Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy, Sahni
Автор: Umamaheswari, K. Priya, V. Название: Computational techniques for text summarization based on cognitive intelligence ISBN: 1032392827 ISBN-13(EAN): 9781032392820 Издательство: Taylor&Francis Рейтинг: Цена: 96970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book is concerned with contemporary methodologies used for automatic text summarization. It proposes interesting approaches to solve well-known problems on text summarization using computational intelligence (CI) techniques including cognitive approaches. A better understanding of the cognitive basis of the summarization task is still an open research issue; an extent of its use in text summarization is highlighted for further exploration. With the ever-growing text, people in research have little time to spare for extensive reading, where summarized information helps for a better understanding of the context at a shorter time.This book helps students and researchers to automatically summarize the text documents in an efficient and effective way. The computational approaches and the research techniques presented guides to achieve text summarization at ease. The summarized text generated supports readers to learn the context or the domain at a quicker pace. The book is presented with reasonable amount of illustrations and examples convenient for the readers to understand and implement for their use. It is not to make readers understand what text summarization is, but for people to perform text summarization using various approaches. This also describes measures that can help to evaluate, determine, and explore the best possibilities for text summarization to analyse and use for any specific purpose. The illustration is based on social media and healthcare domain, which shows the possibilities to work with any domain for summarization. The new approach for text summarization based on cognitive intelligence is presented for further exploration in the field.
Автор: Priyanka Harjule, Azizur Rahman, Basant Название: Computational Statistical Methodologies and Modeling for Artificial Intelligence ISBN: 1032170808 ISBN-13(EAN): 9781032170800 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence.
It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering. The key features of this book are:Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial IntelligenceExamines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applicationsExamines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionalsProvides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fieldsIntegrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence
Автор: Minrui Fei; Chen Peng; Zhou Su; Yang Song; Qinglon Название: Computational Intelligence, Networked Systems and Their Applications ISBN: 366245260X ISBN-13(EAN): 9783662452608 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the second part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, held in Shanghai, China, in September 2014.
Автор: Hatti Название: Advanced Computational Techniques for Renewable Energy Systems ISBN: 3031212150 ISBN-13(EAN): 9783031212154 Издательство: Springer Рейтинг: Цена: 214280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.
Автор: Yuri Avramenko; Andrzej Kraslawski Название: Case Based Design ISBN: 3540757058 ISBN-13(EAN): 9783540757054 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offers a treatment of the essence of the case-based reasoning strategy and case-based design dwelling upon the algorithmic facet of the paradigm. This book provides an applied research framework by showing how this development can be effectively utilized in the real word complicated environment of process engineering.
Автор: Hsiang-Cheh Huang Название: Information Hiding and Applications ISBN: 3642023347 ISBN-13(EAN): 9783642023347 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Information hiding is an area of great interest due to its applications in copyright protection of images, data, passport control, CDs, DVDs, videos and so on. This book presents a sample of research results from key researchers. It is suitable for application engineers, researchers, graduate students and professors.
Автор: Tina Yu; Lawrence Davis; Cem Baydar; Rajkumar Roy Название: Evolutionary Computation in Practice ISBN: 3540757708 ISBN-13(EAN): 9783540757702 Издательство: Springer Рейтинг: Цена: 174150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A title that is loaded with examples in which computer scientists and engineers have used evolutionary computation - programs that mimic natural evolution - to solve many real-world problems. They aren`t abstract, mathematically intensive papers, but accounts of solving important problems, including tips on how to avoid common pitfalls.
Автор: Hiroyuki Yoshida; Ashlesha Jain; Ajita Ichalkaranj Название: Advanced Computational Intelligence Paradigms in Healthcare - 1 ISBN: 3540475230 ISBN-13(EAN): 9783540475231 Издательство: Springer Рейтинг: Цена: 174150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: information model for management of clinical content; state-based model for management of type II diabetes; multi-agent systems for the management of community healthcare;
Автор: Yen-Wei Chen; Lakhmi C. Jain Название: Subspace Methods for Pattern Recognition in Intelligent Environment ISBN: 3642548504 ISBN-13(EAN): 9783642548505 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment.
Автор: Hatti Название: Artificial Intelligence in Renewable Energetic Systems ISBN: 3319731912 ISBN-13(EAN): 9783319731919 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows.
Автор: Tetyana Baydyk; Ernst Kussul; Donald C. Wunsch II Название: Intelligent Automation in Renewable Energy ISBN: 3030022358 ISBN-13(EAN): 9783030022358 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition.The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.
THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE
The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research findings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the field and create a broad knowledge about the most recent research.
Series Editor
Dr. Siddhartha Bhattacharyya, CHRIST (Deemed to be University), Bangalore, India
Editorial Advisory Board
Dr. Elizabeth Behrman, Wichita State University, Kansas, USA
Dr. Goran Klepac
Dr. Leo Mrsic, Algebra University College, Croatia
Dr. Aboul Ella Hassanien, Cairo University, Egypt
Dr. Jan Platos, VSB-Technical University of Ostrava, Czech Republic
Dr. Xiao-Zhi Gao, University of Eastern Finland, Finland
Dr. Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil
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