Handbook Of Research On Deep Learning Based Image Analysis Under Constrained And Unconstrained Environments

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Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments

Raj, Alex Noel Joseph,Mahesh, Vijayalakshmi G. V.,Nersisson, Ruban
Handbook of Research on Deep Learning Based Image Analysis Under Constrained and Unconstrained Environments Book PDF

Author : Raj, Alex Noel Joseph,Mahesh, Vijayalakshmi G. V.,Nersisson, Ruban
Publisher : IGI Global
Page : 381 pages
File Size : 46,7 Mb
Release : 2020-12-25
Category : Computers
ISBN : 9781799866923

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Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments by Raj, Alex Noel Joseph,Mahesh, Vijayalakshmi G. V.,Nersisson, Ruban Pdf

Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.

Deep Learning for Smart Healthcare

K. Murugeswari,B. Sundaravadivazhagan,S Poonkuntran,Thendral Puyalnithi
Deep Learning for Smart Healthcare Book PDF

Author : K. Murugeswari,B. Sundaravadivazhagan,S Poonkuntran,Thendral Puyalnithi
Publisher : CRC Press
Page : 309 pages
File Size : 42,8 Mb
Release : 2024-05-15
Category : Medical
ISBN : 9781040021378

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Deep Learning for Smart Healthcare by K. Murugeswari,B. Sundaravadivazhagan,S Poonkuntran,Thendral Puyalnithi Pdf

Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient’s medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process. Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.

Emerging Research in Computing, Information, Communication and Applications

N. R. Shetty,L. M. Patnaik,N. H. Prasad
Emerging Research in Computing Information Communication and Applications Book PDF

Author : N. R. Shetty,L. M. Patnaik,N. H. Prasad
Publisher : Springer Nature
Page : 1028 pages
File Size : 45,6 Mb
Release : 2022-12-12
Category : Technology & Engineering
ISBN : 9789811954825

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Emerging Research in Computing, Information, Communication and Applications by N. R. Shetty,L. M. Patnaik,N. H. Prasad Pdf

This book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators, and technologists to discuss, debate, and promote research and technology in the upcoming areas of computing, information, communication, and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.

Forecasting Cyber Crimes in the Age of the Metaverse

Elshenraki, Hossam Nabil
Forecasting Cyber Crimes in the Age of the Metaverse Book PDF

Author : Elshenraki, Hossam Nabil
Publisher : IGI Global
Page : 306 pages
File Size : 51,7 Mb
Release : 2023-11-27
Category : Computers
ISBN : 9798369302224

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Forecasting Cyber Crimes in the Age of the Metaverse by Elshenraki, Hossam Nabil Pdf

As the metaverse rapidly evolves, a comprehensive examination of the emerging threats and challenges is imperative. In the groundbreaking exploration within Forecasting Cyber Crimes in the Age of the Metaverse, the intersection of technology, crime, and law enforcement is investigated, and it provides valuable insights into the potential risks and strategies for combating cybercrimes in the metaverse. Drawing upon research and scientific methodologies, this book employs a forward-thinking approach to anticipate the types of crimes that may arise in the metaverse. It addresses various aspects of cybercrime, including crimes against children, financial fraud, ransomware attacks, and attacks on critical infrastructure. The analysis extends to the protection of intellectual property rights and the criminal methods employed against metaverse assets. By forecasting the future of cybercrimes and cyber warfare in the metaverse, this book equips law enforcement agencies, policymakers, and companies with essential knowledge to develop effective strategies and countermeasures. It explores the potential impact of cybercrime on police capabilities and provides valuable insights into the planning and preparedness required to mitigate these threats.

Advanced Machine Intelligence and Signal Processing

Deepak Gupta,Koj Sambyo,Mukesh Prasad,Sonali Agarwal
Advanced Machine Intelligence and Signal Processing Book PDF

Author : Deepak Gupta,Koj Sambyo,Mukesh Prasad,Sonali Agarwal
Publisher : Springer Nature
Page : 859 pages
File Size : 49,8 Mb
Release : 2022-06-25
Category : Technology & Engineering
ISBN : 9789811908408

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Advanced Machine Intelligence and Signal Processing by Deepak Gupta,Koj Sambyo,Mukesh Prasad,Sonali Agarwal Pdf

This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).

