Rajesh Kumar – författare

Valuation: Theories and Concepts provides an understanding on how to value companies that employ non-standard accounting procedures, particularly companies in emerging markets and those that require a wider variety of options than standard texts provide.

The book offers a broader, more holistic perspective that is perfectly suited to companies and worldwide markets. By emphasizing cases on valuation, including mergers and acquisition valuation, it responds to the growing expectation that students and professionals must generate comprehensive perspectives based on thorough investigations and a library of valuation theories.

Readers will gain a better understanding of the development of complete analyses, including trend analysis of financial parameters, ratio analysis, and differing perspectives on valuation and strategic initiatives. Case studies include stock market performance and synergies and the intrinsic value of the firm are compared with offer price. In addition, full data sets for each chapter are available online.

Modeling of Chemical Wear is a one-stop resource for students, researchers and professionals seeking quick and effective tribological evaluations of environmentally friendly and energy efficient products.This book considers optimizing additive combinations by proper methodology, bridging the gap between theory and practice. It defines effective approaches to evaluate antiwear chemical additives commonly used in industry, enhancing the mapping ability of their performance to reduce the extent of full scale evaluations.

Strategic Financial Management Casebook strategically uses integrative case studies-cases that do not emphasize specific subjects such as capital budgeting or value based management-to provide a framework for understanding strategic financial management. By featuring holistic presentations, the book puts readers into the shoes of those responsible for the world's largest wealth creators. It covers strategies of growth, mergers and acquisitions, financial performance analysis over the past decade, wealth created in terms of stock returns since its listing in stock market, investment and financial decisions, cost of capital, and corporate valuation.

In addition, the casebook also discusses corporate restructuring activities undertaken by each company. Each chapter follows a template to facilitate learning, and each features an Excel-based case analysis worksheet that includes a complete data set for financial analysis and valuation.

Sensors for Health Monitoring discusses the characteristics of U-Healthcare systems in different domains, providing a foundation for working professionals and undergraduate and postgraduate students. The book provides information and advice on how to choose the best sensors for a U-Healthcare system, advises and guides readers on how to overcome challenges relating to data acquisition and signal processing, and presents comprehensive coverage of up-to-date requirements in hardware, communication and calculation for next-generation uHealth systems. It then compares new technological and technical trends and discusses how they address expected u-Health requirements.

In addition, detailed information on system operations is presented and challenges in ubiquitous computing are highlighted. The book not only helps beginners with a holistic approach toward understanding u-Health systems, but also presents researchers with the technological trends and design challenges they may face when designing such systems.

Computational Biology for Stem Cell Research seamlessly bridges the gap between the worlds of biomedical sciences and in silico computational methods. This book serves as a valuable resource for researchers and students, enabling them to grasp and delve into the intricacies of hematopoietic Stem Cells (HSCs) and mesenchymal Stem Cells (MSCs) through the lens of computational biology. This perspective sheds light on stem cell transplantation, translational research, and unique properties of stem cells like self-renewal and differentiation. In addition to introducing readers to stem cell-focused bioinformatics tools, this resource offers a clear pathway for effortlessly merging in silico methods with traditional in vitro and in vivo approaches.

Computational Biology for Stem Cell Research combines science and technology to showcase how computational methods transform stem cell research by reducing costs and enhancing investigations. The chapters uncover various approaches, from machine learning to genome analysis, for studying networks, protein interactions, dynamics, and the preprocessing of large datasets. The book aims to give readers a broad view of the advanced computational tools and methods extensively employed in stem cell research. Additionally, the book emphasizes the ongoing studies and tools yet to be developed for furthering stem cell research.

The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth.

Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth

This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.

The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth.

Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth

This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.

Honey is a supersaturated solution of sugar made by bees. Honeybees collect a liquid secretion from flowers, called nectar, and take this back to their hives. It is an appreciated natural gift to humanity derived entirely from honeybees. Honey is the by-product of nectar collected by bees from the flowers, with some digestive enzymes produced by the honeybees themselves.

Honey: A Miraculous Product of Nature summarizes the current status of honey, it’s uses and related aspects. This illustrated volume describes use of honey in traditional medicines, i.e. Ayurveda, Siddha, and Unani by acting as a preservative and nourishing agent. Also, other properties like digestibility, palatability, deliciousness, refreshing, thirst quencher, stomachic, anti-obtrusive, expectorant, anti-oxidative, anti-tussive and blood purifier are explained in beautiful manner. The role of honey in improving eyesight, strengthens gums and teeth and it’s use in jaundice, spleen enlargement, sore throat, chest diseases, sexual debility, renal and cystic calculi, intestinal worms, heart diseases and leprosy is very well described.

The compiled knowledge from range of bee scientists, Honey: A Miraculous Product of Nature aims to provide broad knowledge on honey to the researchers, apiculturists and students to continue their work on honey and honeybees.