Описание: This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2018), took place on 13 – 15 December 2018 in Coimbatore, India.
Описание: This book addresses a range of real-world issues including industrial activity, energy management, education, business and health. Today, technology is a part of virtually every human activity, and is used to support, monitor and manage equipment, facilities, commodities, industry, business, and individuals’ health, among others. As technology evolves, new applications, methods and techniques arise, while at the same time citizens’ expectations from technology continue to grow.In order to meet the nearly insatiable demand for new applications, better performance and higher reliability, trustworthiness, security, and power consumption efficiency, engineers must deliver smart innovations, i.e., must develop the best techniques, technologies and services in a way that respects human beings and the environment.With that goal in mind, the key topics addressed in this book are: smart technologies and artificial intelligence, green energy systems, aerospace engineering/robotics and IT, information security and mobile engineering, IT in bio-medical engineering and smart agronomy, smart marketing, management and tourism policy, technology and education, and hydrogen and fuel-cell energy technologies.
Описание: This book provides glimpses into contemporary research in information systems & technology, learning, artificial intelligence (AI), machine learning, and security and how it applies to the real world, but the ideas presented also span the domains of telehealth, computer vision, the role and use of mobile devices, brain–computer interfaces, virtual reality, language and image processing and big data analytics and applications. Great research arises from asking pertinent research questions. This book reveals some of the authors’ “beautiful questions” and how they develop the subsequent “what if” and “how” questions, offering readers food for thought and whetting their appetite for further research by the same authors.
Автор: Ajith Abraham; Bernard de Baets; Mario Koeppen; Be Название: Applied Soft Computing Technologies: The Challenge of Complexity ISBN: 3540316493 ISBN-13(EAN): 9783540316497 Издательство: Springer Рейтинг: Цена: 48774.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents the proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications, held on the World Wide Web in 2004. This title brings together research and developments in soft computing, including evolutionary computation, fuzzy logic, neural networks, and their fusion, and its applications in science and technology.
Автор: Roger Lee Название: Applied Computing & Information Technology ISBN: 3319263943 ISBN-13(EAN): 9783319263946 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited book presents scientific results of the 3nd International Conference on Applied Computing and Information Technology (ACIT 2015) which was held on July 12-16, 2015 in Okayama, Japan.
Автор: Roger Lee Название: Applied Computing and Information Technology ISBN: 3319514717 ISBN-13(EAN): 9783319514710 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Business Sustainability Conceptualization.- A Replicated Study on Relationship between Code Quality and Method Comments.- A Predictive Model for Standardized Test Performance in Michigan Schools.- A Development Technique for Mobile Applications Program.- Identification Method Applications Development using Adapting Component Model.- Development of Guiding Walking Support Device for Visually Impaired People with the GPS.- User Evaluation Prediction Models Based on Conjoint Analysis and Neural Networks for Interactive Evolutionary Computation.- Emotional Video Scene Retrieval Using Multilayer Convolutional Network.- Proactive Approach for the Prevention of DDoS Attacks in Cloud Computing Environments.- Practical Uses of Memory Storage Extension.- How to Build a High Quality Mobile Applications Based on Improved Process.- A New Hybrid Discrete Firefly Algorithm for Solving the Traveling Salesman Problem.
Автор: Arun Kumar Sangaiah; Ajith Abraham; Patrick Siarry Название: Intelligent Decision Support Systems for Sustainable Computing ISBN: 3319531522 ISBN-13(EAN): 9783319531526 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intelligent Decision Support Systems for Sustainable Computing.- A Genetic Algorithm based Efficient Load Distribution Strategy for Handling Large Scale Workloads on Sustainable Computing Systems.- Efficiency in Energy Decision Support Systems using Soft Computing Techniques.- Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things.- Distributed Algorithm with Inherent Intelligence for Multi-Cloud Resource Provisioning.- Parameter Optimization methods based on Computational Intelligence Techniques in Context of Sustainable Computing.- The Maximum Power Point tracking using Fuzzy Logic Algorithm for DC Motor based Conveyor System.- Differential Evolution Based Significant Data Region Identification on Large Storage Drives.- A Fuzzy Based Power Switching Selection for Residential Application to beat Peak Time Power Demand.- Energy Saving Using Memorization: A Novel Energy-Efficient and Fault Tolerant Algorithm.- Analyzing Slavic Textual Sentiment using Deep Convolutional Neural Networks.- Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard.- Analysis of Error Propagation in Safety Critical Software Systems: An Approach based on UGF.- A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques.-
Описание: Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.
Автор: Gerard O`Regan Название: The Innovation in Computing Companion ISBN: 3030026183 ISBN-13(EAN): 9783030026189 Издательство: Springer Рейтинг: Цена: 3912.00 р. Наличие на складе: Поставка под заказ.
Описание: This encyclopedic reference provides a concise and engaging overview of the groundbreaking inventions and conceptual innovations that have shaped the field of computing, and the technology that runs the modern world. Each alphabetically-ordered entry presents a brief account of a pivotal innovation and the great minds behind it, selected from a wide range of diverse topics.Topics and features:Describes the development of Babbage’s computing machines, Leibniz’s binary arithmetic, Boole’s symbolic logic, and Von Neumann architectureReviews a range of historical analog and digital computers, significant mainframes and minicomputers, and pioneering home and personal computersDiscusses a selection of programming languages and operating systems, along with key concepts in software engineering and commercial computingExamines the invention of the transistor, the integrated circuit, and the microprocessorRelates the history of such developments in personal computing as the mouse, the GUI, Atari video games, and Microsoft OfficeSurveys innovations in communications, covering mobile phones, WiFi, the Internet and World Wide Web, e-commerce, smartphones, social media, and GPSPresents coverage of topics on artificial intelligence, the ATM, digital photography and digital music, robotics, and WikipediaContains self-test quizzes and a helpful glossaryThis enjoyable compendium will appeal to the general reader curious about the intellectual milestones that led to the digital age, as well as to the student of computer science seeking a primer on the history of their field.Dr. Gerard O'Regan is a CMMI software process improvement consultant with research interests including software quality and software process improvement, mathematical approaches to software quality, and the history of computing. He is the author of such Springer titles as World of Computing, Concise Guide to Formal Methods, Concise Guide to Software Engineering, and Guide to Discrete Mathematics.
Автор: Luis M. Camarinha-Matos; Ricardo Almeida; Jos? Oli Название: Technological Innovation for Industry and Service Systems ISBN: 303017770X ISBN-13(EAN): 9783030177706 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 10th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2019, held in Costa de Caparica, Portugal, in May 2019. The 36 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and serivce systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative systems, collaboration and resilient systems, decision and optimization systems, assistive systems, smart environments, smart manufacturing, water monitoring systems, communication systems, and energy systems.
Название: Applied Time Series Analysis and Innovative Computing ISBN: 9048187672 ISBN-13(EAN): 9789048187676 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Introduction 1 Applied Time Series Analysis 1.2 Advances in Innovative Computing Paradigms 1.3 Real-World Applications: Innovative Computing Paradigms for Time Series Problems Chapter 2. Applied Time Series Analysis 2.1 Basic Characteristics of Time Series 2.2 Autoregression and ARIMA Models 2.3 Mathematical Models in the Frequency Domain Chapter 3. Advances in Innovative Computing Paradigms 3.1 Research Advances in Computing Algorithms and Databases 3.2 Research Advances in Integration of Hardware, Systems and Networks 3.3 Research Advances in Internet, Web and Grid Computing 3.4 Research Advances in Visualization, Design and Communication 3.5 Advances and Applications for Time Series Problems 3.6 An Illustrative Example of Building an Innovative Computing Algorithm for Simulated Time Series Chapter 4. Real-Word Application I: Developing Innovative Computing Algorithms for Business Time Series 4.1 Business Time Series 4.2 Advances in Business Forecasting 4.3 Developing a Hybrid Intelligent Econometrics Model for Business Forecasting 4.4 Application for Tourism Demand Forecasting 4.5 Application for Cross-Market Financial Forecasting 4.6 Discussions and Further Works Chapter 5. Real-Word Application II: Developing Innovative Computing Algorithms for Biological Time Series 5.1 Biological Time Series 5.2 Advances in Experimental Designs for Microarray Time Series 5.3 Reverse Engineering of Biological Networks 5.4 Models for Biological Network Inference 5.5 Discussions and Further Works Chapter 6. Real-Word Application III: Developing Innovative Computing Algorithms for Astronomical Time Series 6.1 Astronomical Time Series 6.2 Advances and Applications of Innovative Computing Paradigms 6.3 Motivations for Investigating the Quasar Time Series with Innovative Approaches 6.4 Advances in Emerging Methods for Quasar Studies 6.5 Autocorrelations Analysis of Quasars and Clustering Approach 6.6 Discussions and Further Works
Автор: Stephan Wong; Antonio Carlos Beck; Koen Bertels; L Название: Applied Reconfigurable Computing ISBN: 3319562576 ISBN-13(EAN): 9783319562575 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 13th International Symposium on Applied Reconfigurable Computing, ARC 2017, held in Delft, The Netherlands, in April 2017. The 17 full papers and 11 short papers presented in this volume were carefully reviewed and selected from 49 submissions.
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