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Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing - Mustafa Mamduh Mustafa Awd - Bog - Springer Fachmedien Wiesbaden -

Machine Learning Algorithm for Fatigue Fields in Additive Manufacturing - Mustafa Mamduh Mustafa Awd - Bog - Springer Fachmedien Wiesbaden -

Fatigue failure of structures used in transportation, industry, medical equipment, and electronic components needs to build a link between cutting-edge experimental characterization and probabilistically grounded numerical and artificially intelligent tools. The physics involved in this process chain is computationally prohibitive to comprehend using traditional computation methods. Using machine learning and Bayesian statistics, a defect-correlated estimate of fatigue strength was developed. Fatigue, which is a random variable, is studied in a Bayesian-based machine learning algorithm. The stress-life model was used based on the compatibility condition of life and load distributions. The defect-correlated assessment of fatigue strength was established using the proposed machine learning and Bayesian statistics algorithms. It enabled the mapping of structural and process-induced fatigue characteristics into a geometry-independent load density chart across a wide range of fatigue regimes.

DKK 800.00
1

Quantum Machine Learning - - Bog - Taylor & Francis Ltd - Plusbog.dk

Quantum Machine Learning - - Bog - Taylor & Francis Ltd - Plusbog.dk

This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming, along with the usage of quantum computing, toward improving traditional machine learning algorithms through case studies. In summary, the book: - - Covers the core and fundamental aspects of statistics, quantum learning, and quantum machines. - - - Discusses the basics of machine learning, regression, supervised and unsupervised machine learning algorithms, and artificial neural networks. - - - Elaborates upon quantum machine learning models, quantum machine learning approaches and quantum classification, and boosting. - - - Introduces quantum evaluation models, deep quantum learning, ensembles, and QBoost. - - - Presents case studies to demonstrate the efficiency of quantum mechanics in industrial aspects. - This reference text is primarily written for scholars and researchers working in the fields of computer science and engineering, information technology, electrical engineering, and electronics and communication engineering.

DKK 901.00
1

Welded High Strength Steel Structures - Jin Jiang - Bog - Wiley-VCH Verlag GmbH - Plusbog.dk

Welded High Strength Steel Structures - Jin Jiang - Bog - Wiley-VCH Verlag GmbH - Plusbog.dk

Welded High Strength Steel Structures Understand the impact of fatigue on high strength steel joints with this comprehensive overview High strength steels are highly sought after for industrial and engineering applications ranging from armored vehicles to welded engineering components built to withstand considerable stress. The mechanical properties of welded joints made from high strength steel are integrally linked to the specific welding process, which can have an enormous impact on fatigue performance. Welded High Strength Steel Structures: Welding Effects and Fatigue Performance provides a comprehensive analysis of high strength steel joints and the ramifications of the welding process. It guides readers through the process of performing thermal analysis of high strength steel structures and evaluate fatigue performance in the face of residual stress. The result is a volume with innumerable use cases in engineering and manufacture. Welded High Strength Steel Structures readers will also find: An author with decades of experience in research and engineeringNumerous studies of various classes of high strength steel jointsStudies on tubular structures for welding residual stress Welded High Strength Steel Structures is a must-own for welding specialists, materials scientists, mechanical engineers, and researchers or industry professionals in related fields.

DKK 861.00
1

Machine Learning for Healthcare - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning for Healthcare - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them. Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector. The features of this book include: - - A unique and complete focus on applications of machine learning in the healthcare sector. - - - An examination of how data analysis can be done using healthcare data and bioinformatics. - - - An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. - - - An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors. -

DKK 993.00
1

A Primer on Machine Learning Applications in Civil Engineering - Paresh Chandra Deka - Bog - Taylor & Francis Ltd - Plusbog.dk

A Primer on Machine Learning Applications in Civil Engineering - Paresh Chandra Deka - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included. Features - Exclusive information on machine learning and data analytics applications with respect to civil engineering Includes many machine learning techniques in numerous civil engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water resources and hydrological modeling, geotechnical engineering, construction engineering and management, coastal and marine engineering, and geographical information systems Includes MATLAB ® exercises

DKK 958.00
1

Cyber Security Meets Machine Learning - - Bog - Springer Verlag, Singapore - Plusbog.dk

Cyber Security Meets Machine Learning - - Bog - Springer Verlag, Singapore - Plusbog.dk

Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.

