Intelligent Computing Theories and Application: 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part I

ISBN-13: 9783030267629 / Angielski / Miękka / 2019 / 768 str.

De-Shuang Huang; Vitoantonio Bevilacqua; Prashan Premaratne

Spis treści

Solving Symmetric and Asymmetric Traveling Salesman Problems Through Probe Machine with Local Search.- An Evolutionary Algorithm based on Multi-operator Ensemble for Multi-objective Optimization.- Water Evaporation Optimization Algorithm based on Classification and Unbiased Search.- A discrete sine cosine algorithm for community detection.- Automatical Pulmonary Nodule Detection by Feature Contrast Learning.- Unsupervised Cross-Domain Person Re-Identification Based on Style Transfer.- Improving Object Detection by Deep Networks with Class-related Features.- Dynamic Neural Network for Business and Market Analysis.- ψ-type synchronization of memristor-based competitive neural networks with time-varying delays via nonlinear feedback control.- A Computer Immune Optimization Algorithm Based on Group Evolutionary Strategy*.- Sound field reproduction in reverberant room using the Alternating Direction Method of Multipliers based Lasso and regularized Least-Square.- Improvement of Image Reconstruction Algorithm Based on CS.- Automatic Badminton Action Recognition Using CNN with Adaptive Feature Extraction on Sensor Data.- A Deep Learning Model for Multi-Label Classification Using Capsule Networks.- Bundled Round Bars Counting Based on Iteratively Trained SVM.- Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins.- Coarse-to-Fine Supervised Descent Method for Face Alignment.- Prediction of Chemical Oxygen Demand in Sewage Based on Support Vector Machine and Neural Network.- Relaxed 2-D Principal Component Analysis By Lp Norm For Face Recognition.- Palm Recognition Using the Adaptive LWT Based Sparse Representation Method.- Dislocation Theory Based Level Set Image Segmentation.- Out-of-stock Detection Based on Deep Learning.- A Fractional-order Variational Residual CNN for Low Dose CT Image Denoising.- CNN-SIFT Consecutive Searching and Matching for Wine Label Retrieval.- Image Denoising via Multiple Images Nonlocally Means and Residual Tensor Decomposition.- Identification of apple tree trunk diseases based on improved convolutional neural network with fused loss functions.- Mirror PCA: exploiting facial symmetry for feature extraction.- Face Image Super-Resolution via Sparse Representation and Local Texture Constraints.- Convolutional Capsule-based Network for Person Re-Identification.- Plant Leaf Recognition Based on Conditional Generative Adversarial Nets.- Leaf Recognition Based on Capsule Network.- Image Segmentation Based on Local Chan-Vese Model Combined with Fractional Order Derivative.- Deep learning based fluid segmentation in retinal optical coherence tomography images.- An Authentication Scheme in VANETs Based on Group Signature.- Malware Detection in Android System Based on Change Perception.- Model Analysis and Prediction of People’s Travel Behaviors Under No Shared Bicycles.- Research on Security Vulnerabilities Based on Artificial Intelligence.- Privacy Preservation Based on Key Attribute and Structure Generalization of Social Network for Medical Data Publication.- EmoSens – the Proposal of System for Recognition of Emotion with SDK Affectiva and various sensors.- Smart-Scrolling: Improving Information Access Performance in Linear Layout Views for Small-Screen Devices.- Scalable Distributed Genetic Algorithm using Apache Spark (S-GA).- EEG-based Seizure Diagnosis Using Discriminative Fractal Features From Feature Selection.- Classifying Mixed Patterns of Proteins in High-throughput Microscopy Images Using Deep Neural Networks.- Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method.- Liver Segmentation in CT Images with Adversarial Learning.- Cascade Dense-unet for Prostate Segmentation in MR Images.- A Percolation Algorithm to Discover Emerging Research Topics.- Designing and Implementing Mobile Robot Navigation Based on Behavioral Programming.- Weed Recognition in Wheat Field based on Sparse Representation Classification.- Automatic Cloud Segmentation Based on Fused Fully Convolutional Networks.- Label Propagation Based Semi-supervised Feature Selection to Decode Clinical Phenotype of Huntington’s Disease.- Urine Sediment Detection Based on Deep Learning.- Identification of Apple Leaf Diseases Based on Convolutional Neural Network.- Multiomics data analysis using tensor decomposition based unsupervised feature extraction.- Sequence-based prediction of hot spots in protein-RNA complexes using an ensemble approach.- Realtime Computer Vision-based Accurate Vehicle Counting and Speed Estimation for Highways.- Comparison of Various Weighted K-Nearest Neighbor Methods for Positioning Systems Using Visible LED Lights.- Parameters Optimization for Support Vector Regression based Indoor Visible Light Localization.- A Novel Mechanism of Position Update in Multi-objective Particle Swarm Optimization.- A New Multi-objective Particle Swarm Optimization Based on Linear Decreasing Velocity Update Mechanism.- Cluster-head Selection for Energy-harvesting IoT Devices in Multi-tier 5G Cellular Networks.- Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks.- A Recognition Method for Italian Alphabet Gestures Based on Convolutional Neural Network.- Two-stage Algorithm for Solving Multi-Depot Green Vehicle Routing Problem with Time Window.- Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem.- Study on medical image report generation based on improved encoding-decoding method.- Multi-verse Optimization Algorithm for Solving Two-dimensional TSP.- A quaternion’s encoding sine cosine algorithm.- A Complex-valued Encoding Moth-flame Optimization Algorithm for Global Optimization.- An Enhanced Whale Optimization Algorithm with Simplex Method.- BFPA: Butterfly Strategy Flower Pollination Algorithm.- Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection.