Machine Learning: Concepts, Techniques and Applications starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. The book then goes on to describe important machine learning algorithms along with appropriate use cases. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A comprehensive account of various aspects of ethical machine learning has been discussed. An outline of deep learning models is also included. The use cases, self-assessments, exercises, activities, numerical problems, and projects associated with each chapter aims to concretize the understanding. Features Concepts of Machine learning from basics to algorithms to implementation Comparison of Different Machine Learning Algorithms – When to use them & Why – for Application developers and Researchers Machine Learning from an Application Perspective – General & Machine learning for Healthcare, Education, Business, Engineering Applications Ethics of machine learning including Bias, Fairness, Trust, Responsibility Basics of Deep learning, important deep learning models and applications Plenty of objective questions, Use Cases, Activity and Project based Learning Exercises The book aims to make the thinking of applications and problems in terms of machine learning possible for graduate students, researchers and professionals so that they can formulate the problems, prepare data, decide features, select appropriate machine learning algorithms and do appropriate performance evaluation.
Mechanical finishing is the process that alters the hand, appearance and performance of textiles. Technical textiles are products manufactured primarily with performance, rather than aesthetics, in mind. This chapter reviews the various mechanical finishing processes that technical textile products will endure. Applications of the mechanically finished fabric in technical textiles, and the mechanical finishing technologies adopted in the latest machines, are discussed in this chapter.
Presents research and case studies from over 200 Manufacturing Professionals across the globe in the area of: Manufacturing Process; Materials; Metrology; Finite Element Methods; Industrial Engineering; Optimization; Quality; and Supply Chain Management.
Today, more and more organizations are realizing the importance of practising ethics in their business dealings. And the engineering profession is no exception to this. For, any policy or practice that gives a go-by to professional ethics—which essentially entails fair and transparent dealings based on sound moral principles—cannot enjoy the confidence of the customer for long. It is in this context that a book on Professional Ethics is very significant. This systematically organized text opens with an introduction to Human Values and discusses, with great skill and expertise, the various approaches to the study of ethical behaviour, ethical theories, value-based ethics and the engineers’ responsibility for safety and risk, collegiality and loyalty. Besides, the responsibilities of engineers in organizational setting, and global issues such as environmental ethics, computer ethics, and Intellectual Property Rights (IPRs) are also covered in this text. The Case Studies lend a practical orientation to the book, and the Review Questions sharpen the analytical skills of the students. This is a must have book for the students of engineering and management.
Low Speed Aerodynamics" delves into the fundamental principles and phenomena associated with the behavior of airflow around bodies at low speeds. This book covers essential topics such as boundary layer theory, drag, lift, and stall characteristics, emphasizing practical applications in aviation and automotive industries. Through a blend of theoretical insights and experimental results, it provides a comprehensive understanding of aerodynamic principles, enabling engineers and researchers to design efficient and effective airfoil shapes and vehicles. Ideal for students and professionals, this work serves as a vital resource in the study of aerodynamics.
Graphs, Combinatorics, Algorithms and Applications: The research papers contributed by leading experts in their respective field discusses current areas of research in graph theory such as: Graphoidal covers Hyper graphs Domination in graph Signed graphs Graph labelings and Theoretical computer science This volume will serve as an excellent reference for experts and research scholars working in Graph Theory and related topics.
This Book Can Be Used As A Text Book For The Under Graduate As Well As Post Graduate Curriculum Of Different Universities And Engineering Institutions. Working Personnel, Engaged In Designing, Installing And Analyzing Of Different Renewable Energy Systems, Can Make Good Use Of This Book In Course Of Their Scheduled Activities. It Provides A Clear And Detailed Exposition Of Basic Principles Of Operation, Their Material Science Aspects And The Design Steps.Particular Care Has Been Taken In Elaborating The Concepts Of Hybrid Energy Systems, Integrated Energy Systems And The Critical Role Of Renewable Energy In Preserving Today'S Environment. References At The End Of Each Chapter Have Been Taken From Publications In Different Reputed Journals, Recent Proceedings Of National And International Conferences And Recent Web Sites Along With Ireda And Teri Reports.
Christianity Today 2013 Book Award Winner Winner of The Foundation for Pentecostal Scholarship's 2012 Award of Excellence 2011 Book of the Year, Christianbook.com's Academic Blog Most modern prejudice against biblical miracle reports depends on David Hume's argument that uniform human experience precluded miracles. Yet current research shows that human experience is far from uniform. In fact, hundreds of millions of people today claim to have experienced miracles. New Testament scholar Craig Keener argues that it is time to rethink Hume's argument in light of the contemporary evidence available to us. This wide-ranging and meticulously researched two-volume study presents the most thorough current defense of the credibility of the miracle reports in the Gospels and Acts. Drawing on claims from a range of global cultures and taking a multidisciplinary approach to the topic, Keener suggests that many miracle accounts throughout history and from contemporary times are best explained as genuine divine acts, lending credence to the biblical miracle reports.
