Research on Engineering Applications in Multidisciplinary Sectors presents a concise yet wide-ranging collection of contemporary research and practical innovations across engineering, technology, and applied sciences. The book highlights how data science, machine learning, smart materials, cryptography, environmental engineering, automation, and digital transformation are being used to solve real-world global challenges. By blending theoretical foundations with case studies and experimental results, it provides a clear view of both emerging trends and practical implementations across various sectors, including smart cities, sustainable manufacturing, healthcare, supply chains, and information security. Key Features: Integrates multidisciplinary engineering and computing approaches Applies data-driven and AI-based methods to real-world problems Analyses sustainable materials, smart systems, and digital transformation Presents case studies, surveys, and comparative research insights Addresses societal, environmental, and technological challenges

Research on Engineering Applications in Multidisciplinary Sectors presents a concise yet wide-ranging collection of contemporary research and practical innovations across engineering, technology, and applied sciences. The book highlights how data science, machine learning, smart materials, cryptography, environmental engineering, automation, and digital transformation are being applied to solve real-world global challenges. By blending theoretical foundations with case studies and experimental results, it offers a clear view of both emerging trends and practical implementations across sectors such as smart cities, sustainable manufacturing, healthcare, supply chains, and information security. Key Features: Integrates multidisciplinary engineering and computing approaches Applies data-driven and AI-based methods to real-world problems Analyses sustainable materials, smart systems, and digital transformation Presents case studies, surveys, and comparative research insights Addresses societal, environmental, and technological challenges

Learn how artificial intelligence is reshaping sustainable development across engineering domains with AI-Driven Technologies for Sustainable Engineering. The book demonstrates how AI-infused solutions can strengthen resilience, enhance efficiency, and support global sustainability goals. Spanning topics ranging from IoT, healthcare, water systems, smart cities, to nanotechnology, education, and renewable energy, each chapter presents in-depth discussions supported by real-world case studies, illustrating how intelligent systems from automation to predictive analytics are reducing environmental impact and enabling responsible innovation. Challenging the perception that technology contributes primarily to degradation, this book highlights how data-driven intelligence can instead reverse harmful trends and serve as a catalyst for sustainable transformation. Key Features Covers diverse AI applications across engineering fields including renewable energy, healthcare, education, transportation, and smart infrastructure. Aligns AI-enabled solutions with the United Nations Sustainable Development Goals (SDGs). Bridges research and real-world practice through detailed case studies and applied examples. Presents insights from leading experts, offering a multidisciplinary understanding of sustainable engineering.

This book addresses the pressing need for responsible decision-making in modern engineering contexts, the book explores interdisciplinary approaches that integrate sustainability, corporate responsibility, and innovation within management systems. Divided into three thematic sections, the volume begins with foundational discussions on cultural challenges, ESG reporting frameworks, and CSR integration. It then moves to sector-specific analyses—including construction, IT, and manufacturing—highlighting sustainable business practices and organizational effectiveness. The final section presents forward-looking perspectives, such as the role of AI, gamification, HR innovation, and continuous process improvement in shaping the future of engineering management. Key Features: Investigates emerging paradigms in sustainability reporting and ethical leadership Explores real-world case studies across diverse industries Examines the intersection of technology, HR trends, and engineering practices Offers multidisciplinary perspectives from expert contributors Supports practical understanding through contextual analysis

Fatigue Analysis on Moving Bodies explores dynamic structural analysis of mechanical systems under transient conditions. It bridges theoretical foundations with practical applications, offering a comprehensive guide for engineers and students alike. Beginning with fundamental concepts in Chapters 1-3, the book progresses to advanced topics such as finite element methods and fatigue failure analysis (Chapters 4-7). It culminates in Chapter 8 with detailed analyses applicable to real-world scenarios like gear trains and vehicle suspensions. Key Features: - Comprehensive coverage of mechanical systems under transient loads - Mathematical derivations using Lagrange's equations and energy formulations - Application of finite element methods in dynamic analysis - In-depth exploration of fatigue failure mechanisms and analysis techniques

