Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications: Ichsa 2020, Istanbul, Nigdeli Sinan Melih, Kim Joong Hoon, Bekdaş Gebrail
Описание: Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making;
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2020, held in Shanghai, China, in September 2020.
Описание: This book presents high-quality papers from the Third International Conference on Smart Computing and Informatics (SCI 2018 19), organized by the School of Computer Engineering and School of Computer Application, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, from 21 to 22 December 2018.
Автор: Allahviranloo, Tofigh (faculty Of Engineering And Natural Sciences, Bahcesehir University, Istanbul, Turkey) Pedrycz, Witold (department Of Electrical Название: Soft numerical computing in uncertain dynamic systems ISBN: 0128228555 ISBN-13(EAN): 9780128228555 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at different time scales. The book discusses several types of errors and their propagation, covering numerical methods--including convergence and consistence properties and characteristics--and proving of related theorems within the setting of soft computing. Several types of uncertainty representation like interval, fuzzy, type 2 fuzzy, granular, and combined uncertain sets are discussed in detail. The book can be used by engineering students in control and finite element fields, as well as all engineering, applied mathematics, economics, and computer science students.
One of the important topics in applied science is dynamic systems and their applications. The authors develop these models and deliver solutions with the aid of numerical methods. Since they are inherently uncertain, soft computations are of high relevance here. This is the reason behind investigating soft numerical computing in dynamic systems. If these systems are involved with complex-uncertain data, they will be more practical and important. Real-life problems work with this type of data and most of them cannot be solved exactly and easily--sometimes they are impossible to solve.
Clearly, all the numerical methods need to consider error of approximation. Other important applied topics involving uncertain dynamic systems include image processing and pattern recognition, which can benefit from uncertain dynamic systems as well. In fact, the main objective is to determine the coefficients of a matrix that acts as the frame in the image. One of the effective methods exhibiting high accuracy is to use finite differences to fill the cells of the matrix.
Описание: This book reports on current challenges in bridge engineering faced by professionals around the globe, giving a special emphasis to recently developed techniques and methods for bridge design, construction and monitoring.
Описание: This book gathers the papers presented at the 18th Online World Conference on Soft Computing in Industrial Applications (WSC18), which was held on 1-12 December 2014 on the World Wide Web. The conference is open to all academics, students and industrial/commercial parties, and is hosted online between authors and participants over the Internet. The 2014 installment of the Online World Conference on Soft Computing in Industrial Application consisted of a selected keynote speech, invited talks, tutorials, special sessions, and general track papers. The program committee received a total of 51 submissions from 12 countries, reflecting the international nature of the event. Each paper was peer-reviewed (typically by 3 reviewers), culminating in the acceptance of 20 papers for publication.
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 refereed proceedings of the 13th International Conference on Similarity Search and Applications, SISAP 2020, held in Copenhagen, Denmark, in September/October 2020.
Описание: This book gathers high-quality papers presented at the Third International Conference on Smart Computing and Informatics (SCI 2018-19), which was organized by the School of Computer Engineering and School of Computer Application, Kalinga Institute of Industrial Technology, Bhubaneswar, India, on 21-22 December, 2018.
Описание: Covering recent advances in next-generation computing, the book focuses on recent developments in intelligent computing, such as linguistic computing, statistical computing, data computing and ambient applications.
Описание: This volume contains 87 papers presented at FICTA 2014: Third International Conference on Frontiers in Intelligent Computing: Theory and Applications.
Описание: Session: Fuzzy Systems Application Of Fuzzy Means Clustering For Polymer Data Mining For Making Saw Electronic Nose.- Quantitative Identification Of Volatile Organics By Saw Sensor Transients‒ Comparative Performance Analysis Of Fuzzy Inference And Partial-Least-Square-Regression Methods.- Effective Routing Protocol In Cognitive Radio Ad Hoc Network Using Fuzzy-Based Reliable Communication Neighbor Node Selection.- A Self-Tuning Fuzzy Pi Controller For Pure Integrating Processes.- Implementing Fuzziness In The Pattern Recognition Process For Improving The Classification Of The Patterns Being Recognised.- Fuzzy Self-Tuning Of Conventional Pid Controller For High-Order Processes.- Design Of Fuzzy Logic Power System Stabilizer In Multi-Machine Power System.- A Fuzzy C Mean Clustering Algorithm For Automated Segmentation Of Brain Mri Fuzzy Type - Ahead Keyword Search In Rdf Data.- Human Emotion Classification Using Fuzzy And Pca Approach.- SESSION: MACHINE LEARNING AND ANN Application Of Artificial Neural Networks And Rough Set Theory For The Analysis Of Various Medical Problems And Nephritis Disease Diagnosis.- Optimisation Using Levenberg-Marquardt Algorithm Of Neural Networks For Iris Neural Networks - A Case Study In Gene Identification.- Breast Cancer Diagnosis: An Intelligent Detection System Using Wavelet Neural Network.- Efficient Umts Location Update And Management Based On Wavelet Neural Networks.- Discrimination Between Alzheimer's Disease, Mild Cognitive Impairment And Normal Aging Using Ann Based Mr Brain Image Segmentation.- Modified Mean Square Error Algorithm With Reduced Cost Of Training And Simulation Time For Character Recognition In Back Propagation Neural Network.- A Novel Approach for Odia Part of Speech Tagging using Artificial Neural Network.- Fractional Fourier Transform Based Features For Musical Instrument Recognition Using Machine Learning Techniques Longitudinal Evaluation Of Structural Changes In Frontotemporal Dementia Using Artificial Neural Networks Content Based Image Retrieval Using Machine Learning Approach.- Hand Gesture Detection And Recognition Using Affine-Shift, Bag-Of-Features And Extreme Learning Machine Techniques.- Comparative Study Of Machine Learning Algorithm For Intrusion Detection System.- SESSION: Evolutionary Computation Techniques And Its Applications.- Grammatical Swarm Based-Adaptable Velocity Update Equations In Particle Swarm Optimizer Performance Of Teaching Learning Based Optimization Algorithm With Various Teaching Factor Values For Solving Optimization Problems.- Efficient Clustering Of Dataset Based On Differential Evolution.- Numerical Optimization Of Novel Functions Using Vtlbo Algorithm Sensitivity Analysis Of Load-Frequency Control Of Power System Using Gravitational Search Algorithm.- Privacy Preserving Distributed Data Mining With Evolutionary Computing Boundary Searching Genetic Algorithm: A Multi-Objective Approach For Constrained Problem.- Security Analysis Of Digital Stegno Images Using Genetic Algorithm.- SESSION: Applications Of Intelligent Techniques To Computer Networks, Security And Distributed Systems.- Probability And Priority Based Routing Approach For Opportunistic Networks.- D &Pmv: New Approach For Detection And Prevention Of Misbehave/Malicious Vehicles From Vanet On The Use Of Mfcc Feature Vector Clustering For Efficient Text Dependent Speaker Recognition.- A Survey On Power Aware Routing Protocols For Mobile Ad-Hoc Network.- A New Trust Based Secure Routing Scheme In Manet.- Iwdra: An Intelligent Water Drop Based Qos-Aware Routing Algorithm For Manets.- Design & Performance Analysis Of D-Statcom For Non-Linear Load composite Compensation.- Aodv Based Black-Hole Attack Mitigation In Manet.- Path Planning Strategy For Mobile Robot Navigation Using Manfis Controller Speech Emotion Recognition Using Regularized Discriminant Analysis.- An Extensive Selection Of Features As Combinations For Automatic Text Categorization.- Perfor
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