Neha Sharma - Böcker

In this issue of Child and Adolescent Psychiatric Clinics, guest editors Drs. Aditi Hajirnis, Neha Sharma, and Rohit Chandra bring their considerable expertise to the topic of Clinical Considerations for Development of Boys and Mental Health Outcomes. Top experts discuss the influence of various factors on boys’ development and mental health. In this issue, top experts share knowledge that can aid in providing effective support for boys to help improve their mental health outcomes.

In this issue of Oral and Maxillofacial Surgery Clinics, guest editors Drs. Neha Sharma and Florian M. Thieringer bring their considerable expertise to the topic of Advancements in Personalized Digital Oral Surgery. Top experts in the field discuss technologies such as CAD/CAM, 3D printing, robotic surgery, virtual reality, and artificial intelligence, as well as clinical areas such as the temporomandibular joint, the orbit, implants, mandibular and maxillary reconstruction, and orthognathics.

The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence is also included.Features:•Introduces Intelligent IoT as applicable to the key areas of smart healthcare.•Discusses computational intelligence and IoT-based optimizations of smart healthcare systems•Explores effective management of healthcare systems using dedicated IoT-based infrastructures•Includes dedicated chapters on securing patient’s confidential data •Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approachesThis book is aimed at researchers, professionals, and graduate students in intelligent systems, big data, cloud computing, information security, and healthcare systems.

The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence is also included.Features:•Introduces Intelligent IoT as applicable to the key areas of smart healthcare.•Discusses computational intelligence and IoT-based optimizations of smart healthcare systems•Explores effective management of healthcare systems using dedicated IoT-based infrastructures•Includes dedicated chapters on securing patient’s confidential data •Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approachesThis book is aimed at researchers, professionals, and graduate students in intelligent systems, big data, cloud computing, information security, and healthcare systems.

Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients’ privacy and data security including data breaches in healthcare organizations, unauthorized access to patients’ information, and medical identity theft. It explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to developing artifiicial intelligence (AI)-based security mechanisms which can gather or share data across several healthcare applications securely and privately. Features: Combines multiple technologies (i.e., Internet of Things [IoT], Federated Computing, and AI) for managing and securing smart healthcare systems. Includes state-of-the-art machine learning, deep learning techniques for predictive analysis, and fog and edge computing-based real-time health monitoring. Covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches. Focuses on latest research on privacy, security, and threat detection on COVID-19 through IoT. Illustrates initiatives for research in smart computing for advanced healthcare management systems.This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering.

Information and communication technology and the Internet of Things play key roles in smart city projects. It is challenging to handle the large amount of data generated by the different processes related to land use, the environment, the social and economic milieu, energy consumption, and transportation. This book emphasizes that green computing-based infrastructure initiatives benefit not only the environment but the enterprise as well.Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective covers the need for smart green computing from various engineering disciplines and offers diversified applications for such computing with cases studies. The book highlights the sustainable development of smart cities using recent technology and emphasizes advances and cutting-edge techniques throughout. Focused on the different tools, platforms, and techniques associated with smart green computing, this book presents multiple perspectives from academia, industry, and research fields.The primary audience for this book includes academics, researchers, graduate students, smart city industry practitioners, and city administrators who are engaged in smart cities and related technology.

Information and communication technology and the Internet of Things play key roles in smart city projects. It is challenging to handle the large amount of data generated by the different processes related to land use, the environment, the social and economic milieu, energy consumption, and transportation. This book emphasizes that green computing-based infrastructure initiatives benefit not only the environment but the enterprise as well.Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective covers the need for smart green computing from various engineering disciplines and offers diversified applications for such computing with cases studies. The book highlights the sustainable development of smart cities using recent technology and emphasizes advances and cutting-edge techniques throughout. Focused on the different tools, platforms, and techniques associated with smart green computing, this book presents multiple perspectives from academia, industry, and research fields.The primary audience for this book includes academics, researchers, graduate students, smart city industry practitioners, and city administrators who are engaged in smart cities and related technology.

The built environment is undergoing a profound transformation driven by the integration of cutting-edge geospatial technologies. Smart Buildings and Cities with Remote Sensing and GIS serves as a comprehensive guide to navigating this transformation and bridges the gap between traditional architectural and planning practices and the innovative possibilities of remote sensing (RS) and geographic information systems (GIS). The book demonstrates how architects, planners, and decisionmakers can use GIS and RS to design smarter, context-aware, and eco-friendly urban spaces. It explores innovative approaches for architecture, focusing on geospatial site analysis, net-zero energy building designs, heritage preservation, innovative virtual campus planning methodologies and even futuristic concepts like habitat design on the lunar surface. Key features: • Brings together contemporary geospatial technologies and their applications to address the challenges and opportunities in designing smart buildings and cities.• Provides actionable solutions for professionals, researchers, and policymakers.• Includes global contributions that provide diverse perspectives on smart city and building applications.• Highlights how geospatial data-driven insights can revolutionize decisionmaking processes in urban planning and building design.The work is designed for postgraduate students and researchers in the departments of architecture, planning, and geomatics, geoinformatics, software engineering.

The industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels of automation, productivity, and efficiency. However, as IIoT and AI become more pervasive in the industrial world, they also offer new security risks that must be addressed to ensure the reliability and safety of critical systems.Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments provides a comprehensive guide to IIoT security, covering topics such as network architecture, risk management, data security, and compliance. It addresses the unique security challenges that the cloud and edge environments pose, providing practical guidance for securing IIoT networks in these contexts. It includes numerous real-world case studies and examples, providing readers with practical insights into how IIoT security and AI-enabled industrial engineering are being implemented in various industries. Best practices are emphasized for the readers to ensure the reliability, safety, and security of their systems while also learning the latest developments in IIoT security for AI-enabled industrial engineering systems in this rapidly evolving field.By offering step-by-step guidance for the implantation process along with best practices, this book becomes a valuable resource for practitioners and engineers in the areas of industrial engineering, IT, computer engineering, and anyone looking to secure their IIoT network against cyber threats.

This edited volume presents a comprehensive exploration of smart and sustainable water management, combining urban hydrology, digital innovation, cybersecurity, and climate resilience. It covers rainwater harvesting, stormwater control, wastewater management, wetlands, aquifer recharge, and field-based environmental investigations alongside advanced themes such as IoT-enabled monitoring, AI-driven predictive modelling, blockchain governance, homomorphic encryption, and SCADA security. Blending practical case studies with emerging technologies, the book offers a multidisciplinary resource that connects engineering, data science, policy, and environmental management within a single reference framework.The book integrates traditional water management practices with cutting-edge tools including smart sensors, machine learning, MNDWI-based impact assessment, bioimpedance water quality systems, and blockchain-enabled governance. Dedicated chapters address cybersecurity risks in water infrastructure and privacy-preserving IoT architectures. Real-world field studies from India provide applied insights, while predictive analytics and climate-resilient strategies support forward planning. Readers gain technical depth, implementation perspectives, and policy alignment guidance in one cohesive volume.This book is designed for environmental engineers, urban planners, water utility professionals, cybersecurity specialists, policymakers, researchers, and postgraduate students in civil engineering, data science, environmental studies, and smart infrastructure domains. It also supports smart city teams and sustainability practitioners seeking integrated digital water solutions.

The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems. Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. It offers a thorough examination of advanced techniques, methodologies, and applications that utilize intelligence to improve results in the healthcare sector. With the exponential growth of data in these domains, the book explores how computational intelligence and advanced analytic techniques can be harnessed to extract insights, drive informed decisions, and unlock hidden patterns from vast datasets. From genomic analysis to disease diagnostics and personalized medicine, the book aims to showcase intelligent approaches that enable researchers, clinicians, and data scientists to unravel complex biological processes and make significant strides in understanding human health and diseases. This book is divided into three sections, each focusing on computational intelligence and data sets in biomedical systems. The first section discusses the fundamental concepts of computational intelligence and big data in the context of bioinformatics. This section emphasizes data mining, pattern recognition, and knowledge discovery for bioinformatics applications. The second part talks about computational intelligence and big data in biomedical systems. Based on how these advanced techniques are utilized in the system, this section discusses how personalized medicine and precision healthcare enable treatment based on individual data and genetic profiles. The last section investigates the challenges and future directions of computational intelligence and big data in bioinformatics and biomedical systems. This section concludes with discussions on the potential impact of computational intelligence on addressing global healthcare challenges. Audience Intelligent Data Analytics for Bioinformatics and Biomedical Systems is primarily targeted to professionals and researchers in bioinformatics, genetics, molecular biology, biomedical engineering, and healthcare. The book will also suit academicians, students, and professionals working in pharmaceuticals and interpreting biomedical data.

