Intelligent Computing Theories and Application : 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part I / edited by De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Information Systems and Applications, incl. Internet/Web, and HCI ; 11643 | Springer eBooks Computer SciencePublisher: Cham : Springer, 2019Edition: 1st ed. 2019Description: 1 Online-Ressource (XXXV, 768 p. 373 illus., 270 illus. in color)ISBN:

9783030267636

Subject(s):

Genre/Form:

Konferenzschrift

Additional physical formats: 9783030267629 | Erscheint auch als: Intelligent computing ; Part 1: Intelligent Computing Theories and Application. Druck-Ausgabe Cham : Springer, 2019. xxxv, 768 SeitenDDC classification:

006.6 23
006.37 23

LOC classification:

TA1637-1638 TA1634

DOI: DOI: 10.1007/978-3-030-26763-6Online resources:

Summary: 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 DetectionSummary: This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technologyPPN: PPN: 1671003772Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS

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