Adaptive Multiple-view Label Propagation for Semi-Supervised Classication.- Container Damage Identication based on Fmask-RCNN.- Multiagent Reinforcement Learning for Combinatorial Optimization.- Extended Kalman Filter-Based Adaptively Sliding Mode Control with Dead-Zone Compensator for An Anchor-Hole Driller.- Exploring Multi-scale Deep Encoder-decoder and PatchGAN for Perceptual Ultrasound Image Super-resolution.- Reliable neighbors-based Collaborative Filtering for Recommendation Systems.- Downhole condition identication for geological drilling processes based on qualitative trend analysis and expert rules.- Adaptive Neural Network Control for Double-Pendulum Tower Crane Systems.- Mengh Generalized Locally-linear embedding: A Neural Network Implementation.- Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine.- Tailored Pruning via Rollback Learning.- Coordinative Hyper-Heuristic Resource Scheduling in Mobile Cellular Networks.- Latent Sparse Discriminative Learning for Face Image Set Classication.- Sparse multi-task least-squares support vector machine.- Discriminative Subspace Learning for Cross-view Classication with Simultaneous Local and Global Alignment.- A Recognition Method of Hand Gesture based on Dual-SDAE.- Image Generation from Layout via Pair-wise RaGAN.- Learning Unsupervised Video Summarization with Semantic-consistent Network.- Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables.- 2-Dimensional Interval Neutrosophic Linguistic Numbers and Their Utilization in Group Decision Making.- Cross-Modal N-Pair Network for Generalized Zero-Shot Learning.- A Bi-Directional Relation Aware Network for Link Prediction in Knowledge Graph.- Deep K-Means: A Simple and Eective Method for Data Clustering.- Brain Storm Optimization Algorithms: A Brief Review.- A Binary Superior Tracking Articial Bee Colony for Feature Selection.- A Hybrid Neural Network RBERT-C based on Pre-trained RoBERTa and CNN for User Intent Classication.- Image Registration Algorithm Based on Manifold Regularization with Thin-plate Spline Model.- Optimal Control of Nonlinear Time-delay Systems with Input Constraints Using Reinforcement Learning.- Disaggregated Power System Signal Recognition using Capsule Network.- Design of echo state network with coordinate descent method and l1 regularization.- An advanced actor-critic algorithm for training video game AI.- Neural Network-Based Adaptive Control for EMS Type Maglev Vehicle Systems with Time-Varying Mass.- A Novel Collision-Avoidance TDMA MAC Protocol for Fog-assisted VCNs.- Design optimization of plate-n heat exchanger using sine cosine algorithm.- Mr-ResNeXt: A Multi-resolution Network Architecture for Detection of Obstructive Sleep Apnea.- Scalable Multi-Agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games.- Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction.- Multi-period Distributed Delay-sensitive Tasks Ooading in a Two-layer Vehicular Fog Computing Architecture.- Template-Enhanced Aspect Term Extraction with Bi-contextual Convolutional Neural Networks.- Privacy Sensitive Large-Margin Model for Face De-identication.- Balancing of Bike-sharing networks via constrained model predictive control.- RLV Reentry Trajectory Optimization Design Based on Improved Differential Evolution Algorithm.- A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition.
Описание: This book constitutes the proceedings of the 21st International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2020, which took place in Shenzhen, China, during December 28-30, 2020.The 34 full papers included in this volume were carefully reviewed and selected from 109 submissions.
Описание: This volume constitutes the refereed post-conference proceedings of the 5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020, held in Shenzhen, China, in September 2020. machine learning algorithm and Intelligent networks.
Описание: This book constitutes the refereed proceedings of the 11th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2020, held in Shenzhen, China, in December 2020.The 37 revised full papers presented were carefully reviewed and selected from 75 submissions.
