Intelligent Computing Theories and Application

15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part II

AvDe-Shuang Huang,Kang-Hyun Jo

Häftad, Engelska, 2019

Del 11644 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2019-07-24
Mått:155 x 235 x 44 mm
Vikt:1 206 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:790
Förlag:Springer Nature Switzerland AG
ISBN:9783030269685

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

Particle Swarm Optimization-based Power Allocation Scheme for Secrecy Sum Rate Maximization in NOMA with Cooperative Relaying.- A Discrete Particle Swarm Optimization for PairwiseSequence Alignment.- A Diversity based Competitive Multi-Objective PSO for Feature Selection.- A Decomposition-based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolio Optimization.- CBLNER: a multi-models biomedical named entity recognition system based on machine learning.- Dice Loss in Siamese Network for Visual Object Tracking.- Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid.- Precipitation Modeling and Prediction Based on Fuzzy-control Multi-cellular Gene Expression Programming and Wavelet Transform.- Integrative Enrichment Analysis of Intra- and Inter- Tissues’ Differentially Expressed Genes Based on Perceptron.- Identifying differentially expressed genes based on differentially expressed edges.- Gene functional module discovery via integrating geneexpression and PPI network data.- A novel framework for improving the prediction of disease-associated microRNAs.- Precise Prediction of Pathogenic Microorganisms using 16S rRNA Gene Sequences.- Learning from Deep Representations of Multiple Networks for Predicting Drug–Target Interactions.- Simulation of Complex neural firing patterns based on improved deterministic Chay model.- Knowledge based helix angle and residue distance restraint free energy terms of GPCRs.- Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data.- A Novel Weight Learning Approach Based on Density for Accurate Prediction of Atherosclerosis.- An effective approach of measuring disease similarities based on the DNN regression model.- Herb Pair Danggui-Baishao:Pharmacological Mechanisms Underlying Primary Dysmenorrhea by Network Pharmacology Approach.- End-to-end learning based compound activity prediction using binding pocket information.- A novel approach for predicting lncRNA-disease associations by structural perturbation method.- Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations.- A link and Weight-Based Ensemble Clustering for Patient Stratification.- HGMDA:HyperGraph for Predicting MiRNA-disease Association.- Discovering Driver Mutation Profiles in Cancer with A Local Centrality Score.- LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction.- Distinguishing driver missense mutations from benign polymorphisms in breast cancer.- A novel method to predict protein regions driving cancer through integration of multi-omics data.- In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information.- Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest.- Prediction of human lncRNAs based on integrated information entropy features.- A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel.- A Novel Approach to predicting miRNA-disease associations.- Hierarchical Attention Network for Predicting DNA-Protein Binding Sites.- Motif discovery via convolutional networks with k-mer embedding.- Whole-Genome Shotgun Sequence of Natronobacterium Gregoryi SP2.- The detection of gene modules with overlapping characteristic via integrating multi-omics data in six cancers.- Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations.- A prediction method of DNA-binding proteins based on evolutionary information.- Research on RNA Secondary Structure Prediction Based on Decision Tree.- Improving hot region prediction by combining gaussian naïve Bayes and DBSCAN.- An efficient LightGBM model to predict protein selfinteracting using Chebyshev moments and bi-gram.- Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-Interacting Proteins.- Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information.- Research on HP Model Optimization Method Based on Reinforcement Learning.- EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single Cell RNA-seq Sequencing Data.- Regulatory sequence architecture of stress responsive genes in (Oryza sativa).- Identifying Cancer Biomarkers from High-throughput RNA sequencing Data by Machine Learning.- Identification of prognostic and heterogeneous breast cancer biomarkers based on fusion network and multiple scoring strategies.- A Novel Differential Essential Genes Prediction Method Based on Random Forests Model.- Identification of candidate biomarkers and pathways associated with liver cancer by bioinformatics analysis.- Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model.- CNN and Metadata for classification of benign and malignant melanomas.- An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data sets.- Fully Convolutional Neural Networks for 3D Vehicle Detection based on Point Clouds.- Illegally Parked Vehicle Detection Based on Haar-Cascade Classifier.- Graph-SLAM Based Hardware-in-the-loop-simulation for Unmanned Aerial Vehicles Using Gazebo and PX4 open source.- Evaluating CNNs for Military Target Recognition.- Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease.- Research of Formal Analysis Based on Extended Strand Space Theories.- The Application of Artificial Intelligence in Music Education.- Single-machine green scheduling problem of multi-speed machine.- Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan.- Water Wave Optimization for the Multidimensional Knapsack Problem.- A Complex-valued Firefly Algorithm.- Gene Expression Prediction Based on Hybrid Evolutionary Algorithm.- MPdeep: the medical procession with deep learning.- Predicting potential Drug-Target Interactions with Multi-label learning and ensemble learning.- Robust Circulating Tumor Cells Detection in Scanned Microscopic Images with Cascaded Morphological and Faster R-CNN Deep Detectors.- Electrocardiogram Diagnosis Based on SMOTE＋ENN and Random Forest.- Complex leaves classification with features extractor.- IDP - OPTICS: Improvement of Differential Privacy Algorithm in Data Histogram Publishing Based on Density Clustering.