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Machine Learning and AI Techniques in Interactive Medical Image Analysis
The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a c...
Augmented and Virtual Reality in Social Learning
This book focuses on the design, development, and analysis of augmented and virtual reality (AR/VR)-based systems, along with the technological impacts and challenges in social learning. Social Learning provides a comprehensive approach to researching methods in the emerging fields of AR/VR. The contributors of this book outline the state-of-the-art implementation of AR/VR for the Internet of Things, Blockchains, Big Data, and 5G within AR/VR systems.
Multidimensional Approach to Local Development and Poverty: Causes, Consequences, and Challenges Post COVID-19
The phenomenon of poverty, despite being aggravated by the COVID-19 pandemic, is recurrent and very harmful in peripheral countries. There seems to be no single solution, as each country faces its specificities, requiring an immersion into its causes and consequences. Multidimensional Approach to Local Development and Poverty: Causes, Consequences, and Challenges Post COVID-19 discusses the results of research conducted on the multivariate causes of hunger and poverty and how the pandemic has aggravated this problem, as well as the local development initiatives that have been implemented to mitigate the problem. Covering a range of topics such as sustainable development and public policy, this book is ideal for policymakers, government officials, practitioners, researchers, academicians, instructors, and students.
Artificial Intelligence-based Signal Processing for Brain Activity Analysis
Artificial Intelligence-based Signal Processing for Brain Activity Analysis is an indispensable resource for addressing the pressing challenges in medicine, detection of brain-related disorders, brain-computer interfacing, and neuromarketing. It delves into contemporary AI, ML, and signal processing approaches for analysis of brain activity. The salient features of this book include: (1) Acquisition, preprocessing, noise removal, and processing methods for brain signals, including EEG, ECoG, MEG, fMRI, and fNIRS. (2) Latest AI and ML algorithms relevant for classification of brain signals, including traditional machine learners, deep transfer learners, LSTM and auto-encoders, and transformer...
Future Role of Sustainable Innovative Technologies in Crisis Management
The increasing use of innovative technologies by global businesses has sparked debate about their application in crisis resolution. Resolution tools can be used by global businesses to manage various types of crisis situations, such as natural disasters, information security issues, economic downturns, health crisis situations, and sustainability issues in education, among others. Further study and consideration of the uses of technology in the areas of crisis and change management and intra-company communication practice in the context of global business must be done to ensure successful and sustainable businesses. Future Role of Sustainable Innovative Technologies in Crisis Management rais...
Advances in Smart Computing and Applications
This book constitutes the refereed proceedings of the 1st International Conference on Advances in Smart Computing and Applications, ICASCA 2025, held in Ahmedabad, India, during February 15–16, 2025. The 25 full papers were presented in this volume were carefully reviewed and selected from 112 submissions. They focus on Machine Learning, Deep Learning, Transfer Learning, Neural Computing, Artificial Intelligence, Reinforcement Learning, Recommendation systems, Soft computing, Intelligent Systems, Pattern Recognition, Natural Language Processing, Big Data Analytics, Networks, Text Mining, Web Mining, Data Streams, Image Processing, Distributed Databases, Block Chain.
Blockchain For Healthcare Data Management
This fascinating book delves into the transformative role that blockchain technology could play in the security and integrity of patient data within the healthcare sector. In an era where data breaches and privacy concerns loom large, blockchain has emerged as a potential solution to these challenges, offering a route to streamline healthcare processes, manage data and improve patient outcomes. The book begins by providing a comprehensive overview of its underlying principles, including decentralization, immutability and consensus mechanisms, before exploring, through a range of international cases studies, how blockchain has been applied so far within the healthcare sector, from the management of electronic health records (EHRs) and clinical trials to medical billing and supply chain management. The authors also explore the barriers to the wider adoption of blockchain, including financial investment and regulatory issues. The first book to focus solely on the potential of blockchain within the healthcare sector, it will appeal to international scholars, students and healthcare professionals interested in issues around patient confidentiality, data security and IT management.
Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems
The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as “high on promise and relatively low on data and proof.” If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of D...
Trends and Innovations in Urban E-Planning
The digital transformation of the 21st century has affected all facets of society and has been highly advantageous in many industries, including urban planning and regional development. The practices, strategies, and developments surrounding urban e-planning in particular have been constantly shifting and adapting to new innovations as they arrive. Trends and Innovations in Urban E-Planning provides an updated panorama of the main trends, challenges, and recent innovations in the field of e-planning through the critical perspectives of diverse experts. This book adds new and updated evidence on recent changes in this field and provides critical insights on these innovations. Covering topics such as citizen engagement, land property management, and spatial planning, this book is an essential resource for students and educators of higher education, researchers, urban planners, engineers, public officials, community groups, and academicians.
Advances in Explainable AI Applications for Smart Cities
As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for under...
