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Machine Learning Applications for Intelligent Energy Management, Doukas


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Цена: 139750.00T
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Автор: Doukas
Название:  Machine Learning Applications for Intelligent Energy Management
ISBN: 9783031479083
Издательство: Springer
Классификация:



ISBN-10: 3031479084
Обложка/Формат: Hardback
Страницы: 226
Вес: 0.00 кг.
Дата издания: 11.02.2024
Серия: Learning and analytics in intelligent systems
Язык: English
Издание: 1st ed. 2024
Иллюстрации: 107 illustrations, color; 3 illustrations, black and white; xiv, 226 p. 110 illus., 107 illus. in color.
Размер: 235 x 155
Основная тема: Engineering
Подзаголовок: Invited chapters from experts on the energy field
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector. The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints. Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
Дополнительное описание: AI-Powered Transformation and Decentralization of the Energy Ecosystem.- An Explainable AI-based Framework for Supporting Decisions in Energy Management.- The big data value chain for the provision of AI-enabled energy analytics services.- MODULAR BIG DAT


Probabilistic robotics

Автор: Thrun, Sebastian
Название: Probabilistic robotics
ISBN: 0262201623 ISBN-13(EAN): 9780262201629
Издательство: MIT Press
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Цена: 95930.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

An introduction to the techniques and algorithms of the newest field in robotics.

Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.


Workgroups Eassessment: Planning, Implementing and Analysing Frameworks

Автор: Babo Rosalina, Dey Nilanjan, Ashour Amira S.
Название: Workgroups Eassessment: Planning, Implementing and Analysing Frameworks
ISBN: 9811599076 ISBN-13(EAN): 9789811599071
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book was developed during a particular pandemic situation in the whole world which confined people to their homes. This book provides a better understanding about the importance of teams` assessment and collaborative work, as well as the use of collaboration tools and online assessment techniques supported by technology.

Large-Scale Simultaneous Localization and Mapping

Автор: Janusz Bedkowski
Название: Large-Scale Simultaneous Localization and Mapping
ISBN: 9811919712 ISBN-13(EAN): 9789811919718
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is dedicated for engineers and researchers who would like to increase the knowledge in area of mobile mapping systems.

Renewable Energy and AI for Sustainable Development

Автор: Iyer, Sailesh
Название: Renewable Energy and AI for Sustainable Development
ISBN: 1032439491 ISBN-13(EAN): 9781032439495
Издательство: Taylor&Francis
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Цена: 112290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Machine Learning: The Basics

Автор: Jung Alexander
Название: Machine Learning: The Basics
ISBN: 9811681929 ISBN-13(EAN): 9789811681929
Издательство: Springer
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Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods. The book`s three-component approach to ML provides uniform coverage of a wide range of concepts and techniques.

Artificial Superintelligence

Автор: Roman V Yampolskiy
Название: Artificial Superintelligence
ISBN: 1138435775 ISBN-13(EAN): 9781138435773
Издательство: Taylor&Francis
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Цена: 178640.00 T
Наличие на складе: Нет в наличии.
Описание: The first definitive book on researching gay and lesbian market behavior, Untold Millions: The Truth About Gay and Lesbian Consumers in America will help marketers, advertisers, and public relations managers learn how to successfully market and research products for gay and lesbian consumers. Author Grant Lukenbill, a leading consultant on the cultural and motivational aspects of gay and lesbian consumer behavior, provides you with important procedures, research, and guidelines that businesses today are following in order to develop successful marketing strategies to this growing target audience. From this updated and revised edition, you‘ll receive current methods, new data, and sure-fire strategies that will help your company break into this market segment, satisfy intended customers, and boost company sales.Providing you with statistics and data from the first market research study of its kind, the Yankelovich MONITOR‘s Gay and Lesbian Perspective, this book gives you suggestions on what things need to be done within your company before planning your marketing strategies. You‘ll benefit from ideas and suggestions in Untold Millions that will help you create consumer-driven market strategies to gays and lesbians, including:recognizing that there are families and relationships in society that are not heterosexualacknowledging age differences and the needs of particular generationsattracting customers by circulating non-discriminatory hiring policies through press releases and company memos, installing domestic partner health care plans, and identifying cultural reference points to which gays and lesbians can relateremembering that many gays and lesbians may look at business with cynicism and doubt and may be quick to interpret actions as victimizationreferring to the Wall Street project before addressing gay- and lesbian-specific issuesfocusing on the areas of individuality, a need for association, and the need to allevia