New Approaches to Data Analytics and Internet of Things Through Digital Twin

Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P.
New Approaches to Data Analytics and Internet of Things Through Digital Twin Book PDF

Author : Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P.
Publisher : IGI Global
Page : 326 pages
File Size : 42,9 Mb
Release : 2022-09-30
Category : Computers
ISBN : 9781668457245

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New Approaches to Data Analytics and Internet of Things Through Digital Twin by Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P. Pdf

Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Research Anthology on Medical Informatics in Breast and Cervical Cancer

Management Association, Information Resources
Research Anthology on Medical Informatics in Breast and Cervical Cancer Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 891 pages
File Size : 51,6 Mb
Release : 2022-07-01
Category : Medical
ISBN : 9781668471371

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Research Anthology on Medical Informatics in Breast and Cervical Cancer by Management Association, Information Resources Pdf

Cancer research is currently a vital field of study as it affects a wide range of the population either directly or indirectly. Breast and cervical cancer are two prevalent types that pose a threat to women’s health and wellness. Due to this, further research on the importance of medical informatics within this field is necessary to ensure patients receive the best possible attention and care. The Research Anthology on Medical Informatics in Breast and Cervical Cancer provides current research and information on how medical informatics are utilized within the field of breast and cervical cancer and considers the best practices and challenges of its implementation. Covering key topics such as women’s health, wellness, oncology, and patient care, this major reference work is ideal for medical professionals, nurses, oncologists, policymakers, researchers, academicians, scholars, practitioners, instructors, and students.

Machine Learning Applications in Non-Conventional Machining Processes

Bose, Goutam Kumar,Pain, Pritam
Machine Learning Applications in Non Conventional Machining Processes Book PDF

Author : Bose, Goutam Kumar,Pain, Pritam
Publisher : IGI Global
Page : 313 pages
File Size : 43,8 Mb
Release : 2021-02-05
Category : Computers
ISBN : 9781799836261

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Machine Learning Applications in Non-Conventional Machining Processes by Bose, Goutam Kumar,Pain, Pritam Pdf

Traditional machining has many limitations in today’s technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking. Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today’s technology-driven market.

Advanced Concepts, Methods, and Applications in Semantic Computing

Daramola, Olawande,Moser, Thomas
Advanced Concepts Methods and Applications in Semantic Computing Book PDF

Author : Daramola, Olawande,Moser, Thomas
Publisher : IGI Global
Page : 296 pages
File Size : 44,5 Mb
Release : 2020-12-18
Category : Computers
ISBN : 9781799866992

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Advanced Concepts, Methods, and Applications in Semantic Computing by Daramola, Olawande,Moser, Thomas Pdf

Semantic computing is critical for the development of semantic systems and applications that must utilize semantic analysis, semantic description, semantic interfaces, and semantic integration of data and services to deliver their objectives. Semantic computing has enormous capabilities to enhance the efficiency and throughput of systems that are based on key emerging concepts and technologies such as semantic web, internet of things, blockchain technology, and knowledge graphs. Thus, research that expounds advanced concepts, methods, technologies, and applications of semantic computing for solving challenges in real-world domains is vital. Advanced Concepts, Methods, and Applications in Semantic Computing is a scholarly reference book that provides a sound theoretical foundation for the application of semantic methods, concepts, and technologies for practical problem solving. It is designed as a comprehensive and reliable resource on how semantic-oriented approaches can be used to aid new emergent technologies and tackle real-world problems. Covering topics that include deep learning, machine learning, blockchain technology, and semantic web services, this book is ideal for professionals, academicians, researchers, and students working in the field of semantic computing in various disciplines, including but not limited to software engineering, systems engineering, knowledge engineering, electronic commerce, computer science, and information technology.

Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities

Catalán Pallarés, Sandra,Valero-Lara, Pedro,Toledo Díaz, Leonel Antonio,Carratalá Sáez, Rocío
Developing Linear Algebra Codes on Modern Processors Emerging Research and Opportunities Book PDF

Author : Catalán Pallarés, Sandra,Valero-Lara, Pedro,Toledo Díaz, Leonel Antonio,Carratalá Sáez, Rocío
Publisher : IGI Global
Page : 279 pages
File Size : 52,9 Mb
Release : 2022-10-14
Category : Mathematics
ISBN : 9781799870845

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Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities by Catalán Pallarés, Sandra,Valero-Lara, Pedro,Toledo Díaz, Leonel Antonio,Carratalá Sáez, Rocío Pdf

Optimized linear algebra (LA) libraries that are able to exploit the underlying hardware are always of interest in the high-performance computing community. The implementation of LA software has evolved along with computer architecture, while the specification remains unaltered almost from the beginning. It is important to differentiate between the specification of LA libraries and their implementation. Because LA libraries pursue high performance, the implementation for a given architecture needs to be optimized for it specifically. However, the type of operations included in the libraries, the input/output parameters, and the data types to be handled are common to all of them. This is why, while the specification remains constant, the implementation evolves with the creation of new architectures. Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities presents the main characteristics of LA libraries, showing the differences between the standards for sparse and dense versions. It further explores relevant linear algebra problems and shows, in a clear and understandable way, how to solve them using different computer architectures. Covering topics such as programming models, batched computing, and distributed memory platforms, this premier reference source is an excellent resource for programmers, computer scientists, engineers, students and faculty of higher education, librarians, researchers, and academicians.

