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Author : Roumen Kountchev (Deceased)
Publisher : Springer Nature
ISBN 13 : 981972144X
Total Pages : 398 pages
Book Rating : 4.8/5 (197 download)
Download or read book AI Methods and Applications in 3D Technologies written by Roumen Kountchev (Deceased) and published by Springer Nature. This book was released on with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : James K Min
Publisher : Academic Press
ISBN 13 : 0128039434
Total Pages : 302 pages
Book Rating : 4.1/5 (28 download)
Download or read book 3D Printing Applications in Cardiovascular Medicine written by James K Min and published by Academic Press. This book was released on 2018-07-04 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D Printing Applications in Cardiovascular Medicine addresses the rapidly growing field of additive fabrication within the medical field, in particular, focusing on cardiovascular medicine. To date, 3D printing of hearts and vascular systems has been largely reserved to anatomic reconstruction with no additional functionalities. However, 3D printing allows for functional, physiologic and bio-engineering of products to enhance diagnosis and treatment of cardiovascular disease. This book contains the state-of-the-art technologies and studies that demonstrate the utility of 3D printing for these purposes. - Addresses the novel technology and cardiac and vascular application of 3D printing - Features case studies and tips for applying 3D technology into clinical practice - Includes an accompanying website that provides 3D examples from cardiovascular clinicians, imagers, computer science and engineering experts
Author : Voulodimos, Athanasios
Publisher : IGI Global
ISBN 13 : 1522552952
Total Pages : 396 pages
Book Rating : 4.5/5 (225 download)
Download or read book Recent Advances in 3D Imaging, Modeling, and Reconstruction written by Voulodimos, Athanasios and published by IGI Global. This book was released on 2020-02-28 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes with many challenges, such as images becoming blurry by atmospheric turbulence, getting snowed with noise, or becoming damaged within foreign regions. It is imperative to remain well-informed with the latest research in this field. Recent Advances in 3D Imaging, Modeling, and Reconstruction is a collection of innovative research on the methods and common techniques of image reconstruction as well as the accuracy of these methods. Featuring coverage on a wide range of topics such as ray casting, holographic techniques, and machine learning, this publication is ideally designed for graphic designers, computer engineers, medical professionals, robotics engineers, city planners, game developers, researchers, academicians, and students.
Author : Gestal Pose, Marcos
Publisher : IGI Global
ISBN 13 : 1615208941
Total Pages : 451 pages
Book Rating : 4.6/5 (152 download)
Download or read book Soft Computing Methods for Practical Environment Solutions: Techniques and Studies written by Gestal Pose, Marcos and published by IGI Global. This book was released on 2010-05-31 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This publication presents a series of practical applications of different Soft Computing techniques to real-world problems, showing the enormous potential of these techniques in solving problems"--Provided by publisher.
Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1609608194
Total Pages : 2174 pages
Book Rating : 4.6/5 (96 download)
Download or read book Machine Learning: Concepts, Methodologies, Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2011-07-31 with total page 2174 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe
Author : Robbie Allen
Publisher : Addison-Wesley Professional
ISBN 13 : 9780135226209
Total Pages : 99998 pages
Book Rating : 4.2/5 (262 download)
Download or read book Deploying Machine Learning written by Robbie Allen and published by Addison-Wesley Professional. This book was released on 2019-05 with total page 99998 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.
Author : Anand Deshpande
Publisher : Packt Publishing Ltd
ISBN 13 : 1788476018
Total Pages : 371 pages
Book Rating : 4.7/5 (884 download)
Download or read book Artificial Intelligence for Big Data written by Anand Deshpande and published by Packt Publishing Ltd. This book was released on 2018-05-22 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.
Author : Deepak M. Kalaskar
Publisher : Woodhead Publishing
ISBN 13 : 0323902200
Total Pages : 424 pages
Book Rating : 4.3/5 (239 download)
Download or read book 3D Printing in Medicine written by Deepak M. Kalaskar and published by Woodhead Publishing. This book was released on 2022-10-18 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D Printing in Medicine, Second Edition examines the rapidly growing market of 3D-printed biomaterials and their clinical applications. With a particular focus on both commercial and premarket tools, the book looks at their applications within medicine and the future outlook for the field. The chapters are written by field experts actively engaged in educational and research activities at the top universities in the world. The earlier chapters cover the fundamentals of 3D printing, including topics such as materials and hardware. The later chapters go on to cover innovative applications within medicine such as computational analysis of 3D printed constructs, personalized 3D printing - including 3D cell and organ printing and the role of AI - with a subsequent look at the applications of high-resolution printing, 3D printing in diagnostics, drug development, 4D printing, and much more. This updated new edition features completely revised content, with additional new chapters covering organs-on-chips, bioprinting regulations and standards, intellectual properties, and socio-ethical implications of organs-on-demand. - Reviews a broad range of biomedical applications of 3D printing biomaterials and technologies - Provides an interdisciplinary look at 3D printing in medicine, bridging the gap between engineering and clinical fields - Includes completely updated content with additional new chapters, covering topics such as organs-on-chips, bioprinting regulations, intellectual properties, medical standards in 3D printing, and more
Author : Albert Tarancón
Publisher : John Wiley & Sons
ISBN 13 : 1119560764
Total Pages : 400 pages
Book Rating : 4.1/5 (195 download)
Download or read book 3D Printing for Energy Applications written by Albert Tarancón and published by John Wiley & Sons. This book was released on 2021-03-03 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D PRINTING FOR ENERGY APPLICATIONS Explore current and future perspectives of 3D printing for the fabrication of high value-added complex devices 3D Printing for Energy Applications delivers an insightful and cutting-edge exploration of the applications of 3D printing to the fabrication of complex devices in the energy sector. The book covers aspects related to additive manufacturing of functional materials with applicability in the energy sector. It reviews both the technology of printable materials and 3D printing strategies itself, and its use in energy devices or systems. Split into three sections, the book covers the 3D printing of functional materials before delving into the 3D printing of energy devices. It closes with printing challenges in the production of complex objects. It also presents an interesting perspective on the future of 3D printing of complex devices. Readers will also benefit from the inclusion of: A thorough introduction to 3D printing of functional materials, including metals, ceramics, and composites An exploration of 3D printing challenges for production of complex objects, including computational design, multimaterials, tailoring AM components, and volumetric additive manufacturing Practical discussions of 3D printing of energy devices, including batteries, supercaps, solar panels, fuel cells, turbomachinery, thermoelectrics, and CCUS Perfect for materials scientists, 3D Printing for Energy Applications will also earn a place in the libraries of graduate students in engineering, chemistry, and material sciences seeking a one-stop reference for current and future perspectives on 3D printing of high value-added complex devices.
Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author : Muhammad Shujaat Mubarik
Publisher : Emerald Group Publishing
ISBN 13 : 1804559687
Total Pages : 201 pages
Book Rating : 4.8/5 (45 download)
Download or read book The Theory, Methods and Application of Managing Digital Supply Chains written by Muhammad Shujaat Mubarik and published by Emerald Group Publishing. This book was released on 2024-05-21 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detailing the diverse aspects of digitalization in supply chain management, Digital Supply Chain Management helps business managers harness the cutting edge, guiding those early in their careers who seek a challenging new path whilst informing top-level managers who have their eye on the future.
Author : Boguslaw Cyganek
Publisher : John Wiley & Sons
ISBN 13 : 1119964474
Total Pages : 485 pages
Book Rating : 4.1/5 (199 download)
Download or read book An Introduction to 3D Computer Vision Techniques and Algorithms written by Boguslaw Cyganek and published by John Wiley & Sons. This book was released on 2011-08-10 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model. This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently: present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; explain scale-space vision, as well as space reconstruction and multiview integration; demonstrate a variety of practical applications for 3D surface imaging and analysis; provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures. An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.
Author : Turab Lookman
Publisher : Springer
ISBN 13 : 3319994654
Total Pages : 266 pages
Book Rating : 4.3/5 (199 download)
Download or read book Materials Discovery and Design written by Turab Lookman and published by Springer. This book was released on 2018-09-22 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.
Author : C. Venkatesh
Publisher : John Wiley & Sons
ISBN 13 : 1119762049
Total Pages : 311 pages
Book Rating : 4.1/5 (197 download)
Download or read book Smart Systems for Industrial Applications written by C. Venkatesh and published by John Wiley & Sons. This book was released on 2022-01-07 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: SMART SYSTEMS FOR INDUSTRIAL APPLICATIONS The prime objective of this book is to provide an insight into the role and advancements of artificial intelligence in electrical systems and future challenges. The book covers a broad range of topics about AI from a multidisciplinary point of view, starting with its history and continuing on to theories about artificial vs. human intelligence, concepts, and regulations concerning AI, human-machine distribution of power and control, delegation of decisions, the social and economic impact of AI, etc. The prominent role that AI plays in society by connecting people through technologies is highlighted in this book. It also covers key aspects of various AI applications in electrical systems in order to enable growth in electrical engineering. The impact that AI has on social and economic factors is also examined from various perspectives. Moreover, many intriguing aspects of AI techniques in different domains are covered such as e-learning, healthcare, smart grid, virtual assistance, etc. Audience The book will be of interest to researchers and postgraduate students in artificial intelligence, electrical and electronic engineering, as well as those engineers working in the application areas such as healthcare, energy systems, education, and others.
Author : Miao, Fengchun
Publisher : UNESCO Publishing
ISBN 13 : 9231004476
Total Pages : 50 pages
Book Rating : 4.2/5 (31 download)
Download or read book AI and education written by Miao, Fengchun and published by UNESCO Publishing. This book was released on 2021-04-08 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
Author : Loveleen Gaur
Publisher : CRC Press
ISBN 13 : 100046301X
Total Pages : 220 pages
Book Rating : 4.0/5 (4 download)
Download or read book Advanced AI Techniques and Applications in Bioinformatics written by Loveleen Gaur and published by CRC Press. This book was released on 2021-10-17 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers
Author : Paul Madsen
Publisher : Society for Mining, Metallurgy & Exploration
ISBN 13 : 0873355016
Total Pages : 946 pages
Book Rating : 4.8/5 (733 download)
Download or read book North American Tunneling 2022 Proceedings written by Paul Madsen and published by Society for Mining, Metallurgy & Exploration. This book was released on 2022-06-03 with total page 946 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your timely source for more cost-effective and less disruptive solutions to your underground infrastructure needs. The North American Tunneling Conference is the premier biennial tunneling event for North America, bringing together the brightest, most resourceful, and innovative minds in the tunneling industry. It underscores the important role that the industry plans in the development of underground spaces, transportation and conveyance systems, and other forms of sustainable underground infrastructure. With every conference, the number of attendees and breadth of topics grows. The authors—expert and leaders in the industry—share the latest case histories, expertise, lessons learned, and real-world applications from around the globe. Crafted from a collection of 92 papers presented at the conference, this book takes you deep inside the projects. It includes sections on technology, planning, design, and case histories.
