Pooja Singh – författare

This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems.

The book:

• Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems.

• Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms.

• Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care.

• Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare.

This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.

This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems.

The book:

• Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems.

• Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms.

• Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care.

• Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare.

This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.

Over the last few decades, unprecedented global population growth has led to increased demand for food and shelter. At the same time, extraction of natural resources beyond the Earth’s resilience capacity has had a devastating effect on ecosystems and environmental health. Furthermore, climate change is having a significant impact in a number of areas, including the global hydrological cycle, ecosystem functioning, coastal vulnerability, forest ecology, food security, and agricultural sustainability. According to the Intergovernmental Panel on Climate Change (IPCC), only immediate and sustained action will prevent climate change causing irreversible and potentially catastrophic damage to our environment. 

This book presents various scientific views and concepts, research, reviews, and case studies on contemporary environmental issues in changing climate scenarios and highlights different adaptation measures. Increasing awareness of modern-day patterns of climate change, it addresses questions often raised by environmental scientists, researchers, policymakers and general readers. 

The book introduces dependability (security metric) ideas, gives a general overview of the security analysis of Safety-Critical Systems (SCSs), explains why the study is necessary and defines key terms relevant to this research. It makes an effort to emphasize the significance of security in comparison to other dependability indicators and illustrates the key drivers of this research''s purpose. The mathematical foundation of the security analysis process is briefly illustrated, and key mathematical terminology and concepts are presented that are crucial for the security evaluation of critical systems. This book''s objective is to provide a thorough understanding of the security analysis process. It will be a research-focused book designed for undergraduate, graduate, and doctoral courses in software and cyber security. The fundamentals of reliability, security, metrics, and mathematical foundation have been covered in this book. Each technique''s actual applications, along with benefits and drawbacks, are also shown. Applying each technique to the various case studies serves as a demonstration of how it works. By using the many case studies of safety-critical systems, the students can also learn different analysis approaches and how to model them. Students will be able to use these tools, in particular, on a case study of their choice to analyze system security. The book includes a comparison of various strategies and appropriate recommendations for further reading on these subjects. Moreover, this book''s target audience includes software professionals who are interested in security analysis.

This contributed volume covers a comprehensive account of the sources, toxic biological as well as environmental impacts, and possible remediation strategies for contamination by heavy metals. In biological systems, toxic metals affect the integrity of cellular organelles and act as carcinogens causing chromosomal aberrations or as systemic toxicants leading to cardiovascular, neurobehavioral, and immunological disorders. In plants, they interfere with photosynthesis, fertility, metabolite, and chlorophyll synthesis. Toxicity induced by heavy metals involves mechanistic approaches that need to be understood properly. They cannot be degraded by biological or chemical means and thus can only be converted to less harmful forms. The conventional detection methods include biosensors, voltammetry, atomic absorption spectrometry, and inductively coupled plasma with atomic emission spectrometry. All such strategies for metal detection and mitigation strategies are covered in this title under one section.

This book incorporates classical views along with modern scientific approaches to develop an understanding of the subject matter suitable for academicians, researchers, planners, policymakers, NGOs, and environmental consultancies and raise awareness on this concern. Topics representing diverse sections namely environmental impacts, biological effects, and methods used for detection and remediation have been included to address all possible contemporary issues on the topic in one concise volume.