Presents state-of-the-art research and case studies from over 150 Design & Manufacturing professionals across the globe in the areas of CAD/CAM; Product Design; Rapid Prototyping and Tooling; Manufacturing Processes; Micromachining and Miniaturisation; Mechanism and Robotics; Artificial Intelligence; and Material Handling Systems.
Clinical diagnosis in orthopedic pain conditions can be mysterious, especially when many conditions mimic each other in the same region. An unusual manifestation delays diagnosis, and increases complications, worsening the patient’s condition. This book highlights the need for a change in our method of clinical practice, both in primary care and specialist care. Dr. Kumaravel has updated methods in diagnosing orthopedic conditions and has structured the chapters so that in a region of pain, both local and transmitted pain are considered. A simple approach of considering the different conditions in tables and flow charts will help young orthopedic surgeons to discover what they are dealing with. i.e., If there is pain, then where did it arise? What is the list of conditions one needs to consider? What can it mimic? What do they need to be differentiated from? Never missing a diagnosis can’t be more emphasized. Because knowing what condition one is dealing with solves 99% of the problem, while treating it is only the remaining 1%. Knowledge is power. Readers can apply these to their patients and plan the treatment accordingly. This well-structured book for orthopedic pain makes learning orthopedics entertaining and assists clinicians in giving correct and quick care.
This textbook explains the principles of fuzzy systems in some depth together with information useful in realizing them within computational processes. The various algorithms and example problem solutions are a well-balanced and pertinent aid for research projects, laboratory work and graduate study. In addition to its worked examples, the book also uses end-of-chapter exercises as an instructional aid. The content of the book is developed and extended from material taught for four years in the author’s classes. The text provides a broad overview of fuzzy control, estimation and fault diagnosis. It ranges over various classes of target system and modes of control and then turns to filtering, stabilization, and fault detection and diagnosis. Applications, simulation tools and an appendix on algebraic inequalities complete a unified approach to the analysis of single and interconnected fuzzy systems. Fuzzy Control, Estimation and Fault Detection is a guide for final-year undergraduate and graduate students of electrical and mechanical engineering, computer science and information technology, and will also be instructive for professionals in the information technology sector.
This book deals with issues related to undernutrition and anaemia in India. It establishes its interconnectedness with poverty, tribal living conditions, contraception usage, dietary diversity, and socioeconomic inequality. It addresses SDG 2, namely “end hunger, achieve food security and improved nutrition, and promote sustainable agriculture.” It puts forth the linkages between mother's economic empowerment and children's nutritional status, anaemia of women with particular reference to tribal women, and the issues associated with anaemia in India. It also delves into the relationship between contraceptive usage and anaemia level. It explores the proximate and intermediate determinants of undernutrition disaggregated at the state level in India. It elaborates the importance of ensuring food security and suggests policy measures to improve maternal and child health. The book is an asset for all researchers, academicians, clinicians and policy makers dealing with sociology, economics, public policy, social work, population study, gender issues, biostatistics, health, development, and nutrition.
Machine Learning: Concepts, Techniques and Applications starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. The book then goes on to describe important machine learning algorithms along with appropriate use cases. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A comprehensive account of various aspects of ethical machine learning has been discussed. An outline of deep learning models is also included. The use cases, self-assessments, exercises, activities, numerical problems, and projects associated with each chapter aims to concretize the understanding. Features Concepts of Machine learning from basics to algorithms to implementation Comparison of Different Machine Learning Algorithms – When to use them & Why – for Application developers and Researchers Machine Learning from an Application Perspective – General & Machine learning for Healthcare, Education, Business, Engineering Applications Ethics of machine learning including Bias, Fairness, Trust, Responsibility Basics of Deep learning, important deep learning models and applications Plenty of objective questions, Use Cases, Activity and Project based Learning Exercises The book aims to make the thinking of applications and problems in terms of machine learning possible for graduate students, researchers and professionals so that they can formulate the problems, prepare data, decide features, select appropriate machine learning algorithms and do appropriate performance evaluation.
Design of Machine Elements for Mechanical Engineers" is a comprehensive guide that delves into the principles and practices of designing machine components. It covers critical aspects such as material selection, stress analysis, and failure theories, providing engineers with essential tools to create reliable and efficient mechanical systems. The book emphasizes practical applications and includes real-world examples, calculations, and design methodologies, making it an invaluable resource for both students and professionals in the field of mechanical engineering. With a focus on innovation and functionality, it serves as a key reference for successful machine design.
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