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The Steel Frame: A History of the IAS
Deepak Gupta did his BA from Allahabad, MA from St Stephen’s college and MPhil in International relations from JNU. From the IAS batch of 1974, he has spent many years in the field in the erstwhile state of Bihar, including two districts (Saharsa 1979–80; Rohtas 1986–88) as Collector. He served in many departments in state and center and was also posted in India Trade Centre, Brussels and spent a year as WHO Advisor on TB in Delhi. He retired in 2011 as Secretary, Ministry of New and Renewable Energy. After retirement he consulted with the World Bank and UNIDO and writes on issues of energy and sustainable development. He was Chairman of UPSC from November 2014 to September 2016. His published works include Documentation of Participatory Irrigation Management, Covering a Billion with DOTS, Achieving Universal Energy Access in India: Challenges and Way Forward, and Caught by the Police.
Artificial Intelligence for the Internet of Health Things
This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications. Provides a deeper understanding of key AI a...
Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare
This book addresses the difficult task of integrating computational techniques with virtual reality and healthcare. It discusses the use of virtual reality in various areas, such as healthcare, cognitive and behavioural training, understanding mathematical graphs, human–computer interaction, fluid dynamics in healthcare industries, accurate real-time simulation, and healthcare diagnostics. Presenting the computational techniques for virtual reality in healthcare, it is a valuable reference resource for professionals at educational institutes as well as researchers, scientists, engineers and practitioners in industry.
The Girl With No Dreams
I always asked mom about my father, but she always told me, ‘Your father came for a night to ruin my whole life.' A Story about Dreams, Hope and Death Oh, I am sorry. I’m extremely sorry; I usually forget introducing myself. I’m Amanda, a plain sailing girl who loves to explore love and life in an adventurous way. Everyone has a story for being a different personality, and I have also. I was born poor to raise my old mother instead of she raised me. I am glad that my old mother gave me my first home for nine months. Happiness is hard for our family and sometimes even the hardest. I know when babies are born, they cry, but when I was born, I and my mom both were crying because I had entered a world where cruelty is always the first choice. I had never seen my father so, I was never called to be daddy’s princess, but a normal girl who has no right to see her dreams, not even when I am sleeping.
Data Analytics and Management
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2020), held at Jan Wyzykowski University, Poland, during June 2020. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
Cognitive Internet of Medical Things for Smart Healthcare
This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.
The Rules of Being Highly Productive
The most loss happens to those who never think about loss. The most remarkable success comes to those who accept every result of their work. We don't have time, or we don't schedule our time. There’s a noteworthy difference. Do you ever feel astonished at how most popular celebrities including Jeff Bezos, J.K. Rowling, Mark Zuckerberg, Warren Buffet, Elon Musk, and many in addition, accomplish the highly rugged work efficiently and in a very peaceful manner? When we were arranging the mini blocks, Mark Zuckerberg created Facebook and became a billionaire in no time. You know, being extraordinarily productive is like utilizing our genuine potential. Most people don't recognize their actual ...
Advances in Swarm Intelligence for Optimizing Problems in Computer Science
This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more.
Deep Learning for Medical Applications with Unique Data
Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations. The volume discusses not only positive findings, but also negative ones obtained by deep learning techniques, including the use of newly developed deep learning techniques rarely reported in the existing liter...
Hybrid Computational Intelligence
Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.
