The Captcha: Perspectives and Challenges: Perspectives and Challenges in Artificial Intelligence, Brodic Darko, Amelio Alessia
Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op Название: Artificial Intelligence Perspectives and Applications ISBN: 331918475X ISBN-13(EAN): 9783319184753 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Component Applications in Heterogeneous Distributed Systems.- A Cellular Automaton Based Approach For Real Time Embedded Systems Scheduling Problem Resolution.- Ways of Increasing of the Effectiveness of the Making Decisions by Intelligent Systems Using Fuzzy Inference.- A Hybrid Model Based on Mutual Information and Support Vector Machine for Automatic Image Annotation.- Pose Estimation Using Local Binary Patterns for Face Recognition.- The Bioinspired Algorithm of Electronic Computing Equipment Schemes Elements Placement.- Informational System to Support the Design Process of Complex Equipment Based on the Mechanism of Manipulation And Management for Three-Dimensional Objects Models.- Combined Method of Analyzing Anaphoric Pronouns and Inter-sentential Relationships between Transitive Verbs for Enhancing Pairs of Sentences Summarization.- Hierarchical Approach for Vlsi Components Placement.- Pre-processing, Repairing and Transfer Functions Can Help Binary Electromagnetism-like Algorithms.- Heuristic Feasibility and Preprocessing for a Set Covering Solver Based on Firefly Optimization.- Self-Learning of The Containers Service Coordinator Agent in Multi-Agent Automation Environment of Transit Cargo Terminal.- On The Performance of Ensemble Learning for Automated Diagnosis of Breast Cancer.- Predicting Financial Distress of Banks using Random Subspace Ensembles of Support Vector Machines.- Interdependence of Text Mining Quality and the Input Data Preprocessing.- Using Fuzzy Logic Controller in Ant Colony Optimization.- WSM Tuning in Autonomous Search via Gravitational Search Algorithms Enumeration Strategies for Solving Constraint Satisfaction Problems: A Performance Evaluation.-Evaluation of the Accuracy of Numerical Weather Prediction Models.- Design of Fuzzy Controller for Hexacopter Position Control.- Implementation of Two Stages k-means Algorithm to Apply a Payment System Provider framework in Banking Systems.-An Artificial Intelligence Approach to Nutritional Meal Planning for Cancer Patients.- E2TS: Energy Efficient Time Synchronization Technique in Large Scale Wireless Sensor Network.- A Brief Survey on Event Prediction Methods in Time Series.- Integrating Grid Template Patterns and MultipleCommittees of Neural Networks in Forex Market.- A Comparison of Handwriting Grip Kinetics Associated with Authentic and Well-Practiced Bogus Signatures.- A Timetabling Applied Case Solved with ACO.- Visualization of Semantic Data.- Lexical Similarity Based Query-Focused Summarization Using Artificial Immune Systems.- A Novel Similarity Measure for Clustering CustomerTransactions Using Ternary Sequence Vector.- On the value of parameters of Use Case Points method.- Intelligent Integrated Decision Support System of the Territory Management.- Contextual Soft Classification Approaches for Crops Identification Using Multi-Sensory Remote Sensing Data: Machine Learning Perspective for Satellite Images.- Using the Deterministic Chaos in Variable Mode of Operation of Block Ciphers.- An Initial Study on the New Adaptive Approach for Multi-Chaotic Differential Evolution.
Описание: Interest in the enigma of the human mind is as old as recorded history. Methods for studying the human mind, which have advanced alongside of technology, should also be approached from the perspective of semiotics—the science of signs and sign systems. Semiotic Perspectives in Evolutionary Psychology, Artificial Intelligence, and the Study of Mind: Emerging Research and Opportunities is an essential scholarly publication that revisits key concepts in the study of mind today, especially as it relates to the concept of intelligence and its modeling in artificial and augmented paradigms. Additionally, the book aims to penetrate the qualities of natural intelligence based on semiotic theory including the role of the imagination and inferential guesswork in creating knowledge and will show how a semiotic approach to intelligence can shed light on the dangers inherent in post-humanism and its nonchalant view that human intelligence is not unique but just another algorithm. Featuring a wide range of topics including neuroscience, sociobiology, and evolutionary psychology, this book is ideal for academicians, professionals, researchers, and students working in AI, psychology, cognitive sciences, semiotics, and culture studies.