Machine Learning for Intelligent Multimedia Analytics

Автор: Kumar, Pardeep, Singh, Amit Kumar
Название: Machine Learning for Intelligent Multimedia Analytics
ISBN: 9811594910 ISBN-13(EAN): 9789811594915
Издательство: Springer
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Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Secure Multimodal Access with 2D and 3D Ears.- Chapter 2. Efficient and Low Overhead Detection of Brain Diseases using Deep Learning based Sparse MRI Image Classification.- Chapter 3. Continual Deep Learning Framework for Medical Media Screening and Archival.- Chapter 4. KannadaRes-NeXt: a Deep Residual Network for Kannada Numeral Recognition.- Chapter 5. Secure Image Transmission in Wireless Network using Conventional Neural Network and DOST.- Chapter 6. Robust General Twin Support Vector Machine with Pinball Loss Function.- Chapter 7. Noise Resilient Thresholding based on Fuzzy Logic and Non-linear Filtering.- Chapter 8. Deep Learning Methods for Audio Events Detection.- Chapter 9. A Framework for Multi-lingual Scene Text Detection using K-means++ and Memetic Algorithms.- Chapter 10. Recent Advancements in Medical Imaging: A Machine Learning Approach.- Chapter 11. Solving Image Processing Critical Problems using Machine Learning.- Chapter 12. Spoken Language Identification of Indian Languages using MFCC Features.- Chapter 13. Performance Evaluation of One-Class Classifiers (OCC) for Damage Detection in Structural Health Monitoring.- Chapter 14. Brain Tumor Classification in MRI Images using Transfer Learning.- Chapter 15. Semantic based Vectorization Technique for Hindi Language.

Artificial Intelligence with Uncertainty

Автор: Li
Название: Artificial Intelligence with Uncertainty
ISBN: 1584889985 ISBN-13(EAN): 9781584889984
Издательство: Taylor&Francis
Рейтинг:
Цена: 117390.00 T
Наличие на складе: Нет в наличии.
Описание: Through mathematical theories, models, and experimental computations, this book explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them. The book also centers on other physical methods for data mining, such as the data field and knowledge discovery state space. In addition, it presents an inverted pendulum example to discuss reasoning and control with uncertain knowledge as well as provides a cognitive physics model to visualize human thinking with hierarchy.

Machine Learning Paradigms

Автор: Dionisios N. Sotiropoulos; George A. Tsihrintzis
Название: Machine Learning Paradigms
ISBN: 3319471929 ISBN-13(EAN): 9783319471921
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The topic of this monograph falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems. Specifically, artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm. Therefore, focus is given on addressing the primary problems of Pattern Recognition by developing Artificial Immune System-based machine learning algorithms for the problems of Clustering, Classification and One-Class Classification. Pattern Classification, in particular, is studied within the context of the Class Imbalance Problem. The main source of inspiration stems from the fact that the Adaptive Immune System constitutes one of the most sophisticated biological systems that is exceptionally evolved in order to continuously address an extremely unbalanced pattern classification problem, namely, the self / non-self discrimination process. The experimental results presented in this monograph involve a wide range of degenerate binary classification problems where the minority class of interest is to be recognized against the vast volume of the majority class of negative patterns. In this context, Artificial Immune Systems are utilized for the development of personalized software as the core mechanism behind the implementation of Recommender Systems.The book will be useful to researchers, practitioners and graduate students dealing with Pattern Recognition and Machine Learning and their applications in Personalized Software and Recommender Systems. It is intended for both the expert/researcher in these fields, as well as for the general reader in the field of Computational Intelligence and, more generally, Computer Science who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.

Human Centered Intelligent Infrastructure

Автор: Dahashi
Название: Human Centered Intelligent Infrastructure
ISBN: 147247144X ISBN-13(EAN): 9781472471444
Издательство: Taylor&Francis
Рейтинг:
Цена: 81650.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book considers the challenges placed on users of current and future condition monitoring systems. Its primary focus is understanding the cognitive processes, including managing alarms, interpreting data, and collaborating with automation.

Man-Machine Interactions 3

Автор: Dr. Aleksandra Gruca; Tadeusz Czach?rski; Stanis?a
Название: Man-Machine Interactions 3
ISBN: 331902308X ISBN-13(EAN): 9783319023083
Издательство: Springer
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Цена: 214280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I Invited Papers.- Part II Human-Computer Interactions.- Part III Robot Control, Embedded and Navigation Systems.- Part IV Bio-Data Analysis and Mining.- Part V Biomedical Signal Processing.- Part VI Image and Sound Processing.- Part VII Decision Support and Expert Systems.- Part VIII Rough and Fuzzy Systems.

Machine Learning in Healthcare Informatics

Автор: Sumeet Dua; U. Rajendra Acharya; Prerna Dua
Название: Machine Learning in Healthcare Informatics
ISBN: 3642400167 ISBN-13(EAN): 9783642400162
Издательство: Springer
Рейтинг:
Цена: 139310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing a unique and integrated compendium of both current and emerging machine-learning paradigms in the vital field of health informatics, this work by leading experts reflects the diversity and complexity of this multi-disciplinary area of research.


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