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Recent Trends and Future Technology in Applied Intelligence, Mouhoub


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Цена: 14813.00р.
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Автор: Mouhoub
Название:  Recent Trends and Future Technology in Applied Intelligence
ISBN: 9783319920573
Издательство: Springer
Классификация:





ISBN-10: 331992057X
Обложка/Формат: Paperback
Страницы: 913
Вес: 1.41 кг.
Дата издания: 2018
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 231 illustrations, black and white; xviii, 862 p. 231 illus.
Размер: 234 x 156 x 47
Читательская аудитория: Professional & vocational
Основная тема: Artificial Intelligence (incl. Robotics)
Подзаголовок: 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Montreal, QC, Canada, June 25-28, 2018, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии


Emerging Trends and Applications in Cognitive Computing

Автор: MALLICK & BORAH
Название: Emerging Trends and Applications in Cognitive Computing
ISBN: 1522557938 ISBN-13(EAN): 9781522557937
Издательство: Mare Nostrum (Eurospan)
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Цена: 26961.00 р.
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Описание: Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making.Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.

Optoelectronics in Machine Vision-Based Theories and Applications

Автор: Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, Julio Cesar Rodriguez-Quinonez
Название: Optoelectronics in Machine Vision-Based Theories and Applications
ISBN: 1522557512 ISBN-13(EAN): 9781522557517
Издательство: Mare Nostrum (Eurospan)
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Цена: 28215.00 р.
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Описание: Sensor technologies play a large part in modern life, as they are present in things like security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services.Optoelectronics in Machine Vision-Based Theories and Applications provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. It also covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring. This publication is a vital reference source for engineers, technology developers, academicians, researchers, and advanced-level students seeking emerging research on sensor technologies and machine vision.

Ambient Intelligence and Future Trends -

Автор: Juan Manuel Corchado Rodr?guez; Juan Carlos August
Название: Ambient Intelligence and Future Trends -
ISBN: 3642132677 ISBN-13(EAN): 9783642132674
Издательство: Springer
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Цена: 27950.00 р.
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Описание: ISAmI is the International Symposium on Ambient Intelligence, aiming to bring together researchers from various disciplines that constitute the scientific field of Ambient Intelligence to discuss the results from experiences in building AmI systems. This volume presents the papers that have been accepted in this first edition.

Robot Intelligence Technology and Applications 4

Автор: Kim
Название: Robot Intelligence Technology and Applications 4
ISBN: 331931291X ISBN-13(EAN): 9783319312910
Издательство: Springer
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Цена: 41925.00 р.
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Описание: This book covers allaspects of robot intelligence from perception at sensor level and reasoning atcognitive level to behavior planning at execution level for each low levelsegment of the machine. It also presents the technologies for cognitivereasoning, social interaction with humans, behavior generation, ability tocooperate with other robots, ambience awareness, and an artificial genome thatcan be passed on to other robots. These technologies are to materializecognitive intelligence, social intelligence, behavioral intelligence,collective intelligence, ambient intelligence and genetic intelligence. Thebook aims at serving researchers and practitioners with a timely disseminationof the recent progress on robot intelligence technology and its applications,based on a collection of papers presented at the 4th International Conferenceon Robot Intelligence Technology and Applications (RiTA), held in Bucheon, Korea, December 14 - 16, 2015. For better readability, this edition has the totalof 49 articles grouped into 3 chapters: ChapterI: Ambient, Behavioral, Cognitive, Collective, and Social Robot Intelligence,Chapter II: Computational Intelligence and Intelligent Design for AdvancedRobotics, Chapter III: Applications of Robot Intelligence Technology .

