Showing results for "krishna kant"
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LEARN GRAMMAR WITH FUN
English Grammar Made Easy
- Book 1 -
- 1
2023
EN
Book of English Grammar has been written by me to help students of secondary and higher secondary classes for their entrance and competitive exams like NDA, SSC, Banking etc. This book has been designed,compiled, and prepared to develop interest in English. This book contains English fun facts like longest words, glossary of terms in English language, shortest sentence in English and many other such interesting facts of English. This book will serve as repository of several pieces of infor...
Generative AI in R
Transforming Data Science with Synthetic Data and Advanced Modeling Techniques
2026
EN
Accessible
Leverage Generative AI within the R programming environment and prepare for future directions and how new innovations can be applied in the R ecosystem. This pioneering book is designed to bridge the gap between the advanced realms of Generative AI and the practical, statistical computing power of R.You’ll begin with an introduction to Generative AI principles and its significance in the current data-driven landscape. You’ll then dive into the practicalities of implementing generat...
Multimodal Data Fusion in Healthcare
AI Approaches for Precision Diagnosis
2026
EN
Accessible
Multimodal Data Fusion in Healthcare: AI Approaches for Precision Diagnosis explores the transformative potential of AI in modern medicine by integrating diverse data sources such as medical imaging, genomics, EHRs, and wearable sensors. It highlights how AI technologies are revolutionizing healthcare systems through personalized and proactive diagnostics. The book covers cutting-edge methodologies, real-world applications, and the challenges of multimodal data fusion. Topics include AI-dr...
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- Computer Science (R0)
2025
EN
Accessible
This book stands at the forefront of AI research, offering a comprehensive examination of multimodal generative technologies. Readers are taken on a journey through the evolution of generative models, from early neural networks to contemporary marvels like GANs and VAEs, and their transformative application in synthesizing realistic images and videos. In parallel, the text delves into the intricacies of language models, with a particular on revolutionary transformer-based designs. A core h...
2025
EN
Stay ahead of the curve in urban innovation with this essential guide that provides a comprehensive roadmap for federated learning and blockchain to build secure, intelligent, and efficient smart city ecosystems.As cities grow smarter, the demand for secure, decentralized, and privacy-preserving technologies is greater than ever. This book explores how federated learning and blockchain are transforming urban landscapes by enabling intelligent, secure, and efficient...
2024
EN
Accessible
Explainable AI (XAI) is an upcoming research field in the domain of machine learning. This book aims to provide a detailed description of the topics related to XAI and Blockchain. These two technologies can benefit each other, and the research outcomes will benefit society in multiple ways.Existing AI systems make decisions in a black box manner. Explainable AI delineates how an AI system arrived at a particular decision. It inspects the steps and models that are responsible for ma...
Responsible and Explainable Artificial Intelligence in Healthcare
Ethics and Transparency at the Intersection
2024
EN
Accessible
Responsible and Explainable Artificial Intelligence in Healthcare: Ethics and Transparency at the Intersection provides clear guidance on building trustworthy Artificial Intelligence systems for healthcare. The book focuses on using Artificial Intelligence to improve diagnosis, prevent diseases, and personalize patient care. It addresses potential drawbacks, like reduced human interaction and ethical concerns, offering solutions for ethical and transparent Artificial Intelligence use in me...
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- Advances in Bionanotechnology
2023
EN
Accessible
This book summarizes nanotechnology-based agricultural research for crop productivity and the management of various plant pathogens. It deals with the application of nano-molecules for quick, cost-effective, and precise plant disease diagnostic procedures, plant pests and disease management, nano-pesticides, and nano-diagnostics. Further, it explains nanomaterials for biotic stress management, with an insight into the synthesis and modification of nanomaterials and their potential applicat...
2023
EN
BLOCKCHAIN and DEEP LEARNING for SMART HEALTHCAREThe book discusses the popular use cases and applications of blockchain technology and deep learning in building smart healthcare.The book covers the integration of blockchain technology and deep learning for making smart healthcare systems. Blockchain is used for health record-keeping, clinical trials, patient monitoring, improving safety, displaying information, and transp...
2022
EN
Accessible
An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this new volume covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing.The volume first lays out the fundamentals of deep learning as well as deep learning architectures and frameworks. It goes on to discuss deep learning in neural networks and deep learnin...
Handbook of Computational Sciences
A Multi and Interdisciplinary Approach
2023
EN
The Handbook of Computational Sciences is a comprehensive collection of research chapters that brings together the latest advances and trends in computational sciences and addresses the interdisciplinary nature of computational sciences, whichrequire expertise from multiple disciplines to solve complex problems.This edited volume covers a broad range of topics, including computational physics, chemistry, biology, e...
Deep Learning and IoT in Healthcare Systems
Paradigms and Applications
2021
EN
Accessible
This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide.The authors explore the convergence of IoT and deep learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional netw...











