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The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations, Hassanien E.


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Цена: 22359.00р.
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Автор: Hassanien E.   (Э. Хассаниен)
Название:  The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations
Перевод названия: Э. Хассаниен: Сила данных. Стимулирование изменения климата с помощью инноваций в области науки о да
ISBN: 9783031224553
Издательство: Springer
Классификация:

ISBN-10: 3031224558
Обложка/Формат: Hardback
Страницы: 255
Вес: 0.57 кг.
Дата издания: 12.03.2023
Серия: Studies in Big Data
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 76 illustrations, color; 20 illustrations, black and white; x, 255 p. 96 illus., 76 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications.
Дополнительное описание: Part 1: Artificial Intelligence in climate change Applications.- Chapter 1. Artificial Intelligence for Predicting Floods: A Climatic Change Phenomenon.- Chapter 2. Prediction of Climate Change Impact based on Air Flight CO2 Emissions Using Machine Learni



Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
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Цена: 5300.00 р.
Наличие на складе: Есть (3 шт.)
Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

Noise Filtering for Big Data Analytics

Автор: Koushik Ghosh, Souvik Bhattacharyya
Название: Noise Filtering for Big Data Analytics
ISBN: 3110697092 ISBN-13(EAN): 9783110697094
Издательство: Walter de Gruyter
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Цена: 26024.00 р.
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Описание: This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model.

Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information.

This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.

Artificial Intelligence for Signal Processing and Wireless Communication

Автор: Abhinav Sharma et al.
Название: Artificial Intelligence for Signal Processing and Wireless Communication
ISBN: 3110738821 ISBN-13(EAN): 9783110738827
Издательство: Walter de Gruyter
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Цена: 26024.00 р.
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Описание:

Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.

De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.

Cloud Analytics for Industry 4.0

Автор: Gouse Baig Mohammad, S. Shitharth, Sachi Nandan Mohanty, Sirisha Potluri
Название: Cloud Analytics for Industry 4.0
ISBN: 3110771497 ISBN-13(EAN): 9783110771497
Издательство: Walter de Gruyter
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Цена: 28814.00 р.
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Описание: This book provides research on the state-of-the-art methods for data management in the fourth industrial revolution, with particular focus on cloud.based data analytics for digital manufacturing infrastructures. Innovative techniques and methods for secure, flexible and profi table cloud manufacturing will be gathered to present advanced and specialized research in the selected area.

New Opportunities for Sentiment Analysis and Information Processing

Автор: Sharaff Aakanksha, Sinha G. R., Bhatia Surbhi
Название: New Opportunities for Sentiment Analysis and Information Processing
ISBN: 1799880621 ISBN-13(EAN): 9781799880622
Издательство: Mare Nostrum (Eurospan)
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Цена: 29522.00 р.
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Описание: Multinational organizations have begun to realize that sentiment mining plays an important role for decision making and market strategy. The revolutionary growth of digital marketing not only changes the market game, but also brings forth new opportunities for skilled professionals and expertise. Currently, the technologies are rapidly changing, and artificial intelligence (AI) and machine learning are contributing as game-changing technologies. These are not only trending but are also increasingly popular among data scientists and data analysts.

New Opportunities for Sentiment Analysis and Information Processing provides interdisciplinary research in information retrieval and sentiment analysis including studies on extracting sentiments from textual data, sentiment visualization-based dimensionality reduction for multiple features, and deep learning-based multi-domain sentiment extraction. The book also optimizes techniques used for sentiment identification and examines applications of sentiment analysis and emotion detection. Covering such topics as communication networks, natural language processing, and semantic analysis, this book is essential for data scientists, data analysts, IT specialists, scientists, researchers, academicians, and students.

Big Data and Artificial Intelligence for Healthcare Applications

Автор: Saxena Ankur, Brault Nicolas, Rashid Shazia
Название: Big Data and Artificial Intelligence for Healthcare Applications
ISBN: 036755495X ISBN-13(EAN): 9780367554958
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research.

The Natural Language for Artificial Intelligence

Автор: Motta Monte-Serrat Dioneia, Cattani Carlo
Название: The Natural Language for Artificial Intelligence
ISBN: 0128241187 ISBN-13(EAN): 9780128241189
Издательство: Elsevier Science
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Цена: 18191.00 р.
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Описание:

The Natural Language for Artificial Intelligence presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind. The book explains linguistic functioning in the dynamic process of human cognition when forming meaning. After that, an approach to artificial intelligence (AI) is outlined, which works with a more restricted concept of natural language that leads to flaws and ambiguities. Subsequently, the characteristics of natural language and patterns of how it behaves in different branches of science are revealed to indicate ways to improve the development of AI in specific fields of science.

A brief description of the universal structure of language is also presented as an algorithmic model to be followed in the development of AI. Since AI aims to imitate the process of the human mind, the book shows how the cross-fertilization between natural language and AI should be done using the logical-axiomatic structure of natural language adjusted to the logical-mathematical processes of the machine.

Data Protection and Privacy in Healthcare

Автор: Ahmed Elngar, Ambika Pawar, Prathamesh Churi
Название: Data Protection and Privacy in Healthcare
ISBN: 0367501082 ISBN-13(EAN): 9780367501082
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: Healthcare management has rapidly changed over the last few years from disease centered to patient centered. The analysis of healthcare data plays an important role in healthcare management, but the privacy of patient`s records must be of equal concern. This book covers the privacy issues and data protection laws in healthcare industries.

Artificial Intelligence, Fintech, and Financial Inclusion

Автор: Gera, Rajat ; Assadi, Djamchid ; Starnawska, Marze
Название: Artificial Intelligence, Fintech, and Financial Inclusion
ISBN: 0367645688 ISBN-13(EAN): 9780367645687
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Artificial Intelligence and Internet of Things: Applications in Smart Healthcare

Автор: Goyal Lalit Mohan, Saba Tanzila, Rehman Amjad
Название: Artificial Intelligence and Internet of Things: Applications in Smart Healthcare
ISBN: 0367562944 ISBN-13(EAN): 9780367562946
Издательство: Taylor&Francis
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Цена: 25265.00 р.
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Описание: This book reveals the applications of AI & IoT in smart healthcare and medical systems. It also provides core principles, algorithms, protocols, emerging trends, security problems and their findings in e-healthcare services.

Data Mining and Constraint Programming

Автор: Bessiere
Название: Data Mining and Constraint Programming
ISBN: 3319501364 ISBN-13(EAN): 9783319501369
Издательство: Springer
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Цена: 8106.00 р.
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Описание: It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge.

Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments

Автор: Kang Min-wook, Schonfeld Paul
Название: Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments
ISBN: 9813272805 ISBN-13(EAN): 9789813272804
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
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Описание: This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.


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