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Advanced Heat Transfer

Advanced Heat Transfer

The book provides a valuable source of technical content for the prediction and analysis of advanced heat transfer problems including conduction convection radiation phase change and chemically reactive modes of heat transfer. With more than 20 new sections case studies and examples the Third Edition broadens the scope of thermal engineering applications including but not limited to biomedical micro- and nanotechnology and machine learning. The book features a chapter devoted to each mode of multiphase heat transfer. FEATURES Covers the analysis and design of advanced thermal engineering systems Presents solution methods that can be applied to complex systems such as semi-analytical machine learning and numerical methods Includes a chapter devoted to each mode of multiphase heat transfer including boiling condensation solidification and melting Explains processes and governing equations of multiphase flows with droplets and particles Applies entropy and the second law of thermodynamics for the design and optimization of thermal engineering systems Advanced Heat Transfer Third Edition offers a comprehensive source for single and multiphase systems of heat transfer for senior undergraduate and graduate students taking courses in advanced heat transfer multiphase fluid mechanics and advanced thermodynamics. A solutions manual is provided to adopting instructors.

GBP 115.00
1

Machine Learning Theory and Practice

Machine Learning Theory and Practice

Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization tree-based methods including Random Forests and Boosted Trees Artificial Neural Networks including Convolutional Neural Networks (CNNs) reinforcement learning and unsupervised learning focused on clustering. Topics are introduced in a conceptual manner along with necessary mathematical details. The explanations are lucid illustrated with figures and examples. For each machine learning method discussed the book presents appropriate libraries in the R programming language along with programming examples. Features: Provides an easy-to-read presentation of commonly used machine learning algorithms in a manner suitable for advanced undergraduate or beginning graduate students and mathematically and/or programming-oriented individuals who want to learn machine learning on their own. Covers mathematical details of the machine learning algorithms discussed to ensure firm understanding enabling further exploration Presents worked out suitable programming examples thus ensuring conceptual theoretical and practical understanding of the machine learning methods. This book is aimed primarily at introducing essential topics in Machine Learning to advanced undergraduates and beginning graduate students. The number of topics has been kept deliberately small so that it can all be covered in a semester or a quarter. The topics are covered in depth within limits of what can be taught in a short period of time. Thus the book can provide foundations that will empower a student to read advanced books and research papers. | Machine Learning Theory and Practice

GBP 110.00
1

Advanced Manufacturing and Processing Technology

Advanced Manufacturing and Processing Technology

This book disseminates recent research theories and practices relevant to the areas of surface engineering and the processing of materials for functional applications in the aerospace automobile and biomedical industries. The book focuses on the hidden technologies and advanced manufacturing methods that may not be standardized by research institutions but are greatly beneficial to material and manufacturing industrial engineers inmany ways. It details projects research activities and innovations in a global platform to strengthen the knowledge of the concerned community. The book covers surface engineering including coating deposition cladding nanotechnology surface finishing precision machining processing and emerging advanced manufacturing technologies to enhance the performance of materials in terms of corrosion wear and fatigue. The book captures the emerging areas of materials science and advanced manufacturing engineering and presents recent trends in research for researchers field engineers and academic professionals. | Advanced Manufacturing and Processing Technology

GBP 170.00
1

Advanced Water Technologies Concepts and Applications

Advanced Water Technologies Concepts and Applications

The book explores basic concepts and advanced topics in the field of water technologies. It deals extensively with advances in materials material selection preparation characterization and application. The relevance of water technologies in industries is considered and a section is dedicated to describing and analyzing the technologies required for water reuse and advanced purification including desalination. Nuclear desalination low-carbon desalination and water purification technologies to address the adverse impacts of climate change are examined from both the adaptation and mitigation points of view. Aimed at senior undergraduate/graduate students in chemical civil and environmental engineering along with wastewater and desalination researchers this book: Details advanced water treatments for varied processes. Describes membrane and desalination techniques for water reuse and advanced purification. Elaborates water technologies at both the front and back ends of the process. Discusses modern technologies for effluent treatment and water recycling. Explores the role of information technology in the water sector. | Advanced Water Technologies Concepts and Applications