DKK 816.00
1

Strength and Conditioning - John Cissik - Bog - Taylor & Francis Ltd - Plusbog.dk

Strength and Conditioning - John Cissik - Bog - Taylor & Francis Ltd - Plusbog.dk

Strength and Conditioning: A Concise Introduction offers a concise but comprehensive overview of training for athletic performance. Introducing essential theory and practical techniques in all of the core areas of athletic training, the book clearly demonstrates how to apply fundamental principles in putting together effective real-world training programs. This book encourages students and professionals to think critically about their work and to adopt an evidence-based approach. It explains the inter-dependence of aspects of training such as needs analysis, assessment, injury, competition level, athlete age, and program design, and it fully explains how those aspects should be integrated. Strength and Conditioning is an accessible, engaging, and reflective introduction to the theory and application of strength and conditioning programs. Including clear step-by-step guidance, suggestions for further reading, and detailed sport-specific examples, this is the perfect primer for any strength and conditioning course or for any professional trainer or coach looking to refresh their professional practice. Included in the second edition are in-depth descriptions of free weights, kettlebells, heavy ropes, speed, agility, horizontal force production training, as well as updated research from the strength and conditioning field. Programming chapters and real-world programs provide examples of how to incorporate all the modern strength and conditioning tools. This is the perfect primer for any strength and conditioning course or for any professional trainer or coach looking to refresh their professional practice.

DKK 993.00
1

Analysis and Design of Machine Elements - Wei Jiang - Bog - John Wiley & Sons Inc - Plusbog.dk

Analysis and Design of Machine Elements - Wei Jiang - Bog - John Wiley & Sons Inc - Plusbog.dk

Incorporating Chinese, European, and International standards and units of measurement, this book presents a classic subject in an up-to-date manner with a strong emphasis on failure analysis and prevention-based machine element design. It presents concepts, principles, data, analyses, procedures, and decision-making techniques necessary to design safe, efficient, and workable machine elements. Design-centric and focused, the book will help students develop the ability to conceptualize designs from written requirements and to translate these design concepts into models and detailed manufacturing drawings. Presents a consistent approach to the design of different machine elements from failure analysis through strength analysis and structural design, which facilitates students’ understanding, learning, and integration of analysis with designFundamental theoretical topics such as mechanics, friction, wear and lubrication, and fluid mechanics are embedded in each chapter to illustrate design in practiceIncludes examples, exercises, review questions, design and practice problems, and CAD examples in each self-contained chapter to enhance learning Analysis and Design of Machine Elements is a design-centric textbook for advanced undergraduates majoring in Mechanical Engineering. Advanced students and engineers specializing in product design, vehicle engineering, power machinery, and engineering will also find it a useful reference and practical guide.

DKK 944.00
1

Machine Learning in Clinical Neuroscience - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning in Clinical Neuroscience - - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience. Authored by a wide array of experienced global machine learning groups, the book is aimed at clinicians who are interested in mastering the basics of machine learning and who wish to get started with their own machine learning research. The volume is structured in two major parts: The first uniquely introduces all major concepts in clinical machine learning from the ground up, and includes step-by-step instructions on how to correctly develop and validate clinical prediction models. It also includes methodological and conceptual foundations of other applications of machine learning in clinical neuroscience, such as applications of machine learning to neuroimaging, natural language processing, and time series analysis. The second part provides an overview of some state-of-the-art applications of these methodologies. The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.

DKK 986.00
1

Science and Practice of Strength Training - Andrew C. Fry - Bog - Human Kinetics Publishers - Plusbog.dk

Science and Practice of Strength Training - Andrew C. Fry - Bog - Human Kinetics Publishers - Plusbog.dk

Science and Practice of Strength Training is a favorite book among strength and conditioning professionals. Now in a third edition, it offers upgraded artwork, updates based on current science, and new information to enhance the practical application of the concepts presented. A new coauthor, Dr. Andrew Fry, joins the already-popular author team of Dr. Vladimir Zatsiorsky and Dr. William Kraemer to make this third edition even better than its predecessors. Together the authors have trained more than 1,000 elite athletes, including Olympic medal winners, world champions, and national record holders. Influenced by both Eastern European and North American perspectives, their experience and expertise are integrated into solid principles, practical insights, and directions based on scientific findings. Science and Practice of Strength Training, Third Edition, shows that there is no single program that works for everyone, at all times and in all conditions. It addresses the complexity of strength training programs while providing straightforward approaches to take under specific circumstances. Those approaches are backed with physiological concepts, ensuring readers gain a full understanding of the science behind the practice of strength training. In addition, the authors provide examples of strength training programs to demonstrate the principles and concepts they explain in the book. The third edition features more detailed artwork and has three new chapters on velocity in the weight room, overtraining and recovery, and athlete monitoring. The book is divided into three parts. Part I focuses on the basis of strength training, detailing basic concepts, task-specific strength, and athlete-specific strength. Part II covers methods of strength training, delving into velocity training, training intensity, timing, exercises used for strength training, injury prevention, overtraining, athlete monitoring, and goal-specific strength training. Part III offers even more practical applications, exploring training for specific populations, including women, young athletes, and senior athletes. The book also includes suggested readings that can further aid readers in developing strength training programs. This expanded and updated coverage of strength training concepts will ground readers in the understanding they need to develop appropriate strength training programs for each person that they work with. Earn continuing education credits/units! A continuing education exam that uses this book is also available. It may be purchased separately or as part of a package that includes both the book and exam.