Religious tourism is a phenomenon dating back thousands of years, that engages people from all walks of life, from across the entire globe. It is an inseparable part of many human lives. Pilgrimage and spiritual tourism are often considered an essential part of the religion itself. The contemporary environment, especially owing to the large-scale use of technology, has greatly changed the pattern and process of religious tourism. Be it pilgrim management, ticket generation, the safety and security of pilgrims and premises, facilitating movement, maintaining the religious centre, controlling access, educating the pilgrims, providing religious souvenirs - are all quickly and efficiently managed by technology. Technology has made it possible to smoothen the visit to religious tourism destinations, make it accessible to everyone, and even enhance the religious experience.Technology and Religious Tourism: Emerging Trends, Cases and Futuristic Perspectives covers the application, adaptability and implications of technology in religious tourism. Authors from different countries and religious backgrounds cover the theoretical aspects of the relation of religious tourism with technology, while highlighting global cases, contemporary trends and potential future trends. This book will be suitable for students, the research community, and academics who wish to study new dimensions of religious tourism, with respect to its adoption of modern technology.

Large language models (LLMs) represent a profound breakthrough in artificial intelligence. More than just statistical tools, these vast neural networks undergo an intensive training process that unlocks unexpected, emergent abilities. Models like ChatGPT are now demonstrating a surprising grasp of reasoning, semantics, and real-world concepts, leading many researchers to ask: are we witnessing the first sparks of Artificial General Intelligence (AGI)?These models are doing more than just revolutionizing natural language processing; they are forcing us to reconsider the boundaries of machine intelligence. While their applications in chatbots, complex problem-solving, and content creation are already reshaping our digital world, their deeper implications point toward an entirely new era of AI.To understand these emergent capabilities and confront the AGI question, a deep dive into the core technology is essential. This co-authored book provides that crucial foundation. The authors explore the significance and capabilities of LLMs, alongside the immense ethical, social, and security challenges that arise as these models grow more powerful.For anyone seeking a comprehensive guide to navigate this new territory, The Power of Large Language Models and AI in the Digital Age: Technologies, applications, security and ethics is a valuable resource. It is essential reading for data scientists, researchers from academia and industry, lecturers, and advanced students in AI, computer science, and data science who will shape the future of intelligent systems.

This book provides a comprehensive review of the complex, growing mental health challenges faced by culturally diverse populations of children and adolescents.Suicide Among Diverse Youth: A Case-Based Guidebook is the first book of its kind, and is designed specifically to bridge the knowledge and skills gap encountered by most clinicians dealing with youth from diverse cultural backgrounds, particularly those different than that of the clinician.The title begins with two introductory chapters, which cover cultural aspects of suicidality among youth, culturally informed treatment of suicidality with diverse youth, and examplesof preventative approaches. These are followed by population specific chapters which cover a broad spectrum of diverse populations, including underserved ethnic and racial populations in the United States, LGBTQ youth, as well as various immigrant populations from Eastern European and Middle Eastern countries. These case-based chapters are structured in a cohesive, easy-to-read format that promotes ease of reference, beginning with a clinical case report, review of literature, unique characteristics and risk factors associated with suicidality, and evidence-based practice provided by the authors from their considerable experience. The authors are often from the same ethnic, racial, or cultural group that they discuss in their writings; providing experiential knowledge where scientific knowledge is lacking. Suicide Among Diverse Youth: A Case-Based Guidebook is a unique resource that offers the clinical material needed to treat diverse adolescent patients with sensitive, intersectional, and culturally-informed care, and will provide an indispensable resource for medical professionals working with, and caring for these patients.

This book provides a comprehensive review of the complex, growing mental health challenges faced by culturally diverse populations of children and adolescents.Suicide Among Diverse Youth: A Case-Based Guidebook is the first book of its kind, and is designed specifically to bridge the knowledge and skills gap encountered by most clinicians dealing with youth from diverse cultural backgrounds, particularly those different than that of the clinician.The title begins with two introductory chapters, which cover cultural aspects of suicidality among youth, culturally informed treatment of suicidality with diverse youth, and examplesof preventative approaches. These are followed by population specific chapters which cover a broad spectrum of diverse populations, including underserved ethnic and racial populations in the United States, LGBTQ youth, as well as various immigrant populations from Eastern European and Middle Eastern countries. These case-based chapters are structured in a cohesive, easy-to-read format that promotes ease of reference, beginning with a clinical case report, review of literature, unique characteristics and risk factors associated with suicidality, and evidence-based practice provided by the authors from their considerable experience. The authors are often from the same ethnic, racial, or cultural group that they discuss in their writings; providing experiential knowledge where scientific knowledge is lacking. Suicide Among Diverse Youth: A Case-Based Guidebook is a unique resource that offers the clinical material needed to treat diverse adolescent patients with sensitive, intersectional, and culturally-informed care, and will provide an indispensable resource for medical professionals working with, and caring for these patients.