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.

This volume is a review of recent developments, opportunities, and challenges in the conversion of biomass from different sources to biodiesel or related fuel additives. Key features of the book include fully referenced chapters edited by experts, a blend of basic and current information on biodiesel and a summary of sustainable use of biodiesel byproducts like glycerol. The volume presents a comprehensive range of 13 topics related to biodiesel production and fuel additives. It begins with a historical overview of biodiesel and related additives, followed by detailed chapters on biodiesel production from various sources such as soybean oil, palm oil, and Jatropha curcas oil. Recent advancements in catalytic thermochemical conversions of biomass into biofuels are explored, alongside discussions on algal biocrude as a feedstock. The role of homogeneous and heterogeneous catalysis in biodiesel production is examined, along with innovative techniques such as microwave and ultrasound-assisted synthesis. The book also presents information about the utilization of waste cooking oil and waste-derived catalysts, concluding with insights into solketal synthesis and catalytic biodiesel production via simultaneous esterification and transesterification. The book imparts the technical know-how on biodiesel and relevant fuel additives for engineering and sustainability students, professionals and apprentices. It also informs policymakers in the energy sector on the benefits of biodiesel as a renewable energy resource.

Introduction to Advanced Soft Robotics is an introductory textbook on soft body robotics. The content is designed to enable readers to better understand soft body robotics. Starting with an introduction to the subject, contents explain fundamental concepts such as perception and sensing, fabrication techniques and material design. These introductory chapters demonstrate the design concept and related design structures of soft robots from multiple perspectives, which can provide considerable design references for robotics learners and enthusiasts. Next, the book explains modeling and control for soft robotics and the applications. Key features of this book include easy-to-understand language and format, simple illustrations and a balanced overview of the subject (including a section on challenges and future prospects for soft robotics), and scientific references.

This reference provides a comprehensive overview of computational modelling and simulation for theoretical and practical biomedical research. The book explains basic concepts of computational biology and data modelling for learners and early career researchers. Chapters cover these topics: 1. An introduction to computational tools in biomedical research 2. Computational analysis of biological data 3. Algorithm development for computational modelling and simulation 4. The roles and application of protein modelling in biomedical research 5. Dynamics of biomolecular ligand recognition Key features include a simple, easy-to-understand presentation, detailed explanation of important concepts in computational modeling and simulations and references.

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.

Biomedical Applications of Perovskites: The Era of Bio-Piezoelectric Systems focuses on recent developments in the area of piezoelectric systems and their biomedical applications. A compilation of 19 edited chapters covers different piezoelectric materials, device designs, and their use cases. Readers will be familiarized with the many perovskite materials being used in research and development as well as the role they play in designing novel medical devices and biomaterials. Key Features - systematically explains the piezoelectric perovskite materials starting from their introduction, their structure and synthesis techniques - explains the key materials used in devices such as pacemakers and nanogenerators - highlights a range of applications including bone regeneration and growth, bone replacement, tissue engineering, dental science, neurotrauma and neurodegenerative disease treatment and bionic prosthesis - discusses future challenges and the roadmap for piezoelectric perovskite materials - Presents scientific references for advanced reading

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.

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.

This book focuses on crucial characterization methods adopted for materials, design, and performance of secondary batteries. The book is divided into eight chapters aiming to provide comprehensive and essential guidance on battery characterizations. Each chapter focuses on a specific technique: electron microscopy, focused ion beam methods, atomic force microscopy, X-ray photoelectron spectroscopy, time-of-flight secondary ion mass spectra, neutron diffraction, synchrotron-radiation X-ray tomography, and ultrasonic nondestructive testing. Key Features · Comprehensive coverage of characterization techniques for secondary battery technology · Explains the working principle, essential functions and data analysis for each technique · In-depth review of recent applications of secondary batteries from both material and device perspectives · Detailed reference list for advanced readers This monograph is intended as a resource for the broad research community involved in materials and device testing for batteries at academic and industrial levels. It also serves as a reference for engineering students required to learn advanced characterization techniques for developing rechargeable battery technology.

Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) examines how federated learning can address key challenges within the Internet of Vehicles, from data security to routing efficiency. This volume explores how federated learning, a decentralized approach to machine learning, enables secure and adaptive IoV systems that enhance road safety, optimize traffic flow, and support reliable data sharing. Chapters cover essential topics, including technologies to address IoV routing issues, secure data exchange using blockchain, privacy-preserving methods, and NLP applications for vehicle safety. By combining theoretical insights with practical solutions, the book highlights how federated learning fosters scalable, resilient IoV systems that respond dynamically to the demands of connected vehicles. Key Features: - Addresses data privacy, secure communication, and adaptive solutions in IoV - Explores federated learning applications in real-time IoV systems - Combines practical examples with theoretical foundations in IoV technology - Includes emerging research areas in IoV federated learning frameworks