Intelligent Computing Theories and Application : 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part II / edited by De-Shuang Huang, Kang-Hyun Jo, Zhi-Kai Huang.

Format:

Book

Contributor:

Huang, De-Shuang, Editor.

Jo, Kang-Hyun, Editor.

Huang, Zhi-Kai., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 11644

Information Systems and Applications, incl. Internet/Web, and HCI ; 11644

Language:

English

Subjects (All):

Computer vision.

Artificial intelligence.

Computer science.

Computer arithmetic and logic units.

Bioinformatics.

Computer Vision.

Artificial Intelligence.

Theory of Computation.

Arithmetic and Logic Structures.

Computational and Systems Biology.

Local Subjects:

Computer Vision.

Artificial Intelligence.

Theory of Computation.

Arithmetic and Logic Structures.

Computational and Systems Biology.

Physical Description:

1 online resource (XXI, 790 pages) : 323 illustrations, 243 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

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 technology.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-26969-2

9783030269692

Access Restriction:

Restricted for use by site license.