Автор: Carlos M. Fonseca; Peter J. Fleming; Eckart Zitzle Название: Evolutionary Multi-Criterion Optimization ISBN: 3540018697 ISBN-13(EAN): 9783540018698 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The 2nd International Conference on Evolutionary Multi-Criterion Optimi- tion (EMO 2003) was held on April 8-11, 2003, at the University of the Algarve in Faro, Portugal. This was the second international conference dedicated en- rely to this important topic, following the very successful EMO 2001 conference, whichwasheldinZuric ] h, Switzerland, inMarch2001.EMO2003wasco-located with the IFAC International Conference on Intelligent Control Systems and S- nal Processing (ICONS 2003), exposing EMO to a wider audience of scientists and engineers. The EMO 2003 scienti?c program included two keynote addresses, one given byDavidScha?eronoptimizationandmachinelearninginindustry, andanother delivered by Pekka Korhonen on multiple-criteria decision making. In addition, three tutorials were presented, one on multicriterion decision analysis by - lerie Belton, another on multiobjective evolutionary algorithms by Kalyanmoy Deb, and a third on multiple objective metaheuristics by Andrzej Jaszkiewicz. The President of the Portuguese Innovation Agency, Prof. Jo ao Silveira Lobo, and the President of the Portuguese Foundation for Science and Technology, Prof. Fernando Ramoa Ribeiro, attended the opening ceremony and the closing ceremony, respectively. In response to the call for papers, 100 full-length papers were submitted from 27 countries. Fifty-six papers were accepted for presentation at the conference after thorough reviewing by members of the program committee and they are contained in this volume. April 2003 Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb, and Lothar Thiele Organization EMO 2003 was organized by CSI (Centre for Intelligent Systems, University of the Algarve, Portugal) with the support of EvoNet (European Network of Excellence in Evolutionary Computing).
Автор: Eckart Zitzler; Kalyanmoy Deb; Lothar Thiele; Carl Название: Evolutionary Multi-Criterion Optimization ISBN: 3540417451 ISBN-13(EAN): 9783540417453 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of papers organized in sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.
Автор: Shigeru Obayashi; Kalyanmoy Deb; Carlo Poloni; Tom Название: Evolutionary Multi-Criterion Optimization ISBN: 3540709274 ISBN-13(EAN): 9783540709275 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007, held in Matsushima, Japan in March 2007. This book includes sections on algorithm design, algorithm improvements, alternative methods, applications, engineering design, objective handling, and performance assessments.
Автор: Heike Trautmann; G?nter Rudolph; Kathrin Klamroth; Название: Evolutionary Multi-Criterion Optimization ISBN: 3319541560 ISBN-13(EAN): 9783319541563 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Munster, Germany in March 2017. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; parallel EMO models; EMO algorithm implementations.
Автор: Kalyanmoy Deb; Erik Goodman; Carlos A. Coello Coel Название: Evolutionary Multi-Criterion Optimization ISBN: 3030125971 ISBN-13(EAN): 9783030125974 Издательство: Springer Рейтинг: Цена: 13695.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019.
The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO ?eld today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.
Автор: Ant?nio Gaspar-Cunha; Carlos Henggeler Antunes; Ca Название: Evolutionary Multi-Criterion Optimization ISBN: 331915933X ISBN-13(EAN): 9783319159331 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimaraes, Portugal in March/April 2015.
Автор: Ant?nio Gaspar-Cunha; Carlos Henggeler Antunes; Ca Название: Evolutionary Multi-Criterion Optimization ISBN: 3319158910 ISBN-13(EAN): 9783319158914 Издательство: Springer Рейтинг: Цена: 12298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimaraes, Portugal in March/April 2015.
Автор: Robin Purshouse; Peter Fleming; Carlos M. Fonseca; Название: Evolutionary Multi-Criterion Optimization ISBN: 3642371396 ISBN-13(EAN): 9783642371394 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Plenary talks.- New horizons.- Indicator-based methods.- Aspects of algorithm design.- Pareto-based methods.- Hybrid MCDA.- Decomposition-based methods.- Classical MCDA.- Exploratory problem analysis.- Product and process applications.- Aerospace and automotive applications.- Further real-world applications.- Under-explored challenges.
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