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The study of heat treatment has assumed great significance because of the vital role heat treatment plays in achieving the designed characteristics in a given material. This comprehensive and well-organized text skillfully blends the theoretical and practical aspects of heat treatment. It discusses, in rich detail, about heat treatment of commercial steels, cast irons and non-ferrous metals and alloys. The book also offers an in-depth analysis of topics such as nature of metals and alloys; principles of heat treatment of steels; heat treatment processes; possible defects, causes and remedies in heat treatment; and inspection and quality control in heat treatment. This second edition of the successful text has gone through considerable modification on the basis of responses received. Additional figures have been added for greater clarity and understanding. Multiple choice questions and other pedagogically arranged questions help students to assess their subject knowledge. Designed primarily as a text for undergraduate and postgraduate students of Metallurgy, the book is also useful for undergraduate students of mechanical, production, and chemical engineering. Besides, it meets the requirements of students of AMIE/AMIIM, and of diploma level courses in metallurgical and mechanical engineering. Furthermore, the book can serve as an invaluable reference for practising engineers.

This book offers a comprehensive treatment of the fundamentals of solar cells and their use in the photovoltaic (PV) technology, a major constituent of renewable sources of energy. It discusses the nature and measurement of solar radiation, methods for characterization of solar cells and determination of their parameters. The book describes the principle of operation of different types of inverters used in PV systems and also illustrates the design, construction and performance of photovoltaic operated systems such as the solar lantern, solar water pump, solar inverter and a general solar power system. Besides, it explains the process of uploading of power generated by solar arrays to the power grid for onwards transmission to distant locations. The economic aspects of the PV systems and their conventionally operated counterparts are also dealt with. The design procedure given in the book enables the reader to configure the desired PV system without the help of high priced patented software. The text is intended for a course on PV technologies undertaken by the undergraduate and postgraduate students of Electrical Engineering, Energy Studies, and Mechanical Engineering. In addition, the book would also be useful for teachers, scientists, engineers and professionals to quickly understand the fundamentals of photovoltaic technology. KEY FEATURES: About one hundred figures, fifty circuit diagrams and several design examples are given. A large number of problems are given at the end of some chapters. References are provided for further study and research.

This textbook, now in its third edition, provides comprehensive coverage of the different aspects of materials management in a student-friendly manner. The book gives a clear introduction to materials management, and discusses topics such as classification, codification, specifications and standardization of materials.Besides explaining the fundamental principles of stores management and materials handling, the text provides an in-depth analysis of inventory control with illustrative examples. It also highlights the principles of purchasing, the nature of the purchasing process, value analysis and quality assurance.Intended primarily for the undergraduate and postgraduate students of production engineering/industrial management and engineering, and postgraduate students of management, this book would also be useful to practising managers.New to this edition:Incorporates two new chapters on Supply Chain Management and Customer Relationship Management.Includes four new case studies in inventory control.Read more

New Edition. This well-received and widely accepted book by the students of business schools across the country, in its Seventh Edition, provides cases that have been culled from the real business world and drawn from authentic sources. In the present edition, the following cases have been thoroughly updated.

With the increased pace in globalization and internationalization of business, cross-cultural management has assumed enormous significance. And, as multinational corporations (MNCs) and Transnational Corporations (TNCs) spread their wings across nations with numerous employees of different nationalities, with their different cultures, different mores and different behaviours, organizations have to reconcile these differences and have to forge a unified organizational culture to achieve their mission, vision and objectives. This book eminently suits as a text to address these goals. Divided into 14 chapters, this comprehensive and well-organized text discusses in detail the many cultural issues facing organizations. The author, with his expertise and wealth of experience, provides a masterly analysis of the subject, harmoniously blending the theory and practice of cross-cultural management, making it a unified whole. Not only does the text give a thorough understanding of culture, showing that it is an amalgam of shared values and behaviours of groups as well as a phenomenon applicable to individuals, it also delineates the many facets of corporate culture.

This practical and accessible text is designed to make data science approachable for learners at every stage. Created through collaboration among educators and practitioners, the book builds a strong foundation by connecting essential theory with hands practice. It covers fundamentals, statistics, visualisation, machine learning, deep learning, NLP, time series analysis, and responsible AI. Designed especially for students, fresh graduates, and curious learners, it aims not to overwhelm but to empower. This book serves as a clear, supportive companion for anyone beginning or advancing their journey in data science.