Recent Trends in Applied Artificial Intelligence

Автор: Ali Moonis
Название: Recent Trends in Applied Artificial Intelligence
ISBN: 3642385761 ISBN-13(EAN): 9783642385766
Издательство: Springer
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Цена: 12159.00 р.
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Описание: Auctions and Negotiation.- Developing Online Double Auction Mechanism for Fishery Markets.- A Mediator-Based Agent Negotiation Protocol for Utilities That Change with Time.- Cognitive Modeling.- Learning Parameters for a Cognitive Model on Situation Awareness.- Fostering Social Interaction of Home-Bound Elderly People: The EasyReach System.- Cooperative Games with Incomplete Information among Secondary Base Stations in Cognitive Radio Networks.- Crowd Behavior Modeling.- Ant Colony Optimisation for Planning Safe Escape Routes.- A Spatio-Temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning.- Predicting Human Behavior in Crowds: Cognitive Modeling versus Neural Networks.- Distributed Systems and Networks.- Analyzing Grid Log Data with Affinity Propagation.- Using Ising Model to Study Distributed Systems Processing Capability.- Evolutionary Algorithms.- Computing the Consensus Permutation in Mallows Distribution by Using Genetic Algorithms.- A Hybrid Genetic Algorithm for the Maximum Satisfiability Problem.- Knowledge Representation and Reasoning.- An Object Representation Model Based on the Mechanism of Visual Perception.- Web Metadata Extraction and Semantic Indexing for Learning Objects Extraction.- Pattern Recognition.- Approximately Recurring Motif Discovery Using Shift Density Estimation.- An Online Anomalous Time Series Detection Algorithm for Univariate Data Streams.-Assisting Web Site Navigation through Web Usage Patterns.- Planning.- GRASPing Examination Board Assignments for University-Entrance Exams.- A Greedy Look-Ahead Heuristic for the Container Relocation Problem.- Integrating Planning and Scheduling in the ISS Fluid Science Laboratory Domain.- Efficient Identification of Energy-Optimal Switching and Operating Sequences for Modular Factory Automation Systems.- Problem Solving.- The Two-Dimensional Vector Packing Problem with Courier Cost Structure.- Penguins Search Optimization Algorithm (PeSOA).- A Bidirectional Building Approach for the 2D Guillotine Knapsack-Packing Problem.- Increasing the Antibandwidth of Sparse Matrices by a Genetic Algorithm.-A New GA-Based Method for Temporal Constraint Problems.- On Using the Theory of Regular Functions to Prove the Optimality of the Continuous Pursuit Learning Automaton.- Robotics.- Online Exploratory Behavior Acquisition of Mobile Robot Based on Reinforcement Learning.- Improved Sound Source Localization and Front-Back Disambiguation for Humanoid Robots with Two Ears.- Designing and Optimization of Omni-Directional Kick for Bipedal Robots.- Aerial Service Vehicles for Industrial Inspection: Task Decomposition and Plan Execution.-A BSO-Based Algorithm for Multi-robot and Multi-target Search.- Text Mining.- Economic Sentiment: Text-Based Prediction of Stock Price Movements with Machine Learning and WordNet.- Feature Extraction Using Single Variable Classifiers for Binary Text Classification.- An Approach to Automated Learning of Conceptual Graphs from Text.- Semi-supervised Latent Dirichlet Allocation for Multi-label Text Classification.- Special Session on Advances in Recommender Systems.- Recommending Interest Groups to Social Media Users by Incorporating Heterogeneous Resources.- Recent Advances in Recommendation Systems for Software Engineering.- WE-DECIDE: A Decision Support Environment for Groups of Users.- Special Session on Business Process Intelligence Logic-Based Incremental Process Mining in Smart Environments.- Information Mining Processes Based on Intelligent Systems.- Customer Churn Detection System: Identifying Customers Who Wish to Leave a Merchant.- Special Session on Decision Support for Safety related Systems Hazard Identification of the Offshore Three-Phase Separation Process Based on Multilevel Flow Modeling and HAZOP.- Multilevel Flow Modeling Based Decision Support System and Its Task Organization.- Simulation-Based Fault Propagation Analysis - Application on Hydrogen Production Plant.- Aut

Applied Computational Intelligence in Engineering and Information Technology

Автор: Radu-Emil Precup; Szilveszter Kov?cs; Stefan Preit
Название: Applied Computational Intelligence in Engineering and Information Technology
ISBN: 3642443931 ISBN-13(EAN): 9783642443930
Издательство: Springer
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Цена: 23508.00 р.
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Описание: With extended papers from the sixth SACI meeting in Romania in 2011, this book bridges the divide between theory and practice, showing how researchers and technicians are deploying the fast-evolving capabilities of today`s computing methodologies.

Artificial Intelligence and Conservation

Автор: Fei Fang, Milind Tambe, Bistra Dilkina, Andrew J. Plumptre
Название: Artificial Intelligence and Conservation
ISBN: 1316512924 ISBN-13(EAN): 9781316512920
Издательство: Cambridge Academ
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Цена: 18216.00 р.
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Описание: This book explains how artificial intelligence (AI) methods can be used to aid the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It offers an overview plus in-depth discussion of research advances, field tests and real-world deployments, and will be of use to artificial intelligence researchers and conservation professionals.

Artificial Intelligence and Conservation

Автор: Fei Fang, Milind Tambe, Bistra Dilkina, Andrew J. Plumptre
Название: Artificial Intelligence and Conservation
ISBN: 1108464734 ISBN-13(EAN): 9781108464734
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: This book explains how artificial intelligence (AI) methods can be used to aid the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It offers an overview plus in-depth discussion of research advances, field tests and real-world deployments, and will be of use to artificial intelligence researchers and conservation professionals.

Dynamic Fuzzy Machine Learning

Автор: Li, Fanzhang / Zhang, Li / Zhang, Zhao
Название: Dynamic Fuzzy Machine Learning
ISBN: 3110518708 ISBN-13(EAN): 9783110518702
Издательство: Walter de Gruyter
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Цена: 22439.00 р.
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Описание: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.

Applied computational intelligence and soft computing in engineering /

Автор: Saifullah Khalid
Название: Applied computational intelligence and soft computing in engineering /
ISBN: 1522531297 ISBN-13(EAN): 9781522531296
Издательство: Turpin
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Цена: 37884.00 р.
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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.

Computational Intelligence for Technology Enhanced Learning

Автор: Fatos Xhafa; Santi Caball?; Ajith Abraham; Thanasi
Название: Computational Intelligence for Technology Enhanced Learning
ISBN: 3642262503 ISBN-13(EAN): 9783642262500
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book records advances in using intelligent techniques for technology enhanced learning, and development of e-Learning applications based on such techniques and supported by technology. Covers adaptive learning and data mining techniques, among others.

Computational Intelligence for Technology Enhanced Learning

Автор: Fatos Xhafa; Santi Caball?; Ajith Abraham; Thanasi
Название: Computational Intelligence for Technology Enhanced Learning
ISBN: 3642112234 ISBN-13(EAN): 9783642112232
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book records advances in using intelligent techniques for technology enhanced learning, and development of e-Learning applications based on such techniques and supported by technology. Covers adaptive learning and data mining techniques, among others.


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