GBP 130.00
1

Conducting Polymers for Advanced Energy Applications

Conducting Polymers for Advanced Energy Applications

This book details the use of conducting polymers and their composites in supercapacitors batteries photovoltaics and fuel cells nearly covering the entire spectrum of energy area under one title. Conducting Polymers for Advanced Energy Applications covers a range of advanced materials based on conducting polymers the fundamentals and the chemistry behind these materials for energy applications. FEATURES Covers materials chemistry various synthesis approaches and the properties of conducting polymers and their composites Discusses commercialization and markets and elaborates on advanced applications Presents an overview and the advantages of using conducting polymers and their composites for advanced energy applications Describes a variety of nanocomposites including metal oxides chalcogenides graphene and materials beyond graphene Offers the fundamentals of electrochemical behavior This book provides a new direction for scientists researchers and students in materials science and polymer chemistry who seek to better understand the chemistry behind conducting polymers and improve their performance for use in advanced energy applications.

GBP 150.00
1

Advanced Organic Synthesis A Laboratory Manual

Advanced Organic Synthesis A Laboratory Manual

Laboratory experience equips students with techniques that are necessary for professional practice. Advanced Organic Synthesis: A Laboratory Manual focuses on a mechanistic background of key reactions in organic chemistry gives insight into well-established trends and introduces new developments in the field. The book features experiments performed by primary author Dmitry Liskin while he was a graduate student providing a real-life quality to the experiments by using examples that have actually been conducted. It also includes recent experiments that have been published in peer-reviewed journals. The experiments are presented in a brief and simple manner including bulleted lists of the required materials and equipment as well as step-by-step walkthroughs. Each experiment also carefully details safety issues and waste disposal methods. Emphasizing techniques and approaches used in more advanced labs Advanced Organic Synthesis: A Laboratory Manual gives undergraduates the theoretical knowledge and practical experience they need to succeed at more advanced levels of research involving organic synthesis at the graduate or industrial level. | Advanced Organic Synthesis A Laboratory Manual

GBP 175.00
1

Statistical Machine Learning A Unified Framework

Statistical Machine Learning A Unified Framework

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing analyzing evaluating and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students engineers and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular the material in this text directly supports the mathematical analysis and design of old new and not-yet-invented nonlinear high-dimensional machine learning algorithms. Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised unsupervised and reinforcement machine learning algorithms Matrix calculus methods for supporting machine learning analysis and design applications Explicit conditions for ensuring convergence of adaptive batch minibatch MCEM and MCMC learning algorithms that minimize both unimodal and multimodal objective functions Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics computer science electrical engineering and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students professional engineers and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph. D. M. S. E. E. B. S. E. E. ) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models. | Statistical Machine Learning A Unified Framework

GBP 99.99
1

Advanced Wireless Communication and Sensor Networks Applications and Simulations

Advanced Wireless Communication and Sensor Networks Applications and Simulations

This book covers wireless communication security issues advanced wireless sensor networks (WSNs) routing protocols of WSNs with cross-layer solutions emerging trends in the advanced WSNs power management distributed sensing and data gathering techniques for WSNs WSNs security applications research of advanced WSNs with simulation results and simulation tools for WSNs. Features: Covers technologies supporting advanced wireless communication systems sensor networks and the conceptual development of the subject Discusses advanced data gathering and sharing/ distributed sensing techniques with its business applicability Includes numerous worked-out mathematical equations and formulas as well as essential principles including figures illustrations algorithms and flow charts Provides pervasive background knowledge including both wireless communications and WSNs Covers wireless networks as well as sensor network models in detail This book is aimed at graduate students researchers and academics working in the field of computer science wireless communication technology and advanced WSNs. | Advanced Wireless Communication and Sensor Networks Applications and Simulations

GBP 110.00
1

Machine Learning for Sustainable Manufacturing in Industry 4.0 Concept Concerns and Applications

Machine Learning for Sustainable Manufacturing in Industry 4.0 Concept Concerns and Applications