DKK 894.00
1

Machine Guarding Handbook - Frank R. Spellman - Bog - Government Institutes - Plusbog.dk

Machine Guarding Handbook - Frank R. Spellman - Bog - Government Institutes - Plusbog.dk

Machine Guarding Handbook is a must-have reading for safety engineers and managers in manufacturing and other industrial settings who need to incorporate an effective machine guarding safety program, meet OSHA requirements, and protect workers. It provides a basic overview of OSHA''s requirements, making compliance easier to achieve, thus preventing the risk of worker injury or mutilation and reducing the occurrence of costly penalties and OSHA audits. This 106-page book explores and discusses the hazards of unguarded machines, common safeguarding methods, the safeguarding of machines and robots, the importance of guarding, the varying methods of machine guarding, training, inspection and maintenance, and safeguarding techniques. In addition, it provides both regulatory information and the material required to implement a viable machine guarding program. Special features include a sample lockout/tagout program, checklists, a machine-guarding case study, chapter summaries, and the complete OSHA Machine Guarding and Lockout/Tagout Standards.

DKK 936.00
1

Machine Learning and Wireless Communications - - Bog - Cambridge University Press - Plusbog.dk

Machine Learning and Wireless Communications - - Bog - Cambridge University Press - Plusbog.dk

How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications – an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging machine learning applications at the wireless edge.

DKK 819.00
1

Machine Learning for Neuroscience - Chuck Easttom - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning for Neuroscience - Chuck Easttom - Bog - Taylor & Francis Ltd - Plusbog.dk

This book addresses the growing need for machine learning and data mining in neuroscience. The book offers a basic overview of the neuroscience, machine learning and the required math and programming necessary to develop reliable working models. The material is presented in a easy to follow user-friendly manner and is replete with fully working machine learning code. Machine Learning for Neuroscience: A Systematic Approach, tackles the needs of neuroscience researchers and practitioners that have very little training relevant to machine learning. The first section of the book provides an overview of necessary topics in order to delve into machine learning, including basic linear algebra and Python programming. The second section provides an overview of neuroscience and is directed to the computer science oriented readers. The section covers neuroanatomy and physiology, cellular neuroscience, neurological disorders and computational neuroscience. The third section of the book then delves into how to apply machine learning and data mining to neuroscience and provides coverage of artificial neural networks (ANN), clustering, and anomaly detection. The book contains fully working code examples with downloadable working code. It also contains lab assignments and quizzes, making it appropriate for use as a textbook. The primary audience is neuroscience researchers who need to delve into machine learning, programmers assigned neuroscience related machine learning projects and students studying methods in computational neuroscience.

DKK 929.00
1

Human and Machine Learning - - Bog - Springer International Publishing AG - Plusbog.dk

Human and Machine Learning - - Bog - Springer International Publishing AG - Plusbog.dk

