This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric...
This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessi...
Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emerging trends and the future scope of genomics. This book provides comprehensive coverage of machine learning applications such as DNN, CNN, and RNN, for predicting the sequence of DNA and RNA binding proteins, expression of the gene, and splicing control. In addition, the book addresses the effect of multiomics data analysis of cancers using tensor decomposition, machine learning techniques for protein engineering, CNN applications...
Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand ...
The book examines the current state of mHealth and Human-Centered Design (HCD) initiatives toward health, care, and well-being. The present surge in interest in improving people's quality of life is creating new prospects for the development of innovative design solutions aimed at enhancing living conditions. The combination of emerging user needs and opportunities provided by recent innovative mHealth technologies enables research institutions, stakeholders, and academia to design new solutions to promote well-being, health, and care, thereby improving the quality of life of people of all...
The book examines the current state of mHealth and Human-Centered Design (HCD) initiatives toward health, care, and well-being. The present surge i...
This book presents applications and solutions of Big Data in the GovTech system and recommendations for regulating the institutions of the digital economy and information society for the wide application of Big Data with the use of the institutional approach. In this book, a systematic scientific understanding of GovTech is formed, the central place of Big Data in this system is substantiated, and modern experience in the functioning and development of this system is considered in detail. The contribution of the book to the literature is to bridge the gap between theory and practice of...
This book presents applications and solutions of Big Data in the GovTech system and recommendations for regulating the institutions of the digital ...
This book presents a collection of state-of-the-art artificial intelligence and big data analytics approaches to cybersecurity intelligence. It illustrates the latest trends in AI/ML-based strategic defense mechanisms against malware, vulnerabilities, cyber threats, as well as proactive countermeasures. It also introduces other trending technologies, such as blockchain, SDN, and IoT, and discusses their possible impact on improving security.
The book discusses the convergence of AI/ML and big data in cybersecurity by providing an overview of theoretical, practical, and simulation...
This book presents a collection of state-of-the-art artificial intelligence and big data analytics approaches to cybersecurity intelligence. It ill...
This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value.
Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and...
This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, ...
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...
This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms t...
The book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls of current tools and techniques used and generating the blueprint of the new technologies. The topics covered in the book range from theoretical and foundational research, platforms, methods,...
The book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing a...
This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data...
This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking ...
The volume presents research works on developing Artificial Intelligence based algorithms and methodologies for making social good that too to a notable one. The book discusses latest findings on efficient technological solutions of e-governance and other areas of life from the leading researchers in the field. The prime focus is on solving socio-economic technical problems using state-of-the-art research findings like fuzzy computing, evolutionary and hybrid frameworks, neuro computing, etc., along with other AI based computation platforms. The topics covered include solution frameworks...
The volume presents research works on developing Artificial Intelligence based algorithms and methodologies for making social good that too to a notab...