The book focuses on the recent developments in the areas of error reduction resource optimization and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4. 0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4. 0 ecosystem such as resource optimization data analysis and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4. 0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4. 0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection cyber-attack prediction and inventory management. It further discusses resource optimization using machine learning in industry 4. 0 and explainable machine learning models for industry 4. 0. It will serve as an ideal reference text for senior undergraduate graduate students and academic researchers in the fields including mechanical engineering manufacturing engineering production engineering aerospace engineering and computer engineering. | Machine Learning for Sustainable Manufacturing in Industry 4. 0 Concept Concerns and Applications

GBP 110.00
1

Machine Learning Concepts Techniques and Applications

Machine Learning Concepts Techniques and Applications

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. | Machine Learning Concepts Techniques and Applications

GBP 140.00
1

Langford's Advanced Photography

Langford's Advanced Photography

Langford's Advanced Photography is the only advanced photography guide a serious student or aspiring professional will ever need. In this eighth edition Efthimia Bilissi continues in the footsteps of Michael Langford by combining an unrivalled level of technical detail with a straightforward writing style while simultaneously bringing the text firmly in to the digital era. This book covers the entire photographic process from a technical standpoint - not only detailing the 'how' but also explaining the 'why' that is so often missing from photography texts. From the workings of cameras lenses digital imaging sensors and software to new hot topics such as HDR imaging digital asset management and even running your own photography business everything a serious photographer could need to extend their art into professional realms is covered. The book also benefits from a full glossary charts and inspirational full color images throughout with summaries and projects at the end of each chapter to reinforce the theory.

GBP 175.00
1

Advanced Steel Design of Structures

Advanced Steel Design of Structures

Advanced Steel Design of Structures examines the design principles of steel members under special loads and covers special geometric forms and conditions not typically presented in standard design books. It explains advanced concepts in a simple manner using numerous illustrative examples and MATLAB® codes. Features: Provides analysis of members under unsymmetrical bending Includes coverage of structures with special geometry and their use in offshore applications for ultra-deep water oil and gas exploration Presents numerical modeling and analysis of steel members under fire conditions impact and blast loads Includes MATLAB® examples that will aid in the capacity building of civil engineering students approaching this complex subject Written for a broad audience the presentation of design concepts of steel members will be suitable for upper-level undergraduate students. The advanced design theories for offshore structures under special loads will be an attractive feature for post-graduate students and researchers. Practicing engineers will also find the book useful as it includes numerous solved examples and practical tutorials.

GBP 99.99
1

Advanced Controls for Wind Driven Doubly Fed Induction Generators

Advanced Controls for Wind Driven Doubly Fed Induction Generators

Advanced Controls for Wind Driven Doubly Fed Induction Generators discusses the most advanced control algorithms used for enhancing the dynamics of a doubly fed induction generator (DFIG) operating at fixed and variable speeds and which are used for different utilization purposes (standalone and grid connection). Extensive generator performance analysis has been introduced using various control topologies. Features: Presents modeling of wind energy conversion systems (WECS) including a wind turbine as a prime mover a DFIG as a generation unit for electrical energy and a three-phase induction motor as an isolated load Explores a detailed description for the presented control algorithms in order to visualize the base principle of each method Introduces a comprehensive performance analysis for the DFIG using the formulated predictive voltage control scheme and other control techniques under different operating conditions Examines the formulation of new control approaches which overcome the shortages present in previous DFIG control schemes Presents a detailed comparison between different control topologies for the DFIG to outline the most effective procedure in terms of dynamic response structure simplicity ripples total harmonic distortion and computational burdens The book is written for researchers and academics working on advanced control systems and those interested in areas such as machine drives renewable energy systems 'adaptive control' modeling of WECS and optimization theory.

GBP 110.00
1

Engineering Thermodynamics Fundamental and Advanced Topics

Engineering Thermodynamics Fundamental and Advanced Topics

This textbook comprehensively covers the fundamentals and advanced concepts of thermodynamics in a single volume. It provides a detailed discussion of advanced concepts that include energy efficiency energy sustainability energy security organic Rankine cycle combined cycle power plants combined cycle power plant integrated with organic Rankine cycle and absorption refrigeration system integrated coal gasification combined cycle power plants energy conservation in domestic refrigerators and next-generation low-global warming potential refrigerants. Pedagogical features include solved problems and unsolved exercises interspersed throughout the text for better understanding. This textbook is primarily written for senior undergraduate students in the fields of mechanical automobile chemical civil and aerospace engineering for courses on engineering thermodynamics/thermodynamics and for graduate students in thermal engineering and energy engineering for courses on advanced thermodynamics. It is accompanied by teaching resources including a solutions manual for instructors. FEATURES Provides design and experimental problems for better understanding Comprehensively discusses power cycles and refrigeration cycles and their advancements Explores the design of energy-efficient buildings to reduce energy consumption Property tables charts and multiple-choice questions comprise appendices of the book and are available at https://www. routledge. com/9780367646288. | Engineering Thermodynamics Fundamental and Advanced Topics

