Machine Learning and Its Application to Reacting Flows, Swaminathan
Автор: Swaminathan Название: Machine Learning and Its Application to Reacting Flows ISBN: 3031162471 ISBN-13(EAN): 9783031162473 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This open access book introduces and explains machine learning (ML) algorithms and techniques developed for statistical inferences on a complex process or system and their applications to simulations of chemically reacting turbulent flows. These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. Whether this is practical or not is entirely a different question, and an answer to this question depends on the respondent. However, a pragmatic analysis suggests that the combustion share to TPES is likely to be more than 70% even by 2070. Hence, it will be prudent to take advantage of ML techniques to improve combustion sciences and technologies so that efficient and “greener” combustion systems that are friendlier to the environment can be designed. The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges. The required mathematical equations and backgrounds are discussed with ample references for readers to find further detail if they wish. This book is unique since there is not any book with similar coverage of topics, ranging from big data analysis and machine learning algorithm to their applications for combustion science and system design for energy generation.
Автор: Ikeuchi Katsushi, Matsushita Yasuyuki, Sagawa Ryusuke Название: Active Lighting and Its Application for Computer Vision: 40 Years of History of Active Lighting Techniques ISBN: 3030565769 ISBN-13(EAN): 9783030565763 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes active illumination techniques in computer vision. The final part shows how such active illumination techniques can be applied to various domains, describing the issue to be overcome by active illumination techniques and the advantages of using these techniques.
Автор: Ekaterina Nagnibeda; Elena Kustova Название: Non-Equilibrium Reacting Gas Flows ISBN: 364210178X ISBN-13(EAN): 9783642101786 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume develops the kinetic theory of transport phenomena and relaxation processes in the flows of reacting gas mixtures. The theory is applied to the modeling of non-equilibrium flows behind strong shock waves, in the boundary layer, and in nozzles.
Автор: Khan Mohammad Ayoub, Khan Rijwan, Ansari Mohammad Aslam Название: Application of Machine Learning in Agriculture ISBN: 0323905501 ISBN-13(EAN): 9780323905503 Издательство: Elsevier Science Рейтинг: Цена: 151590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This beautifully illustrated book is the first to include translations of over 200 of the texts recovered from the workmen`s village of Deir el-Medina, a uniquely rich source of information about daily life in Ancient Egypt. Each translation is introduced by a commentary that provides the context and explains the contribution the text makes to the understanding of Egyptian society in 1539-1075 BC.
Автор: Ehteram Название: Application of Machine Learning Models in Agricultural and Meteorological Sciences ISBN: 9811997322 ISBN-13(EAN): 9789811997327 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.
Автор: Antonik Название: Application of FPGA to Real?Time Machine Learning ISBN: 3319910523 ISBN-13(EAN): 9783319910529 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Introduction.- Online Training of a Photonic Reservoir Computer.- Backpropagation with Photonics.- Photonic Reservoir Computer with Output Feedback.- Towards Online-Trained Analogue Readout Layer.- Real-Time Automated Tissue Characterisation for Intravascular OCT Scans.- Conclusion and Perspectives.
Автор: Aboul Ella Hassanien Название: Machine Learning Paradigms: Theory and Application ISBN: 3030023567 ISBN-13(EAN): 9783030023560 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms.
The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.
Название: Machine learning, blockchain, and cyber security in smart environments ISBN: 1032146397 ISBN-13(EAN): 9781032146393 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a deep insight into the recent techniques which form the backbone of smart environment and addresses the vulnerabilities that cause hindrance for the real-world implementation. It focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security.
Автор: Nokeri, Tshepo Chris Название: Artificial intelligence in medical sciences and psychology ISBN: 1484282167 ISBN-13(EAN): 9781484282168 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Get started with artificial intelligence for medical sciences and psychology. This book will help healthcare professionals and technologists solve problems using machine learning methods, computer vision, and natural language processing (NLP) techniques. The book covers ways to use neural networks to classify patients with diseases. You will know how to apply computer vision techniques and convolutional neural networks (CNNs) to segment diseases such as cancer (e.g., skin, breast, and brain cancer) and pneumonia. The hidden Markov decision making process is presented to help you identify hidden states of time-dependent data. In addition, it shows how NLP techniques are used in medical records classification. This book is suitable for experienced practitioners in varying medical specialties (neurology, virology, radiology, oncology, and more) who want to learn Python programming to help them work efficiently. It is also intended for data scientists, machine learning engineers, medical students, and researchers. What You Will Learn * Apply artificial neural networks when modelling medical data * Know the standard method for Markov decision making and medical data simulation * Understand survival analysis methods for investigating data from a clinical trial * Understand medical record categorization * Measure personality differences using psychological models Who This Book Is For Machine learning engineers and software engineers working on healthcare-related projects involving AI, including healthcare professionals interested in knowing how AI can improve their work setting
Автор: Nazari-Heris Morteza, Asadi Somayeh, Mohammadi-Ivatloo Behnam Название: Application of Machine Learning and Deep Learning Methods to Power System Problems ISBN: 3030776956 ISBN-13(EAN): 9783030776954 Издательство: Springer Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems.
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