Machine Learning and Its Application to Reacting Flows, Swaminathan
Автор: Swaminathan Название: Machine Learning and Its Application to Reacting Flows ISBN: 3031162501 ISBN-13(EAN): 9783031162503 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: 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: 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: 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.
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: 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.
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: D.J. Smith Название: Achieving Quality Software ISBN: 9401042438 ISBN-13(EAN): 9789401042437 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: To date, such a unifying model does not exist and so hardware, software and human factors are still considered largely as three separate disciplines, albeit with certain interdependencies. This results in the ever-present software design flaws, or `bugs`, which have plagued the software industry from its beginnings.
Machine learning is an incredible technology which we're only just beginning to understand. Those who break into this industry early will reap the rewards as this field grows more and more important to businesses the world over. And the good news is, it's not too late to start
This guide breaks down the fundamentals of machine learning in a way that anyone can understand. With reference to the different kinds of machine learning models, neural networks, and the way these models learn data, you'll find everything you need to know to get started with machine learning in a concise, easy-to-understand way.
Here's what you'll discover inside:
What is Artificial Intelligence Really, and Why is it So Powerful?
Choosing the Right Kind of Machine Learning Model for You
An Introduction to Statistics
Supervised and Unsupervised Learning
The Power of Neural Networks
Reinforcement Learning and Ensemble Modeling
"Random Forests" and Decision Trees
Must-Have Programming Tools
And Much More
Whether you're already a programmer or if you're a complete beginner, now you can break into machine learning in no time Covering all the basics from simple decision trees to the complex decision-making processes which mirror our own brains, Machine Learning for Beginners is your comprehensive introduction to this amazing field
Buy Now to Discover How You Can Get Started With Machine Learning Today
Автор: Hack Samuel Название: Machine Learning for Beginners ISBN: 1801142939 ISBN-13(EAN): 9781801142939 Издательство: Неизвестно Рейтинг: Цена: 25720.00 T Наличие на складе: Нет в наличии. Описание: Are you interested in learning about the amazing capabilities of machine learning, but you're worried it will be just too complicated? Or are you a programmer looking for a solid introduction into this field? Then keep reading
Machine learning is an incredible technology which we're only just beginning to understand. Those who break into this industry early will reap the rewards as this field grows more and more important to businesses the world over. And the good news is, it's not too late to start
This guide breaks down the fundamentals of machine learning in a way that anyone can understand. With reference to the different kinds of machine learning models, neural networks, and the way these models learn data, you'll find everything you need to know to get started with machine learning in a concise, easy-to-understand way.
Here's what you'll discover inside:
What is Artificial Intelligence Really, and Why is it So Powerful?
Choosing the Right Kind of Machine Learning Model for You
An Introduction to Statistics
Supervised and Unsupervised Learning
The Power of Neural Networks
Reinforcement Learning and Ensemble Modeling
"Random Forests" and Decision Trees
Must-Have Programming Tools
And Much More
Whether you're already a programmer or if you're a complete beginner, now you can break into machine learning in no time Covering all the basics from simple decision trees to the complex decision-making processes which mirror our own brains, Machine Learning for Beginners is your comprehensive introduction to this amazing field
Buy Now to Discover How You Can Get Started With Machine Learning Today
Are you interested in learning about the amazing capabilities of machine learning, but you're worried it will be just too complicated? Or are you a programmer looking for a solid introduction into this field?
Your customers must have this guide to understand the hidden secrets of artificial intelligence
Machine learning is an incredible technology which we're only just beginning to understand. Those who break into this industry early will reap the rewards as this field grows more and more important to businesses the world over. And the good news is, it's not too late to start
This guide breaks down the fundamentals of machine learning in a way that anyone can understand. With reference to the different kinds of machine learning models, neural networks, and the way these models learn data, you'll find everything you need to know to get started with machine learning in a concise, easy-to-understand way.
Here's what you'll discover inside:
What is Artificial Intelligence Really, and Why is it So Powerful?
Choosing the Right Kind of Machine Learning Model for You
An Introduction to Statistics
Supervised and Unsupervised Learning
The Power of Neural Networks
Reinforcement Learning and Ensemble Modeling
"Random Forests" and Decision Trees
Must-Have Programming Tools
And Much More
Whether you're already a programmer or if you're a complete beginner, now you can break into machine learning in no time Covering all the basics from simple decision trees to the complex decision-making processes which mirror our own brains, Machine Learning for Beginners is your comprehensive introduction to this amazing field
Buy it NOW and let your customers become to addicted to this incredible book
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