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Intelligent Computing Theories and Application

Overview of attention for book
Intelligent Computing Theories and Application
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Deep Convolutional Neural Network for Fog Detection
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    Chapter 2 Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network
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    Chapter 3 Fault Diagnosis and Control of a KYB MMP4 Electro-Hydraulic Actuator for LDVT Sensor Fault
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    Chapter 4 A Mask R-CNN Model with Improved Region Proposal Network for Medical Ultrasound Image
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    Chapter 5 An Improved Double Hidden-Layer Variable Length Incremental Extreme Learning Machine Based on Particle Swarm Optimization
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    Chapter 6 Breast Cancer Medical Image Analysis Based on Transfer Learning Model
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    Chapter 7 A Fast Algorithm for Image Segmentation Based on Local Chan Vese Model
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    Chapter 8 Multi-modal Plant Leaf Recognition Based on Centroid-Contour Distance and Local Discriminant Canonical Correlation Analysis
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    Chapter 9 Fine-Grained Recognition of Vegetable Images Based on Multi-scale Convolution Neural Network
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    Chapter 10 Feature Analysis and Risk Assessment of Android Group Based on Clustering
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    Chapter 11 Find the ‘Lost’ Cursor: A Comparative Experiment of Visually Enhanced Cursor Techniques
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    Chapter 12 An Enhanced HAL-Based Pseudo Relevance Feedback Model in Clinical Decision Support Retrieval
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    Chapter 13 An RGBD Tracker Based on KCF Adaptively Handling Long-Term Occlusion
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    Chapter 14 Background Subtraction with Superpixel and k-means
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    Chapter 15 Application of Embedded Database SQLite in Engine Fault Diagnosis System
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    Chapter 16 Research on Stock Forecasting Based on GPU and Complex-Valued Neural Network
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    Chapter 17 Development of Remote Monitoring System of Communication Base Station Using IoT and Particle Filter Technology
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    Chapter 18 Prediction of Dissolved Oxygen Concentration in Sewage Using Support Vector Regression Based on Fuzzy C-means Clustering
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    Chapter 19 A Deep Reinforcement Learning Method for Self-driving
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    Chapter 20 Image Classification Based on Improved Spatial Pyramid Matching Model
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    Chapter 21 A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme
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    Chapter 22 A Compound Algorithm for Parameter Estimation of Frequency Hopping Signal Based on STFT and Morlet Wavelet Transform
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    Chapter 23 Recognition of Comparative Sentences from Online Reviews Based on Multi-feature Item Combinations
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    Chapter 24 Hierarchical Hybrid Code Networks for Task-Oriented Dialogue
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    Chapter 25 Characterization of Radiotherapy Sensitivity Genes by Comparative Gene Set Enrichment Analysis
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    Chapter 26 MiRNN: An Improved Prediction Model of MicroRNA Precursors Using Gated Recurrent Units
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    Chapter 27 Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines
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    Chapter 28 PCM: A Pairwise Correlation Mining Package for Biological Network Inference
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    Chapter 29 RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response Filter
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    Chapter 30 NetCoffee2: A Novel Global Alignment Algorithm for Multiple PPI Networks Based on Graph Feature Vectors
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    Chapter 31 Dynamics of a Stochastic Virus Infection Model with Delayed Immune Response
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    Chapter 32 An Approach for Glaucoma Detection Based on the Features Representation in Radon Domain
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    Chapter 33 Screening of Pathological Gene in Breast Cancer Based on Logistic Regression
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    Chapter 34 Analysis of Disease Comorbidity Patterns in a Large-Scale China Population
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    Chapter 35 Stacking Multiple Molecular Fingerprints for Improving Ligand-Based Virtual Screening
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    Chapter 36 Combining mRNA, microRNA, Protein Expression Data and Driver Genes Information for Identifying Cancer-Related MicroRNAs
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    Chapter 37 ENSEMBLE-CNN: Predicting DNA Binding Sites in Protein Sequences by an Ensemble Deep Learning Method
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    Chapter 38 Exploration and Exploitation of High Dimensional Biological Datasets Using a Wrapper Approach Based on Strawberry Plant Algorithm
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    Chapter 39 Prediction of LncRNA by Using Muitiple Feature Information Fusion and Feature Selection Technique
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    Chapter 40 Tri-Clustering Analysis for Dissecting Epigenetic Patterns Across Multiple Cancer Types
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    Chapter 41 Efficient Framework for Predicting ncRNA-Protein Interactions Based on Sequence Information by Deep Learning
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    Chapter 42 BIOESOnet: A Tool for the Generation of Personalized Human Metabolic Pathways from 23andMe Exome Data
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    Chapter 43 Accurate Prediction of Hot Spots with Greedy Gradient Boosting Decision Tree
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    Chapter 44 A Novel Efficient Simulated Annealing Algorithm for the RNA Secondary Structure Predicting with Pseudoknots
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    Chapter 45 TNSim: A Tumor Sequencing Data Simulator for Incorporating Clonality Information
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    Chapter 46 Optimizing HP Model Using Reinforcement Learning
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    Chapter 47 Predicting Microbe-Disease Association by Kernelized Bayesian Matrix Factorization
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    Chapter 48 Similarity-Based Integrated Method for Predicting Drug-Disease Interactions
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    Chapter 49 Nucleotide-Based Significance of Somatic Synonymous Mutations for Pan-Cancer
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    Chapter 50 Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data
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    Chapter 51 Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data
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    Chapter 52 Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions
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    Chapter 53 Computational Prediction of Driver Missense Mutations in Melanoma
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    Chapter 54 Further Evidence for Role of Promoter Polymorphisms in TNF Gene in Alzheimer’s Disease
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    Chapter 55 Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model
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    Chapter 56 acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search
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    Chapter 57 Epileptic Seizure Detection Based on Time Domain Features and Weighted Complex Network
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    Chapter 58 Multi-path 3D Convolution Neural Network for Automated Geographic Atrophy Segmentation in SD-OCT Images
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    Chapter 59 Multi-information Fusion Based Mobile Attendance Scheme with Face Recognition
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    Chapter 60 The Wide and Deep Flexible Neural Tree and Its Ensemble in Predicting Long Non-coding RNA Subcellular Localization
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    Chapter 61 Research on Auto-Generating Test-Paper Model Based on Spatial-Temporal Clustering Analysis
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    Chapter 62 A Semantic Context Model for Automatic Image Annotation
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    Chapter 63 Identifying Transportation Modes Using Gradient Boosting Decision Tree
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    Chapter 64 A Multi-object Optimization Cloud Workflow Scheduling Algorithm Based on Reinforcement Learning
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    Chapter 65 A AprioriAll Sequence Mining Algorithm Based on Learner Behavior
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    Chapter 66 Emotion Recognition Based on Electroencephalogram Using a Multiple Instance Learning Framework
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    Chapter 67 Using Hybrid Similarity-Based Collaborative Filtering Method for Compound Activity Prediction
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    Chapter 68 Improving Initial Model Construction in Single Particle Cryo-EM by Filtering Out Low Quality Projection Images
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    Chapter 69 I-MMST: A New Task Scheduling Algorithm in Cloud Computing
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    Chapter 70 Recognition and Severity Rating of Parkinson’s Disease from Postural and Kinematic Features During Gait Analysis with Microsoft Kinect
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    Chapter 71 Rhino-Cyt: A System for Supporting the Rhinologist in the Analysis of Nasal Cytology
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    Chapter 72 Recovering Segmentation Errors in Handwriting Recognition Systems
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    Chapter 73 A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images
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    Chapter 74 A Model-Free Computer-Assisted Handwriting Analysis Exploiting Optimal Topology ANNs on Biometric Signals in Parkinson’s Disease Research
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    Chapter 75 Particle Swarm Optimization with Convergence Speed Controller for Sampling-Based Image Matting
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    Chapter 76 iCorr-GAA Algorithm for Solving Complex Optimization Problem
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    Chapter 77 Two Possible Paradoxes in Numerical Comparisons of Optimization Algorithms
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    Chapter 78 Mosquito Host-Seeking Algorithm Based on Random Walk and Game of Life
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    Chapter 79 A Novel Energetic Ant Optimization Algorithm for Routing Network Analysis
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    Chapter 80 A Comparison Study of Surrogate Model Based Preselection in Evolutionary Optimization
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    Chapter 81 A Grouping Genetic Algorithm Based on the GES Local Search for Pickup and Delivery Problem with Time Windows and LIFO Loading
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    Chapter 82 Evolutionary Structure Optimization of Convolutional Neural Networks for Deployment on Resource Limited Systems
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    Chapter 83 Research on Vehicle Routing Problem and Its Optimization Algorithm Based on Assembled Building
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    Chapter 84 Research on Vehicle Routing Problem with Time Windows Restrictions
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    Chapter 85 Research on Swarm Intelligence Algorithm Based on Prefabricated Construction Vehicle Routing Problem
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    Chapter 86 Improved Digital Password Authentication Method for Android System
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    Chapter 87 Steepest Descent Bat Algorithm for Solving Systems of Non-linear Equations
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    Chapter 88 User Engagement Prediction Using Tweets
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    Chapter 89 Discrimination and Prediction of Protein-Protein Binding Affinity Using Deep Learning Approach
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    Chapter 90 Principal Component Analysis-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis
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    Chapter 91 Finding Protein-Binding Nucleic Acid Sequences Using a Long Short-Term Memory Neural Network
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    Chapter 92 Constructing Gene Co-expression Networks for Prognosis of Lung Adenocarcinoma
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    Chapter 93 RMCL-ESA: A Novel Method to Detect Co-regulatory Functional Modules in Cancer
Attention for Chapter 47: Predicting Microbe-Disease Association by Kernelized Bayesian Matrix Factorization
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Chapter title
Predicting Microbe-Disease Association by Kernelized Bayesian Matrix Factorization
Chapter number 47
Book title
Intelligent Computing Theories and Application
Published by
Springer, Cham, July 2018
DOI 10.1007/978-3-319-95933-7_47
Book ISBNs
978-3-31-995932-0, 978-3-31-995933-7
Authors

Sisi Chen, Dan Liu, Jia Zheng, Pingtao Chen, Xiaohua Hu, Xingpeng Jiang, Chen, Sisi, Liu, Dan, Zheng, Jia, Chen, Pingtao, Hu, Xiaohua, Jiang, Xingpeng

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Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Postgraduate 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%