From Bioinspired Systems and Biomedical Applications to Machine Learning, Jos? Manuel Ferr?ndez Vicente; Jos? Ram?n ?lvarez-
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.
Автор: Frank Neumann; Carsten Witt Название: Bioinspired Computation in Combinatorial Optimization ISBN: 3642265847 ISBN-13(EAN): 9783642265846 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how runtime behavior can be analyzed in a rigorous way and for combinatorial optimization in particular. It presents well-known problems such as minimum spanning trees, shortest paths, maximum matching, and covering and scheduling problems.
Автор: El-Ghazali Talbi; Amir Nakib Название: Bioinspired Heuristics for Optimization ISBN: 3030069788 ISBN-13(EAN): 9783030069780 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners.
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.
Автор: Joao M.F. Rodrigues, Pedro J.S. Cardoso, Janio Monteiro, Celia M.Q. Ramos Название: Smart Systems Design, Applications, and Challenges ISBN: 1799821129 ISBN-13(EAN): 9781799821120 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32987.00 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.
Автор: Sabu M. Thampi; Sushmita Mitra; Jayanta Mukhopadhy Название: Intelligent Systems Technologies and Applications ISBN: 3319683845 ISBN-13(EAN): 9783319683843 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the third International Symposium on Intelligent Systems Technologies and Applications (ISTA`17), September 13-16, 2017, Manipal, Karnataka, India. This proceedings contains 34 papers selected for presentation at the Symposium.
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: Talbi Название: Bioinspired Heuristics for Optimization ISBN: 3319951033 ISBN-13(EAN): 9783319951034 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent research on bioinspired heuristics for optimization. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software.
Автор: Francisco Fern?ndez de Vega; Jos? Ignacio Hidalgo Название: Parallel Architectures and Bioinspired Algorithms ISBN: 3642427367 ISBN-13(EAN): 9783642427367 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book outlines best practices when combining bioinspired algorithms with parallel architectures, describes recent work by leading researchers in the field and offers a map outlining the main paths already explored and new pathways toward the future.
Описание: Artificial intelligence is at the forefront of research and implementation in many industries including healthcare and agriculture. Whether it's detecting disease or generating algorithms, deep learning techniques are advancing exponentially. Researchers and professionals need a platform in which they can keep up with machine learning trends and their developments in the real world.
The Handbook of Research on Applications and Implementations of Machine Learning Techniques provides innovative insights into the multi-disciplinary applications of machine learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support. It is designed for IT professionals, developers, data analysts, technology specialists, R&D professionals, industrialists, practitioners, researchers, academicians, and students seeking research on deep learning procedures and their enactments in the fields of medicine, engineering, and computer science.
Описание: This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.
Описание: This book provides a broad overview of the available machine learning techniques for solving civil engineering problems including drought forecasting, river flow forecasting, precipitation forecasting, and significant wave height forecasting. Fundamentals of both theoretical and practical aspects are discussed in varied domains.
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