Bacterial Nanocellulose for Papermaking and Packaging explores the groundbreaking potential of bacterial nanocellulose (BNC) in the papermaking and packaging industries. It provides an in-depth overview of BNC`s unique properties, biosynthesis, and scalable production methods, highlighting its role as a sustainable, high-performance biomaterial. Special emphasis is placed on its applications, such as enhancing paper durability, fire resistance, barrier properties, and creating specialized paper products. Key Features: - Comprehensive analysis of BNC`s production methods, from lab-scale to industrial scale. - Insights into BNC`s transformative applications in papermaking, including as a reinforcing agent and coating material. - Exploration of BNC`s potential in developing advanced packaging solutions. - Discussion on challenges and future perspectives for sustainable and cost-effective BNC production.

This book is an essential guide to analysis and design of tall buildings and foundations. The book covers the basic consideration of tall buildings, selection of a suitable structural form, structural materials, and analytical methods for several types of construction loadings. The last chapter of this book presents an illustrated case study for learners. An appendix of different structural analysis calculations rounds up the book. The detailed analysis and learning material presented in the book is intended to enable readers to master the basics and understand how to execute practical civil engineering projects. Key features: - Covers the essentials of skyscraper design and construction in detail with a focus on learning. - Covers building modelling parameters and criteria with design reports and computer inputs. - Includes analysis and notes for foundation layout, loadings and the excavation and lateral support system (ELS). - Includes more than 250 detailed illustrations of concepts, construction plans and photos from real projects. - Includes references and appendices for advanced readers. - Includes more details than most of the similar texts, with practical guidelines based on references from many buildings and foundation projects. The authors have extensive research and practical experience of buildings and foundation analysis and design in Hong Kong, and have actively served as regional engineering committee members overseeing structural and foundation disciplines.

Robotics and Automation in Industry 4.0 explores the transformative role of robotics, automation, and emerging technologies in the modern industrial landscape. The book is divided into four comprehensive sections, each focusing on key areas of Industry 4.0. These are: 1) Robotics: Applications and Advancements, 2) Renewable Energy Applications, 3), FinTech, and 4) Multidisciplinary approaches. It compiles 13 chapters offering insights into the latest advancements and provides practical guidance for navigating the evolving industrial landscape.

Smart Kinematics for Modern Engineering Students is an essential reference on basic kinematics. The book provides detailed knowledge on coordinate transformations for matrix calculations, followed by information about different configurations in component pairs and joints. Readers will learn about the basic mechanical engineering methods used to design components for systems with moving parts along with various practical applications of these concepts. Key Features - Provides-In-depth knowledge of 3D vector calculations in kinematics - Includes descriptions and depictions of major joints commonly used in engineering designs and applications - Discusses common methods of optimization for solving multivariable systems of highly nonlinear equations using displacement models - Presents practical examples of analysis applied to commonly used mechanical system - 6 DOF robotic arm and moving platform - A generic Light Manufacturing Tool (LMT) - Phantom DOF devices - Temporomandibular joint (TMJ) as a biomechanical joint - Include scientific references The material in this book will be helpful to undergraduate and graduate engineers who are required to understand knowledge about modern methods in mechanical engineering, including prerequisite courses in advanced linear algebra, kinematics and complex systems.

This volume explores diverse applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. Key highlights of this volume include topics on engineering for underwater navigation, and computer vision for healthcare and biometric applications. Chapters 1-4 delve into innovative signal detection, biometric authentication, underwater AUV localization, and COVID-19 face mask detection. Chapters 5-9 focus on wireless pH sensing, differential pattern identification, economic considerations in off-grid hybrid power, high optimization of image transmission, and ANN-based IoT-bot traffic detection. Chapters 10-12 cover mixed-signal VLSI design, pre-placement 3D floor planning, and bio-mimic robotic fish. Finally, Chapters 13 and 14 explore underwater robotic fish and IoT-based automatic irrigation systems, providing a comprehensive overview of cutting-edge technological advancements. The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.