GBP 130.00
1

Advanced Structural Analysis with MATLAB

Advanced Structural Analysis with MATLAB

Building structures are unique in the field of engineering as they pose challenges in the development and conceptualization of their design. As more innovative structural forms are envisioned detailed analyses using computer tools are inevitable. This book enables readers to gain an overall understanding of computer-aided analysis of various types of structural forms using advanced tools such as MATLAB®. Detailed descriptions of the fundamentals are explained in a classroom style which will make the content more user-friendly and easier to understand. Basic concepts are emphasized through simple illustrative examples and exercises and analysis methodologies and guidelines are explained through numerous example problems. | Advanced Structural Analysis with MATLAB®

GBP 110.00
1

A Practical Course in Advanced Structural Design

A Practical Course in Advanced Structural Design

A Practical Course in Advanced Structural Design is written from the perspective of a practicing engineer one with over 35 years of experience now working in the academic world who wishes to pass on lessons learned over the course of a structural engineering career. The book covers essential topics that will enable beginning structural engineers to gain an advanced understanding prior to entering the workforce as well as topics which may receive little or no attention in a typical undergraduate curriculum. For example many new structural engineers are faced with issues regarding estimating collapse loadings during earthquakes and establishing fatigue requirements for cyclic loading – but are typically not taught the underlying methodologies for a full understanding. Features: Advanced practice-oriented guidance on structural building and bridge design in a single volume. Detailed treatment of earthquake ground motion from multiple specifications (ASCE 7-16 ASCE 4-16 ASCE 43-05 AASHTO). Details of calculations for the advanced student as well as the practicing structural engineer. Practical example problems and numerous photographs from the author’s projects throughout. A Practical Course in Advanced Structural Design will serve as a useful text for graduate and upper-level undergraduate civil engineering students as well as practicing structural engineers.

GBP 99.99
1

Applied Machine Learning for Smart Data Analysis

Applied Machine Learning for Smart Data Analysis

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation context awareness analyzing various data sources machine learning algorithms and intelligent services and applications. Further it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning security IoT and data mining the concepts are explained with practical implementation including results. Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning machine learning Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health transportation and Internet applications | Applied Machine Learning for Smart Data Analysis

GBP 125.00
1

Advanced Bioceramics Properties Processing and Applications

Advanced Bioceramics Properties Processing and Applications

Advanced Bioceramics: Properties Processing and Applications describes development of bioceramics and biocomposites which are used in various biomedical applications including bone tissue repair remodelling and regeneration. It covers the fundamental aspects of materials science and bioengineering clinical performance in a variety of applications ISO/ASTM specifications and opportunities and challenges. Offers a comprehensive view of properties and processing of bioceramics Highlights applications in dentistry orthopaedic and maxillofacial implants and regenerative and tissue engineering Covers ISO/ASTM specifications such as processing clinical applications recycling/reuse and disposal standards Explores health environmental and ethical issues With contributions from eminent editors and recognized authors around the world this book should serve as an important reference for academics scientists researchers students and practitioners in materials science and biomedical engineering. It is to assist in the design of novel targeted and personalised bioceramic-based solutions to advanced healthcare. | Advanced Bioceramics Properties Processing and Applications

GBP 150.00
1

Advanced Manufacturing Processes

Advanced Manufacturing Processes

The field of manufacturing science has evolved over the years with the introduction of non-traditional machining processes. This reference book introduces the latest trends in modeling and optimization of manufacturing processes. It comprehensively covers important topics including additive manufacturing at multi-scales sustainable manufacturing rapid manufacturing of metallic components using 3D printing ultrasonic-assisted bone drilling for biomedical applications micromachining and laser-assisted machining. This book is useful to senior undergraduate and graduate students in the fields of mechanical engineering industrial and production engineering and aerospace engineering. | Advanced Manufacturing Processes

