Автор: Jos? Manuel Ferr?ndez Vicente; Jos? Ram?n ?lvarez- Название: Bioinspired Computation in Artificial Systems ISBN: 3319188321 ISBN-13(EAN): 9783319188324 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Online Control of Enumeration Strategies via Bat-Inspired Optimization.- LEXMATH - A Tool for the Study of Available Lexicon in Mathematics.- Low-Power Occupancy Sensor for an Ambient Assisted Living System.- Evolution of Synaptic Delay Based Neural Controllers for Implementing Central Pattern Generators in Hexapod Robotic Structures.- Genetic Algorithm for the Job-Shop Scheduling with Skilled Operators.- Preliminary Design of the Real-Time Control Software for the Adaptive Optics of AOLI.- Graph-Based Learning on Sparse Data for Recommendation Systems in Social Networks.- Self-sampling Strategies for Multimemetic Algorithms in Unstable Computational Environments.- On the Influence of Illumination Quality in 2D Facial Recognition.- A Binary Cuckoo Search Algorithm for Solving the Set Covering Problem.- State Machine Based Architecture to Increase Flexibility of Dual-Arm Robot Programming.- A Cellular Automata Model for Mobile Worm Propagation.- Evolving Cellular Automata to Segment Hyperspectral Images Using Low Dimensional Images for Training.-. Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms.- Embodied Evolution for Collective Indoor Surveillance and Location.- On the Spectral Clustering for Dynamic Data.- A Multiple-Model Particle Filter Based Method for Slide Detection and Compensation in Road Vehicles.- Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters.- Comparative Study of the Features Used by Algorithms Based on Viola and Jones Face Detection Algorithm.- Experiments of Skin Detection in Hyperspectral Images.- Scene Recognition for Robot Localization in Difficult Environments.- Pyramid Representations of the Set of Actions in Reinforcement Learning.- Related Tasks Selection to Multitask Learning Schemes.- Towards Robot Localization Using Bluetooth Low Energy Beacons RSSI Measures.- Development of a Web Platform for On-line Robotics Learning Workshops Using Real Robots.- A Growing Functional Modules Learning Based Controller Designed to Balance of a Humanoid Robot on One Foot.- Optimized Representation of 3D Sequences Using Neural Networks.- Object Recognition in Noisy RGB-D Data.- Topology Preserving Self-Organizing Map of Features in Image Space for Trajectory Classification.- A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color.- Robust Control Tuning by PSO of Aerial Robots Hose Transportation.- Visual Bug Algorithm for Simultaneous Robot Homing and Obstacle Avoidance Using Visual Topological Maps in an Unmanned Ground Vehicle.- Neural Modeling of Hose Dynamics to Speedup Reinforcement Learning Experiments.- Autonomous Robot Navigation Based on Pattern Recognition Techniques and Artificial Neural Networks.- Collaborative Group Formation Using Genetic Algorithms.- The CALIMACO Multimodal System: Providing Enhanced Library Services Using Mobile Devices.-Agent Based Modelling to Build Serious Games: The Learn to Lead Game.- An Augmented Reality Application for Learning Anatomy.- Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach.- Multicriterion Segmentation of Demand Markets to Increase Forecasting Accuracy of Analogous Time Series: A First Investigation.- A Self-Organising Multi-Manifold Learning Algorithm.- Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database Classification.- Comparing ELM Against MLP for Electrical Power Prediction in Buildings.-.Fish Monitoring and Sizing Using Computer Vision.- Computer-Aided Development of Thermo-Mechanical Laser Surface Treatments for the Fatigue Life Extension of Bio-Mechanical Components.- From Smart Grids to Business Intelligence, a Challenge for Bioinspired Systems.- Neural Recognition of Real and Computer-Designed Architectural Images.
Автор: Koro?ec Название: Bioinspired Optimization Methods and Their Applications ISBN: 3319916408 ISBN-13(EAN): 9783319916408 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Optimization of Home Care Visits Schedule by Genetic Algorithm.- New Techniques for Inferring L-systems Using Genetic Algorithm.- An Adaptive Metaheuristic for Unconstrained Multimodal Numerical Optimization.- Scrum Task Allocation Based on Particle Swarm Optimization.- Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems.- Collaborative Agent Teams (CAT): from the Paradigm to Implementation Guidelines.- A Bio-inspired Approach for Collaborative Exploration with Mobile Battery Recharging in Swarm Robotics.- Constructive Metaheuristics for the Set Covering Problem.- Single and multiobjective evolutionary algorithms for clustering biomedical information with unknown number of clusters.- Evolutionary algorithms for scheduling of crude oil preheating process under linear fouling.- Hybrid weighted barebones exploiting particle swarm optimization algorithm for time series representation.- Data-driven Preference-based Deep Statistical Ranking for Comparing.- sMulti-Objective Optimization Algorithms.- Construction of heuristic for protein structure optimization using deep reinforcement learning.- Comparing Boundary Control Methods for Firefly Algorithm.- A New Binary Encoding Scheme in Genetic Algorithm for Solving the Capacitated Vehicle Routing Problem.- Ensemble and Fuzzy techniques applied to Imbalanced Traffic Congestion Datasets: a Comparative Study.- Multi-Objective Design of Time-Constrained Bike Routes using Bio-inspired Meta-Heuristics.- Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization.- Path Planning Optimization Method Based on Genetic Algorithm for Mapping Toxic Environment.- Tuning Multi-Objective Optimization Algorithms for the Integration and Testing Order Problem.- Surrogate-Assisted Particle Swarm with Local Search for Expensive Constrained Optimization.- Indicator-based versus Aspect-based Selection in Multi- and Many-objective Biochemical Optimization.- An Approach for Recovering Distributed Systems from Disasters.- Population Diversity Analysis for the Chaotic based Selection of Individuals in Differential Evolution.- Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does it work?.- How Distance based Parameter Adaptation Affects Population Diversity.- Collaborative Variable Neighborhood Search.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
Описание: FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.
Описание: This book is a selected collection of 54 peer-reviewed original scientific research papers of the 5th International Conference on Green Technology and Sustainable Development (GTSD2020) organised in Vietnam in 2020.
Автор: Hiranmay Ghosh Название: Computational Models for Cognitive Vision ISBN: 1119527864 ISBN-13(EAN): 9781119527862 Издательство: Wiley Рейтинг: Цена: 7754.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Learn how to apply cognitive principles to the problems of computer vision
Computational Models for Cognitive Vision formulates the computational models for the cognitive principles found in biological vision, and applies those models to computer vision tasks. Such principles include perceptual grouping, attention, visual quality and aesthetics, knowledge-based interpretation and learning, to name a few. The author's ultimate goal is to provide a framework for creation of a machine vision system with the capability and versatility of the human vision.
Written by Dr. Hiranmay Ghosh, the book takes readers through the basic principles and the computational models for cognitive vision, Bayesian reasoning for perception and cognition, and other related topics, before establishing the relationship of cognitive vision with the multi-disciplinary field broadly referred to as "artificial intelligence". The principles are illustrated with diverse application examples in computer vision, such as computational photography, digital heritage and social robots. The author concludes with suggestions for future research and salient observations about the state of the field of cognitive vision.
Other topics covered in the book include:
- knowledge representation techniques
- evolution of cognitive architectures
- deep learning approaches for visual cognition
Undergraduate students, graduate students, engineers, and researchers interested in cognitive vision will consider this an indispensable and practical resource in the development and study of computer vision.
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