category : Technology & Engineering
Languages : en
Pages : 274
View: 433

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Machine Learning And Analytics In Healthcare Systems

by Himani Bansal, Machine Learning And Analytics In Healthcare Systems Books available in PDF, EPUB, Mobi Format. Download Machine Learning And Analytics In Healthcare Systems books, This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications.



Deep Learning In Computer Vision

Deep Learning in Computer Vision PDF
Author: Mahmoud Hassaballah
Publisher: CRC Press
Release: 2020-03-23
ISBN: 135100381X
Size: 21.52 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 322
View: 3842

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Deep Learning In Computer Vision

by Mahmoud Hassaballah, Deep Learning In Computer Vision Books available in PDF, EPUB, Mobi Format. Download Deep Learning In Computer Vision books, Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.



Hybrid Intelligent Systems

Hybrid Intelligent Systems PDF
Author: Ajith Abraham
Publisher: Springer Nature
Release: 2021
ISBN: 3030730506
Size: 34.85 MB
Format: PDF, Mobi
Category : Artificial intelligence
Languages : en
Pages : 817
View: 5997

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Hybrid Intelligent Systems

by Ajith Abraham, Hybrid Intelligent Systems Books available in PDF, EPUB, Mobi Format. Download Hybrid Intelligent Systems books, This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.



Proceedings Of The Second International Conference On Information Management And Machine Intelligence

Proceedings of the Second International Conference on Information Management and Machine Intelligence PDF
Author: Dinesh Goyal
Publisher: Springer Nature
Release: 2021-01-22
ISBN: 9811596891
Size: 80.72 MB
Format: PDF
Category : Technology & Engineering
Languages : en
Pages : 775
View: 234

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Proceedings Of The Second International Conference On Information Management And Machine Intelligence

by Dinesh Goyal, Proceedings Of The Second International Conference On Information Management And Machine Intelligence Books available in PDF, EPUB, Mobi Format. Download Proceedings Of The Second International Conference On Information Management And Machine Intelligence books, This book features selected papers presented at Second International Conference on International Conference on Information Management & Machine Intelligence (ICIMMI 2020) held at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India during 24 – 25 July 2020. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.



Ict For Competitive Strategies

ICT for Competitive Strategies PDF
Author: Durgesh Kumar Mishra
Publisher: CRC Press
Release: 2020-05-05
ISBN: 1000191273
Size: 49.78 MB
Format: PDF
Category : Computers
Languages : en
Pages : 940
View: 4991

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Ict For Competitive Strategies

by Durgesh Kumar Mishra, Ict For Competitive Strategies Books available in PDF, EPUB, Mobi Format. Download Ict For Competitive Strategies books, Fourth International Conference on Information and Communication Technology for Competitive Strategies targets state-of-the-art as well as emerging topics pertaining to information and communication technologies (ICTs) and effective strategies for its implementation for engineering and intelligent applications.



Deep Learning For Computer Vision

Deep Learning for Computer Vision PDF
Author: Rajalingappaa Shanmugamani
Publisher:
Release: 2018
ISBN: 9781523116751
Size: 65.66 MB
Format: PDF, ePub
Category : COMPUTERS
Languages : en
Pages :
View: 6386

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Deep Learning For Computer Vision

by Rajalingappaa Shanmugamani, Deep Learning For Computer Vision Books available in PDF, EPUB, Mobi Format. Download Deep Learning For Computer Vision books,



Deep Learning

Deep Learning PDF
Author: Siddhartha Bhattacharyya
Publisher: Walter de Gruyter GmbH & Co KG
Release: 2020-06-22
ISBN: 3110670925
Size: 16.42 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 161
View: 2875

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Deep Learning

by Siddhartha Bhattacharyya, Deep Learning Books available in PDF, EPUB, Mobi Format. Download Deep Learning books, This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immediately related fields, for example between air pressure recordings and English words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g. classification) and/or unsupervised (e.g. pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition.