Intelligent Computing Theories and Application : 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part III / edited by De-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya Gribova, Prashan Premaratne.

Format:

Book

Contributor:

Huang, De-Shuang, Editor.

Jo, Kang-Hyun, Editor.

Li, Jianqiang, Editor.

Gribova, Valeriya, Editor.

Premaratne, Prashan, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 12838

Lecture Notes in Artificial Intelligence ; 12838

Language:

English

Subjects (All):

Artificial intelligence.

Image processing-Digital techniques.

Computer vision.

Application software.

Social sciences-Data processing.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer and Information Systems Applications.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer and Information Systems Applications.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (XXII, 669 pages) : 274 illustrations, 186 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 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." The papers are organized in the following subsections: Artificial Intelligence in Real World Applications, Biomedical Informatics Theory and Methods, Complex Diseases Informatics, Gene Regulation Modeling and Analysis, Intelligent Computing in Computational Biology, and Protein Structure and Function Prediction.

Contents:

Artificial Intelligence in Real World Applications

Task-oriented Snapshot Network Construction of Stock Market

Analysis of elimination algorithm based on curve self-intersection

Towards AI-based Reaction and Mitigation for e-commerce - the ENSURESEC Engine

Arabic Light Stemmer Based on ISRI Stemmer

Biomedical Informatics Theory and Methods

Predicting miRNA-disease associations via a new MeSH headings representation of diseases and eXtreme Gradient Boosting

Social Media Adverse Drug Reaction Detection based on Bi-LSTM with Multi-head Attention Mechanism

HOMC: a hierarchical clustering algorithm based on optimal low rank matrix completion for single cell analysis

mzMD: A new storage and retrieval system for mass spectrometry data

Drug-target Interaction Prediction via Multiple Output Graph Convolutional Networks

Inversion of k-nearest neighbours algorithm for extracting SNPs discriminating human populations

ComPAT: a comprehensive pathway analysis tools

Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate

Review of methods for data collection experiments with people with dementia and the impact of COVID-19

KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions

Challenges in data capturing and collection for physiological detection of dementia-related difficulties and proposed solutions

Exploring multi-scale temporal and spectral CSP feature for multi-class motion imagination task classification

Gingivitis detection by Wavelet Energy Entropy and Linear Regression Classifier

Decomposition-and-Fusion Network for HE-stained Pathological Image Classification

Complex Diseases Informatics

A novel approach for predicting microbe-disease associations by structural perturbation method

A reinforcement learning-Based model for Human microRNA-disease association prediction

Delineating QSAR descriptors to explore the inherent properties of naturally occurring polyphenols, responsible for alpha-synuclein amyloid disaggregation scheming towards effective therapeutics against Parkinson's disorder

Study on the mechanism of Cistanche in the treatment of colorectal cancer based on network pharmacology

A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data

Prediction of Heart Disease Probability Based on Various Body Function

Classification of Pulmonary Diseases from X-ray Images Using a Convolutional Neural Network

Predicting lncRNA-disease associations based on tensor decomposition method

AI in Skin Cancer Detection

MiRNA-Disease Associations Prediction based on Neural Tensor Decomposition

Gene Regulation Modeling and Analysis

SHDC: A Method of Similarity Measurement Using Heat Kernel based on Denoising for Clustering scRNA-seq Data

Research on RNA Secondary Structure Prediction Based on MLP

Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate Regression

Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR region

Joint Association Analysis Method to Predict Genes Related to Liver Cancer

A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding by combining multiple-instance learning

Using deep learning to predict transcription factor binding sites combining raw DNA sequence, evolutionary information and epigenomic data

An abnormal gene detection method based on Selene

A method for constructing an integrative network of competing endogenous RNAs

Intelligent Computing in Computational Biology

Detection of Drug-drug Interactions through Knowledge Graph Integrating Multi-attention with Capsule Network

SCEC: A Novel Single-Cell Classification Method Based on Cell-Pair Ensemble Learning

ICNNMDA: An Improved Convolutional Neural Network for Predicting miRNA-disease Associations

DNA-GCN: Graph convolutional networks for predicting DNA-protein binding

Weighted Nonnegative Matrix Factorization based on Multi-Source Fusion Information for Predicting CircRNA-Disease Associations

ScSSC: semi-supervised single cell clustering based on 2D embedding

SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data

Covid-19 detection by Wavelet Entropy and Jaya

An ensemble learning algorithm for predicting HIV-1 protease cleavage sites

RWRNCP: Random Walking with Restart based Network Consistency Projection for Predicting miRNA-disease Association

MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-disease Association

Prognostic prediction for non-small-cell lung cancer based on deep neural network and multimodal data

Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network

CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining Protein Evolution and Molecular Structures Information

A multi-graph deep learning model for predicting drug-disease associations

Predicting Drug-disease Associations Based on Network Consistency Projection

An efficient computational method to predict drug-target interactions utilizing matrix completion and linear optimization method

Protein Structure and Function Prediction

Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation

DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion

Membrane Protein identification via multiple kernel fuzzy SVM

Golgi Protein Prediction with Deep Forest

Prediction of protein-protein interaction based on deep learning feature representation and random forest.-.

Other Format:

Printed edition:

ISBN:

978-3-030-84532-2

9783030845322

Access Restriction:

Restricted for use by site license.