Artificial Intelligence and Industry 5.0 is a textbook that bridges theoretical foundations of AI with its applications in the emerging areas of Industry 5.0. The book is written to provide a foundation for machine learning and deep learning with their applications in natural sciences by providing worked-out examples and exercises. The book takes a balanced approach between the theoretical basis for machine learning and its applications. It covers topics including artificial neural networks, machine learning, supervised and unsupervised learning, deep learning, convolution neural networks, and recurrent neural networks. Besides, the book also includes topics such as pattern recognition, natural language processing and metaheuristic algorithms which will give readers to understand some of the vital areas where AI plays a significant role. The well-explained algorithms and pseudocodes for each topic help students to apply them in their relevant field.

This comprehensive text on Python programming is designed for undergraduate and postgraduate students in Computer Science and Information Technology. Whether you are a beginner or have limited programming knowledge, this book offers a structured learning experience, starting from foundational concepts and advancing to complex topics like machine learning. Divided into three parts, the book ensures a smooth progression from Basics and Core concepts of Python to Machine Learning with Python. It covers fundamental topics such as data types, variables, operators, and interactive input-output, enabling readers to write simple yet effective Python programs.

Designed as a textbook for undergraduate students of engineering, physics and chemistry, the book exposes the fundamental knowledge of Crystal Structure, Crystal Defects and Bonding in Solids. The text deals with Introductory Quantum Physics, Electrical Properties of Materials, Band Theory of Solids, Semiconducting Materials and Dielectric Materials. Moreover, Properties of Superconducting Materials as well as Optical Properties of Materials and Magnetic Properties of Materials are emphasized in an explicit way.

Rock mechanics is a first course in the field of mining and geotechnical engineering. Over the last few decades, the concepts and applications of rock mechanics have evolved tremendously for understanding the stability and safety of structures made of/on/into the rock masses. The second edition of the book elaborates the fundamental concepts of rock mechanics for designing and analysis of structures and excavations for a variety of applications. The text includes a fine blend of theory and worked-out examples and applications, and also emphasises the basics of stress and strain analysis, volume-weight relationship, rock mass classification systems, in situ stress measurements, stresses around underground opening, pillar and support design, subsidence, slope stability, rock failure criteria and behaviour of jointed rock mass.

In an era where data drives decisions, the ability to decode insights from social media and web interactions has become a game-changer. ‘Social Media and Web Analytics’ is your essential guide to mastering the art and science of analytics in the digital age. This all-encompassing textbook fills the gap by moving between theory and practice in understanding the importance of analytics and how they have evolved over time. Structured from foundational concepts to advanced methodologies like predictive modelling, machine learning, and network analysis, the readers will get actionable knowledge on every chapter. This textbook illuminates the strategies behind success and what is learned from failure, through real-life examples, step-by-step explanation, and case studies. The book is beneficial to the students of business management, data analysts, marketers, and business managers alike as a source of value and practical application in enhancing strategic decisions, improving customer experience and maximizing organization's digital presence.

The revised and updated Seventh Edition gives an in-depth and incisive analysis of the basic principles of strategic management. The exposition of these principles is reinforced by seven case studies that encompass the broad spectrum of Indian companies. The case studies are culled mainly from manufacturing and information technology, and include both private and public sector units. The case studies will be of immense help to the budding managers. Also, the cases provide them with the requisite practical orientation for understanding the strategic management issues.

Generative AI is a groundbreaking form of artificial intelligence that swiftly creates contest in response to prompts. The book offers a comprehensive and academically structured introduction to Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs). It presents the fundamental concepts, mathematical intuition, and architectural principles behind modern generative AI technologies in a clear and systematic manner. The book covers key topics such as transformers, large language models, prompt engineering, retrieval augmented generation, generative adversarial networks, diffusion models, multimodal AI, vision language models, and synthetic data generation. Rather than focusing on heavy programming or complex implementation, the book emphasizes conceptual understanding, theoretical depth, and system-level thinking, making advanced AI topics accessible to learners and researchers. Through well-organized chapters and structured explanations, the book helps readers understand how generative models learn, generate content, and solve real-world problems across text, image, and multimodal domains. It also discusses evaluation techniques, ethical considerations, bias, and the future directions of generative AI, enabling students to develop a responsible and research-oriented perspective toward AI technologies. Overall, the book builds a strong foundation in the principles and architectures of generative AI systems.

Neural networks are changing the world around us—from voice assistants on our phones to medical diagnosis and self-driving cars. But learning about them can feel overwhelming. This book makes neural networks simple and accessible for everyone. The book takes you on a clear journey from the basics to modern AI systems. It starts by showing how artificial neurons were inspired by the human brain, then builds up step by step to today's powerful architectures like transformers and generative models. The book is organized in five clear parts: building blocks, core architectures for different data types, modern language processing techniques, generative models, and practical applications. Each part builds naturally on the previous one.