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

DKK 988.00
1

Machine Learning Applications - - Bog - John Wiley & Sons Inc - Plusbog.dk

Machine Learning Applications - - Bog - John Wiley & Sons Inc - Plusbog.dk

Machine Learning Applications Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations Machine Learning Applications discusses methodological advancements of machine learning and deep learning, presents applications in image processing, including face and vehicle detection, image classification, object detection, image segmentation, and delivers real-world applications in healthcare to identify diseases and diagnosis, such as creating smart health records and medical imaging diagnosis, and provides real-world examples, case studies, use cases, and techniques to enable the reader’s active learning. Composed of 13 chapters, this book also introduces real-world applications of machine and deep learning in blockchain technology, cyber security, and climate change. An explanation of AI and robotic applications in mechanical design is also discussed, including robot-assisted surgeries, security, and space exploration. The book describes the importance of each subject area and detail why they are so important to us from a societal and human perspective. Edited by two highly qualified academics and contributed to by established thought leaders in their respective fields, Machine Learning Applications includes information on: Content based medical image retrieval (CBMIR), covering face and vehicle detection, multi-resolution and multisource analysis, manifold and image processing, and morphological processing Smart medicine, including machine learning and artificial intelligence in medicine, risk identification, tailored interventions, and association rules AI and robotics application for transportation and infrastructure (e.g., autonomous cars and smart cities), along with global warming and climate change Identifying diseases and diagnosis, drug discovery and manufacturing, medical imaging diagnosis, personalized medicine, and smart health records With its practical approach to the subject, Machine Learning Applications is an ideal resource for professionals working with smart technologies such as machine and deep learning, AI, IoT, and other wireless communications; it is also highly suitable for professionals working in robotics, computer vision, cyber security and more.

DKK 923.00
1

An Introduction to Machine Learning - Sanjay Churiwala - Bog - Springer Nature Switzerland AG - Plusbog.dk

An Introduction to Machine Learning - Sanjay Churiwala - Bog - Springer Nature Switzerland AG - Plusbog.dk

Just like electricity, Machine Learning will revolutionize our life in many ways - some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive manner. The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with. - Offers a comprehensive introduction to Machine Learning, while not assuming any prior knowledge of the topic; - Provides a complete overview of available techniques and algorithms in conceptual terms, covering various application domains of machine learning; - Not tied to any specific software language or hardware implementation.

DKK 986.00
1

Italian Futurism and the Machine - Katia Pizzi - Bog - Manchester University Press - Plusbog.dk

Italian Futurism and the Machine - Katia Pizzi - Bog - Manchester University Press - Plusbog.dk

This is the first interdisciplinary exploration of machine culture in Italian futurism after the First World War. The machine was a primary concern for the futuristi. As well as being a material tool in the factory it was a social and political agent, an aesthetic emblem, a metonymy of modernity and international circulation and a living symbol of past crafts and technologies. Exploring literature, the visual and performing arts, photography, music and film, the book uses the lens of European machine culture to elucidate the work of a broad set of artists and practitioners, including Censi, Depero, Marinetti, Munari and Prampolini. The machine emerges here as an archaeology of technology in modernity: the time machine of futurism.

DKK 788.00
1

Machine Learning and the City - S Carta - Bog - John Wiley and Sons Ltd - Plusbog.dk

Machine Learning and the City - S Carta - Bog - John Wiley and Sons Ltd - Plusbog.dk

Machine Learning and the City Explore the applications of machine learning and artificial intelligence to the built environment Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and artificial intelligence (AI) in the context of the built environment. Relevant contributions from leading scholars in their respective fields describe the ideas and techniques that underpin ML and AI, how to begin using ML and AI in urban design, and the likely impact of ML and AI on the future of city design and planning. Each section couples theoretical and technical chapters, authoritative references, and concrete examples and projects that illustrate the efficacy and power of machine learning in urban design. The book also includes: An introduction to the probabilistic logic that underpins machine learningComprehensive explorations of the applications of machine learning and artificial intelligence to urban environmentsPractical discussions of the consequences of applied machine learning and the future of urban design Perfect for designers approaching machine learning and AI for the first time, Machine Learning and the City: Applications in Architecture and Urban Design will also earn a place in the libraries of urban planners and engineers involved in urban design.

DKK 804.00
1

Cost-Sensitive Machine Learning - - Bog - Taylor & Francis Inc - Plusbog.dk

Cost-Sensitive Machine Learning - - Bog - Taylor & Francis Inc - Plusbog.dk

In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: - Cost of acquiring training data Cost of data annotation/labeling and cleaning Computational cost for model fitting, validation, and testing Cost of collecting features/attributes for test data Cost of user feedback collection Cost of incorrect prediction/classification Cost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost of learning into the modeling process. The first part of the book presents the theoretical underpinnings of cost-sensitive machine learning. It describes well-established machine learning approaches for reducing data acquisition costs during training as well as approaches for reducing costs when systems must make predictions for new samples. The second part covers real-world applications that effectively trade off different types of costs. These applications not only use traditional machine learning approaches, but they also incorporate cutting-edge research that advances beyond the constraining assumptions by analyzing the application needs from first principles. Spurring further research on several open problems, this volume highlights the often implicit assumptions in machine learning techniques that were not fully understood in the past. The book also illustrates the commercial importance of cost-sensitive machine learning through its coverage of the rapid application developments made by leading companies and academic research labs.

DKK 958.00
1