Автор: Joao M.F. Rodrigues, Pedro J.S. Cardoso, Janio Monteiro, Celia M.Q. Ramos Название: Smart Systems Design, Applications, and Challenges ISBN: 1799821137 ISBN-13(EAN): 9781799821137 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 24948.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Smart systems when connected to artificial intelligence (AI) are still closely associated with some popular misconceptions that cause the general public to either have unrealistic fears about AI or to expect too much about how it will change our workplace and life in general. It is important to show that such fears are unfounded, and that new trends, technologies, and smart systems will be able to improve the way we live, benefiting society without replacing humans in their core activities.
Smart Systems Design, Applications, and Challenges provides emerging research that presents state-of-the-art technologies and available systems in the domains of smart systems and AI and explains solutions from an augmented intelligence perspective, showing that these technologies can be used to benefit, instead of replace, humans by augmenting the information and actions of their daily lives. The book addresses all smart systems that incorporate functions of sensing, actuation, and control in order to describe and analyze a situation and make decisions based on the available data in a predictive or adaptive manner. Highlighting a broad range of topics such as business intelligence, cloud computing, and autonomous vehicles, this book is ideally designed for engineers, investigators, IT professionals, researchers, developers, data analysts, professors, and students.
Описание: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.
Автор: Moonis Ali; Tibor Bosse; Koen V. Hindriks; Mark Ho Название: Contemporary Challenges and Solutions in Applied Artificial Intelligence ISBN: 3319032755 ISBN-13(EAN): 9783319032757 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: While the early interest in AI was mainly triggered by the desire to develop artifacts that show the same intelligent behavior as humans, nowadays scientists have realized that research in AI involves a multitude of separate challenges, besides the traditional goal to replicate human intelligence.
Описание: Presents research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. The book highlights a wide range of topics such as video segmentation, object recognition, and 3D modelling.
Описание: This book discusses the CAPTCHA (completely automated public Turing test to tell computers and humans apart), an artificial-intelligence-based test commonly used on websites for preventing security attacks, covering its foundations, the main trends and challenges, as well as innovative features and research aspects.
Описание: Immersive technology as an umbrella concept consists of multiple emerging technologies including augmented reality (AR), virtual reality (VR), gaming, simulation, and 3D printing. Research has shown immersive technology provides unique learning opportunities for experiential learning, multiple perspectives, and knowledge transfer. Due to its role in influencing learners' cognitive and affective processes, it is shown to have great potential in changing the educational landscape in the decades to come. However, there is a lack of general cognitive and affective theoretical framework to guide the diverse aspects of immersive technology research. In fact, lacking the cognitive and affective theoretical framework has begun to hamper the design and application of immersive technology in schools and related professional training.
Cognitive and Affective Perspectives on Immersive Technology in Education is an essential research book that explores methods and implications for the design and implementation of upcoming immersive technologies in pedagogical and professional development settings. The book includes case studies that highlight the cognitive and affective processes in immersive technology as well as the successful applications of immersive technology in education. Featuring a wide range of topics such as curriculum design, K-12 education, and mobile learning, this book is ideal for academicians, educators, policymakers, curriculum developers, instructional designers, administrators, researchers, and students.
Автор: Roberto Serra; Rita Cucchiara Название: AI*IA 2009: Emergent Perspectives in Artificial Intelligence ISBN: 3642102905 ISBN-13(EAN): 9783642102905 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 11th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2009, held in Reggio Emilia, Italy, in December 2009.
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.
Описание: This is a collection of research provided by academics and scholars aiming to introduce important advances in areas such as artificial intelligence, evolutionary computation, neural networks, and much more. This scholarly piece will provide contributions that will define the line of development in complexity science.
Описание: Immersive technology as an umbrella concept consists of multiple emerging technologies including augmented reality (AR), virtual reality (VR), gaming, simulation, and 3D printing. Research has shown immersive technology provides unique learning opportunities for experiential learning, multiple perspectives, and knowledge transfer. Due to its role in influencing learners' cognitive and affective processes, it is shown to have great potential in changing the educational landscape in the decades to come. However, there is a lack of general cognitive and affective theoretical framework to guide the diverse aspects of immersive technology research. In fact, lacking the cognitive and affective theoretical framework has begun to hamper the design and application of immersive technology in schools and related professional training.
Cognitive and Affective Perspectives on Immersive Technology in Education is an essential research book that explores methods and implications for the design and implementation of upcoming immersive technologies in pedagogical and professional development settings. The book includes case studies that highlight the cognitive and affective processes in immersive technology as well as the successful applications of immersive technology in education. Featuring a wide range of topics such as curriculum design, K-12 education, and mobile learning, this book is ideal for academicians, educators, policymakers, curriculum developers, instructional designers, administrators, researchers, and students.
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