Amandeep Kaur – författare

This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas. It investigates several privacy-preserving methods such as homomorphic encryption, secure multi-party computation, and differential privacy. It will enable readers to build and implement federated learning systems that safeguard private medical information.

Features:

This book is aimed at graduate students and researchers in federated learning, data science, AI/machine learning, and healthcare.

This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas. It investigates several privacy-preserving methods such as homomorphic encryption, secure multi-party computation, and differential privacy. It will enable readers to build and implement federated learning systems that safeguard private medical information.

Features:

This book is aimed at graduate students and researchers in federated learning, data science, AI/machine learning, and healthcare.

In this internet age of security challenges and threats from cybercrime, enhanced security measures are necessary. The zero trust model—the IT security model that requires strict identity verification for every person and device trying to access resources on a private network—helps to meet these everincreasing and evolving security challenges. This new volume offers a comprehensive overview of the zero trust security model and its application in the field of cybersecurity, covering the principles, technologies, and best practices for implementing a zero trust approach, equipping readers with the knowledge and tools to secure their digital environments effectively. This book stands out by providing a holistic view of the zero trust security model, combining practical guidance for professionals with educational insights for both professionals and students and offering real-world examples and case studies that bridge the gap between learning and implementation.

In this internet age of security challenges and threats from cybercrime, enhanced security measures are necessary. The zero trust model—the IT security model that requires strict identity verification for every person and device trying to access resources on a private network—helps to meet these everincreasing and evolving security challenges. This new volume offers a comprehensive overview of the zero trust security model and its application in the field of cybersecurity, covering the principles, technologies, and best practices for implementing a zero trust approach, equipping readers with the knowledge and tools to secure their digital environments effectively. This book stands out by providing a holistic view of the zero trust security model, combining practical guidance for professionals with educational insights for both professionals and students and offering real-world examples and case studies that bridge the gap between learning and implementation.

This thesis advances the long-standing challenge of measuring oxidative stress and deciphering its underlying mechanisms, and also outlines the advantages and limitations of existing design strategies. It presents a range of approaches for the chemical synthesis of fluorescent probes that detect reversible changes in cellular oxidative stress. The ability to visualise cellular processes in real-time is crucial to understanding disease development and streamline treatment, and this can be achieved using fluorescent tools that can sense reversible disturbances in cellular environments during pathogenesis. The perturbations in cellular redox state are of particular current interest in medical research, since oxidative stress is implicated in the pathogenesis of a number of diseases.

In total it reports on four new probes that are now being used by over twenty research groups around the globe, and two of which have been commercialised. The final chapters of this thesis demonstrate successful applications of the sensors in a variety of biological systems ranging from prokaryotes to mammalian cells and whole organisms. The results described clearly indicate the immense value of collaborative, cross-disciplinary research.

The book is comprehensive analysis of the growth pattern, development, disparities, convergence and determinants of Agriculture in Uttar Pradesh spanning over 50 years from 1960-2010, covering 35 crops and 85 districts in the state (including Uttarakhand). It captures the change dynamics of temporal and spatial dimensions of agricultural performance over the different policy regimes; pre green and green revolution as well as post reform period. Besides measuring the growth and development, the inter-district disparities are examined using standard inequality measures of Gini coefficient, coefficient of variation, ratio of top to bottom quintile productivity, top to bottom quintile shares. Dynamics of disparity has been studied by analysing the sigma convergence, beta unconditional convergence, beta conditional convergence and club convergence approaches. Using panel data model, the role of technological, informational, institutional, infrastructure and idiosyncratic factors has been examined as determinant of temporal and spatial differentials in agriculture development in the state.