GBP 115.00
1

Power Electronics Drives and Advanced Applications

Power Electronics Drives and Advanced Applications

Concern for reliable power supply and energy-efficient system design has led to usage of power electronics-based systems including efficient electric power conversion and power semiconductor devices. This book provides integration of complete fundamental theory design simulation and application of power electronics and drives covering up-to-date subject components. It contains twenty-one chapters arranged in four sections on power semiconductor devices basic power electronic converters advanced power electronics converters power supplies electrical drives and advanced applications. Aimed at senior undergraduate and graduate students in electrical engineering and power electronics including related professionals this book • Includes electrical drives such as DC motor AC motor special motor high performance motor drives solar electrical/hybrid vehicle and fuel cell drives • Reviews advances in renewable energy technologies (wind PV hybrid power systems) and their integration • Explores topics like distributed generation microgrid and wireless power transfer system • Includes simulation examples using MATLAB®/Simulink and over four hundred solved unsolved and review problems | Power Electronics Drives and Advanced Applications

GBP 150.00
1

Advanced Materials and Manufacturing Processes

Advanced Materials and Manufacturing Processes

This book discusses advanced materials and manufacturing processes with insights and overviews on tribology automation mechanical biomedical and aerospace engineering as well as the optimization of industrial applications. The book explores the different types of composite materials while reporting on the design considerations and applications of each. Offering an overview of futuristic research areas the book examines various engineering optimization and multi-criteria decision-making techniques and introduces a specific control framework used in analyzing processes. The book includes problem analyses and solving skills and covers different types of composite materials their design considerations and applications. This book is an informational resource for advanced undergraduate and graduate students researchers scholars and field professionals providing an update on the current advancements in the field of manufacturing processes.

GBP 150.00
1

Advanced Electromagnetic Wave Propagation Methods

Advanced Electromagnetic Wave Propagation Methods

This textbook provides a solid foundation into many approaches that are used in the analysis of advanced electromagnetic wave propagation problems. The techniques discussed are essential to obtain closed-form solutions or asymptotic solutions and meet an existing need for instructors and students in electromagnetic theory. The book covers various advanced mathematical methods used in the evaluation of the electromagnetic fields in rectangular cylindrical and spherical geometries. The mathematics of special functions (i. e. Bessel Hankel Airy Legendre Error etc. ) are covered in depth including appropriate Appendices. The author takes particular care to provide detailed explanations of auxiliary potentials Hertz’s vectors Debye potentials as well as the use of Green functions the Watson transformation and the method of steepest descent in the solution of electromagnetic problems. Overall Advanced Electromagnetic Wave Propagation Methods is a good source for the many skills required in obtaining closed form and asymptotic solution which in many instances cannot be obtained using computer codes of Maxwell’s equations. Thus it provides an excellent training for preparing graduate students in their research work. This book is intended for a graduate course in electromagnetic theory for students in electrical engineering. Students in physics and professionals will also find it appropriate and useful. Provides a comprehensive and unified treatment of radiation and propagation problems Presents a detailed explanation in the use of Green functions the Watson transformation and the method of steepest descent as they apply to electromagnetic problems Demonstrates various advanced mathematical techniques used in the evaluation of the electromagnetic fields Details how to formulate and obtain a closed-form solution or an asymptotic solution Includes appendices for Bessel Legendre Airy and Error functions

GBP 130.00
1

Data Science AI and Machine Learning in Drug Development

Data Science AI and Machine Learning in Drug Development

The confluence of big data artificial intelligence (AI) and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information Data Science AI and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R & D emerging applications of big data AI and ML in drug development and the build of robust data science organizations to drive biopharmaceutical digital transformations. Features Provides a comprehensive review of challenges and opportunities as related to the applications of big data AI and ML in the entire spectrum of drug R & D Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval Offers a balanced approach to data science organization build Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development Affords sufficient context for each problem and provides a detailed description of solutions suitable for practitioners with limited data science expertise | Data Science AI and Machine Learning in Drug Development

GBP 99.99
1