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Intelligent Computing Theories and Application

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Cover of 'Intelligent Computing Theories and Application'

Table of Contents

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    Book Overview
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    Chapter 1 Particle Swarm Optimization-Based Power Allocation Scheme for Secrecy Sum Rate Maximization in NOMA with Cooperative Relaying
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    Chapter 2 A Novel Binary Particle Swarm Optimization for Multiple Sequence Alignment
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    Chapter 3 A Diversity Based Competitive Multi-objective PSO for Feature Selection
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    Chapter 4 A Decomposition-Based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolio Optimization
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    Chapter 5 CBLNER: A Multi-models Biomedical Named Entity Recognition System Based on Machine Learning
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    Chapter 6 Dice Loss in Siamese Network for Visual Object Tracking
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    Chapter 7 Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid
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    Chapter 8 Precipitation Modeling and Prediction Based on Fuzzy-Control Multi-cellular Gene Expression Programming and Wavelet Transform
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    Chapter 9 Integrative Enrichment Analysis of Intra- and Inter- Tissues’ Differentially Expressed Genes Based on Perceptron
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    Chapter 10 Identifying Differentially Expressed Genes Based on Differentially Expressed Edges
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    Chapter 11 Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data
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    Chapter 12 A Novel Framework for Improving the Prediction of Disease-Associated MicroRNAs
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    Chapter 13 Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences
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    Chapter 14 Learning from Deep Representations of Multiple Networks for Predicting Drug–Target Interactions
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    Chapter 15 Simulation of Complex Neural Firing Patterns Based on Improved Deterministic Chay Model
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    Chapter 16 Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs
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    Chapter 17 Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data
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    Chapter 18 A Novel Weight Learning Approach Based on Density for Accurate Prediction of Atherosclerosis
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    Chapter 19 An Effective Approach of Measuring Disease Similarities Based on the DNN Regression Model
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    Chapter 20 Herb Pair Danggui-Baishao: Pharmacological Mechanisms Underlying Primary Dysmenorrhea by Network Pharmacology Approach
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    Chapter 21 End-to-End Learning Based Compound Activity Prediction Using Binding Pocket Information
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    Chapter 22 A Novel Approach for Predicting LncRNA-Disease Associations by Structural Perturbation Method
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    Chapter 23 Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations
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    Chapter 24 A Link and Weight-Based Ensemble Clustering for Patient Stratification
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    Chapter 25 HGMDA: HyperGraph for Predicting MiRNA-Disease Association
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    Chapter 26 Discovering Driver Mutation Profiles in Cancer with a Local Centrality Score
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    Chapter 27 LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction
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    Chapter 28 Distinguishing Driver Missense Mutations from Benign Polymorphisms in Breast Cancer
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    Chapter 29 A Novel Method to Predict Protein Regions Driving Cancer Through Integration of Multi-omics Data
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    Chapter 30 In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information
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    Chapter 31 Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest
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    Chapter 32 Prediction of Human LncRNAs Based on Integrated Information Entropy Features
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    Chapter 33 A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel
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    Chapter 34 A Novel Approach to Predicting MiRNA-Disease Associations
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    Chapter 35 Hierarchical Attention Network for Predicting DNA-Protein Binding Sites
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    Chapter 36 Motif Discovery via Convolutional Networks with K-mer Embedding
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    Chapter 37 Whole-Genome Shotgun Sequence of Natronobacterium gregoryi SP2
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    Chapter 38 The Detection of Gene Modules with Overlapping Characteristic via Integrating Multi-omics Data in Six Cancers
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    Chapter 39 Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations
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    Chapter 40 A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information
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    Chapter 41 Research on RNA Secondary Structure Prediction Based on Decision Tree
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    Chapter 42 Improving Hot Region Prediction by Combining Gaussian Naive Bayes and DBSCAN
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    Chapter 43 An Efficient LightGBM Model to Predict Protein Self-interacting Using Chebyshev Moments and Bi-gram
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    Chapter 44 Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins
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    Chapter 45 Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information
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    Chapter 46 Research on HP Model Optimization Method Based on Reinforcement Learning
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    Chapter 47 EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single Cell RNA-seq Sequencing Data
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    Chapter 48 Regulatory Sequence Architecture of Stress Responsive Genes in Oryza Sativa
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    Chapter 49 Identifying Cancer Biomarkers from High-Throughput RNA Sequencing Data by Machine Learning
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    Chapter 50 Identification of Prognostic and Heterogeneous Breast Cancer Biomarkers Based on Fusion Network and Multiple Scoring Strategies
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    Chapter 51 A Novel Differential Essential Genes Prediction Method Based on Random Forests Model
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    Chapter 52 Identification of Candidate Biomarkers and Pathways Associated with Liver Cancer by Bioinformatics Analysis
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    Chapter 53 Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model
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    Chapter 54 CNN and Metadata for Classification of Benign and Malignant Melanomas
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    Chapter 55 An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets
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    Chapter 56 Fully Convolutional Neural Networks for 3D Vehicle Detection Based on Point Clouds
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    Chapter 57 Illegally Parked Vehicle Detection Based on Haar-Cascade Classifier
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    Chapter 58 Graph-SLAM Based Hardware-in-the-Loop-Simulation for Unmanned Aerial Vehicles Using Gazebo and PX4 Open Source
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    Chapter 59 Evaluating CNNs for Military Target Recognition
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    Chapter 60 Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease
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    Chapter 61 Research of Formal Analysis Based on Extended Strand Space Theories
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    Chapter 62 The Application of Artificial Intelligence in Music Education
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    Chapter 63 Single-Machine Green Scheduling Problem of Multi-speed Machine
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    Chapter 64 Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan
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    Chapter 65 Water Wave Optimization for the Multidimensional Knapsack Problem
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    Chapter 66 A Complex-Valued Firefly Algorithm
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    Chapter 67 Gene Expression Prediction Based on Hybrid Evolutionary Algorithm
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    Chapter 68 MPdeep: Medical Procession with Deep Learning
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    Chapter 69 Predicting Potential Drug-Target Interactions with Multi-label Learning and Ensemble Learning
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    Chapter 70 Robust Circulating Tumor Cells Detection in Scanned Microscopic Images with Cascaded Morphological and Faster R-CNN Deep Detectors
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    Chapter 71 Electrocardiogram Diagnosis Based on SMOTE+ENN and Random Forest
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    Chapter 72 Complex Leaves Classification with Features Extractor
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    Chapter 73 IDP - OPTICS: Improvement of Differential Privacy Algorithm in Data Histogram Publishing Based on Density Clustering
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Title
Intelligent Computing Theories and Application
Published by
Springer International Publishing, October 2019
DOI 10.1007/978-3-030-26969-2
ISBNs
978-3-03-026968-5, 978-3-03-026969-2
Editors

Huang, De-Shuang, Jo, Kang-Hyun, Huang, Zhi-Kai