Speech and Computer

S. R. Mahadeva Prasanna,Alexey Karpov,K. Samudravijaya,Shyam S. Agrawal
Speech and Computer Book PDF

Author : S. R. Mahadeva Prasanna,Alexey Karpov,K. Samudravijaya,Shyam S. Agrawal
Publisher : Springer Nature
Page : 737 pages
File Size : 49,7 Mb
Release : 2022-11-12
Category : Computers
ISBN : 9783031209802

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Speech and Computer by S. R. Mahadeva Prasanna,Alexey Karpov,K. Samudravijaya,Shyam S. Agrawal Pdf

This book constitutes the proceedings of the 24th International Conference on Speech and Computer, SPECOM 2022, held as a hybrid event in Gurugram, India, in November 2022. The 51 full and 9 short papers presented in this volume were carefully reviewed and selected from 99 submissions. The papers present current research in the area of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics, speech synthesis, sign language and multimodal processing, and speech and language resources.

Cases on Edge Computing and Analytics

Ambika, Paranthaman,Donald, A. Cecil,Kumar, A. Dalvin Vinoth
Cases on Edge Computing and Analytics Book PDF

Author : Ambika, Paranthaman,Donald, A. Cecil,Kumar, A. Dalvin Vinoth
Publisher : IGI Global
Page : 327 pages
File Size : 55,9 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799848745

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Cases on Edge Computing and Analytics by Ambika, Paranthaman,Donald, A. Cecil,Kumar, A. Dalvin Vinoth Pdf

Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing.

Deep Learning Applications in Image Analysis

Sanjiban Sekhar Roy,Ching-Hsien Hsu,Venkateshwara Kagita
Deep Learning Applications in Image Analysis Book PDF

Author : Sanjiban Sekhar Roy,Ching-Hsien Hsu,Venkateshwara Kagita
Publisher : Springer Nature
Page : 218 pages
File Size : 52,8 Mb
Release : 2023-07-08
Category : Technology & Engineering
ISBN : 9789819937844

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Deep Learning Applications in Image Analysis by Sanjiban Sekhar Roy,Ching-Hsien Hsu,Venkateshwara Kagita Pdf

This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and academia. This includes autoencoder and deep convolutional generative adversarial network in improving classification performance of Bangla handwritten characters, dealing with deep learning-based approaches using feature selection methods for automatic diagnosis of covid-19 disease from x-ray images, imbalance image data sets of classification, image captioning using deep transfer learning, developing a vehicle over speed detection system, creating an intelligent system for video-based proximity analysis, building a melanoma cancer detection system using deep learning, plant diseases classification using AlexNet, dealing with hyperspectral images using deep learning, chest x-ray image classification of pneumonia disease using efficient net and inceptionv3. The book also addresses the difficulty of implementing deep learning in terms of computation time and the complexity of reasoning and modelling different types of data where information is currently encoded. Each chapter has the application of various new or existing deep learning models such as Deep Neural Network (DNN) and Deep Convolutional Neural Networks (DCNN). The detailed utilization of deep learning packages that are available in MATLAB, Python and R programming environments have also been discussed, therefore, the readers will get to know about the practical implementation of deep learning as well. The content of this book is presented in a simple and lucid style for professionals, nonprofessionals, scientists, and students interested in the research area of deep learning applications in image analysis.

Deep Learning for Medical Image Analysis

S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Deep Learning for Medical Image Analysis Book PDF

Author : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Publisher : Academic Press
Page : 544 pages
File Size : 50,6 Mb
Release : 2023-12-01
Category : Computers
ISBN : 9780323858885

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Deep Learning for Medical Image Analysis by S. Kevin Zhou,Hayit Greenspan,Dinggang Shen Pdf

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis. · Covers common research problems in medical image analysis and their challenges · Describes the latest deep learning methods and the theories behind approaches for medical image analysis · Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache

Deep Learning in Object Detection and Recognition

Xiaoyue Jiang,Abdenour Hadid,Yanwei Pang,Eric Granger,Xiaoyi Feng
Deep Learning in Object Detection and Recognition Book PDF

Author : Xiaoyue Jiang,Abdenour Hadid,Yanwei Pang,Eric Granger,Xiaoyi Feng
Publisher : Springer
Page : 0 pages
File Size : 42,9 Mb
Release : 2020-11-27
Category : Computers
ISBN : 9811506515

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Deep Learning in Object Detection and Recognition by Xiaoyue Jiang,Abdenour Hadid,Yanwei Pang,Eric Granger,Xiaoyi Feng Pdf

This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks.