Artificial Intelligence and Algorithms in Intelligent Systems, Silhavy
Автор: Li Название: Artificial Intelligence with Uncertainty ISBN: 1584889985 ISBN-13(EAN): 9781584889984 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Поставка под заказ.
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.
Описание: Emotions convey significant information through means of natural language analysis, embodiment, and emotional signing. Machines equipped with the ability to experience and interpret emotions perform better in complex environments and share in the emotionally-rich social context.The Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics presents a solid framework for taking human-robot interaction closer to its full potential. Presenting a close look at all the factors involved in modeling emotions and applying a thorough understanding of human emotional recognition to technology, this volume appeals to active researchers in the fields of artificial emotions, artificial intelligence, computing, robotics, philosophy, and psychology, as well as to students interested in the research of synthetic emotions.
Описание: The amount of data used in the business world has been growing at a rapid and exponential rate. These large volumes of data have led not only to the rise of big data analytics, but to the need for improvements and advancements in the management of it.Recent Advances in Intelligent Technologies and Information Systems brings together current practices and innovations in the management and processing of diverse big data sets through technological integration. Focusing on concepts such as semantic technologies, open source tools, and soft computing, this book is an integral reference source for professionals, researchers, and practitioners interested in the application of technological advancements.
Автор: Hand Название: Artificial Intelligence Frontiers in Statistics ISBN: 0412407108 ISBN-13(EAN): 9780412407109 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a summary of recent work on the interface between artificial intelligence and statistics
Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op Название: Artificial Intelligence Perspectives in Intelligent Systems ISBN: 3319336231 ISBN-13(EAN): 9783319336237 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Classification Schema for the Job Shop Scheduling Problem with Transportation Resources: State-Of-The-Art Review.- Narration Framework of Chinese Ancient Fiction Images in the Digital Environment.- Toward Computing Oriented Representation of Sets.- Simplified Version of White Wine Grape Berries Detector Based on SVM and HOG Features.- Automated Product Design and Development Using Evolutionary Ontology.- Energy Conservation Technique on Multiple Radio Incorporated Smart Phones.- Real Time Tasks Scheduling Optimization Using Quantum Inspired Genetic Algorithms.- Fuzzy Energy Aware Real Time Scheduling Targeting Mono-Processor Embedded Architectures.- Total Tardiness Minimization in a Flow Shop With Blocking Using An Iterated Greedy Algorithm.- A Firefly Algorithm to Solve the Manufacturing Cell Design Problem.- Solving the Manufacturing Cell Design Problem Via Invasive Weed Optimization.- VLSI Placement Problem Based on Ant Colony Optimization Algorithm.- Pattern Recognition on the Basis of Boltzmann Machine Model.- Parallel Genetic Algorithm Based on Fuzzy Controller for Design Problems.- To Scheduling Quality of Sets of Precise Form Which Consist of Tasks of Circular And Hyperbolic Type In Grid Systems.- Exploring Performance of Instance Selection Methods in Text Sentiment Classification.- Placement of Vlsi Fragments Based on A Multilayered Approach.- Genetic Algorithm Approach in Optimizing the Energy Intake for Health Purpose.- Formal Verification and Accelerated Inference.- A Hybrid Approach to Automated Music Composition.- Detection of White Grapes in Natural Environment Using Neural Network as A Classifier.- A Concept of Innovative Speech Interfaces With Augmented Reality and Interactive Systems for Controlling Lifting Devices.- Sentiment Analysis of Customer Reviews Using Robust Hierarchical Bidirectional Recurrent Neural Network.- Binary Image Quality Assessment - A Hybrid Approach Based on Binarization Evaluation Methods.- Biogeography-Based Optimization Algorithm for Solving the Set Covering Problem.- Approaches to Tackle the Nesting Problems.- Lozi Map Generated Initial Population in Analytical Programming.- Comparison of Success Rate of Numerical Weather Prediction Models With Forecasting System of Convective Precipitation.- High Speed, Efficient Area, Low Power Novel Modified Booth Encoder Multiplier for Signed-Unsigned Number.- Mining Customer Behavior in Trial Period of a Web Application Usage - Case Study.- In Search of a Semantic Book Search Engine on the Web: Are we there Yet?.- Automated Design and Optimization of Specific Algebras by Genetic Algorithms.- Hybrid Nature-Inspired Algorithm for Symbol Regression Problem.- Albanian Advertising Keyword Generation and Expansion.- A Beam-Search Approach to the Set Covering Problem.- Generating Fuzzy Rules for Constructing Interpretable Classifier of Diabetes Disease In Bangladesh.- A Semantic Annotation Model for Arabic Normative Provisions.- A Touch Sensitive Keypad Layout for Improved Usability of Smartphones for the Blind and Visually Impaired Persons.- A Nature Inspired Intelligent Water Drop Algorithm and its Application for Solving the Set Covering Problem.- Firefly Algorithm to Solve a Project Scheduling Problem.- A Binary Invasive Weed Optimization Algorithm for the Set Covering Problem.- A Simplified Form of Fuzzy Multiset Finite Automata.- Fireworks Explosion can Solve the Set Covering Problem.- A Bi-Objective Cat Swarm Optimization Algorithm for Set Covering Problem.- An Alternative Solution to the Software Project Scheduling Problem.- A Binary Cat for the Set Covering Problem.- Study on the Time Development of Complex Network for Metaheuristic.
Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op Название: Artificial Intelligence Trends in Intelligent Systems ISBN: 3319572601 ISBN-13(EAN): 9783319572604 Издательство: Springer Рейтинг: Цена: 39130.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents new methods and approaches to real-world problems as well as exploratory research that describes novel artificial intelligence applications, including deep learning, neural networks and hybrid algorithms.
Описание: Presents scholarly material on the design, implementation, and integration of intelligent applications across numerous industries. Highlighting a range of innovative topics such as enterprise modelling, remote patient monitoring, and service-oriented architecture, this book is designed for researchers, engineers, computer scientists, academics, students, and professionals.
Описание: Although recommendation systems have become a vital research area in the fields of cognitive science, approximation theory, information retrieval and management sciences, they still require improvements to make recommendation methods more effective and intelligent. <br><br><em>Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods</em> is a comprehensive collection of research on the latest advancements of intelligence techniques and their application to recommendation systems and how this could improve this field of study.
Описание: Cognitively Informed Intelligent Interfaces: Systems Design and Development analyzes well-grounded findings and recent insights on human perception and cognitive abilities and how these findings can and should impact the development and design of applications through the use of intelligent interfaces. Many software and systems developers currently address these cognitive issues haphazardly, and this reference will bring together clear and concise information to inform and assist all professionals interested in intelligent interfaces from designers to end users.
Описание: The 20 revised full conference papers included in this book are organized into sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments.
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