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

Format:

Book

Contributor:

Huang, De-Shuang, Editor.

Jo, Kang-Hyun, Editor.

Li, Jianqiang, Editor.

Gribova, Valeriya, Editor.

Hussain, Abir, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 12837

Information Systems and Applications, incl. Internet/Web, and HCI ; 12837

Language:

English

Subjects (All):

Computer vision.

Machine learning.

Application software.

Artificial intelligence.

Computer Vision.

Machine Learning.

Computer and Information Systems Applications.

Artificial Intelligence.

Local Subjects:

Computer Vision.

Machine Learning.

Computer and Information Systems Applications.

Artificial Intelligence.

Physical Description:

1 online resource (XXII, 763 pages) : 372 illustrations, 269 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: Intelligent Computing in Computer Vision, Intelligent Control and Automation, Intelligent Modeling Technologies for Smart Cities, Machine Learning, and Theoretical Computational Intelligence and Applications.

Contents:

Intelligent Computing in Computer Vision

BIDGAN: Blind Image Deblurring with Improved CycleGAN and Frequency Filtering

Emotional interaction computing of actors in the mass incidents

Multi Spatial Convolution Block for Lane Lines Semantic Segmentation

VISFF: An Approach for Video Summarization Based on Feature Fusion

Understanding Safety Based on Urban Perception

Recognition of Multiple Panamanian Watermelon Varieties Based on Feature Extraction Analysis

Javier E. Sánchez-Galán, Anel Henry, Fatima Rangel, Emmy Sáez, Kang-Hyun Jo and Danilo Cáceres-Hernández

STDA-inf: Style Transfer for Data Augmentation Through In-data Training and Fusion Inference

Abnormal Driving Detection Based on Human Pose Estimation and Facial Key Points Detection

Uncertainty-guided pixel-level contrastive learning for biomarker segmentation in OCT images

Wall-following Navigation for Mobile Robot Based on Random Forest and Genetic Algorithm

A study of algorithms for controlling the precision of bandwidth in EMI pre-testing

Intelligent Control and Automation

Flight Control for 6-DOF Quadrotor via Sliding Mode Integral Filter

An Enhanced Finite-Control-Set Model Predictive Control Strategy for PWM Rectifiers with Filter Inductance Mismatch

Deep Integration Navigation Technique Based on Strong Tracking UKF Algorithm

The Application of Theoretical Variance#1 Method and Lifting Wavelet for Optic Gyroscopes

Proposing a Novel Fixed-Time Non-Singular Terminal Sliding Mode Surface for Motion Tracking Control of Robot Manipulators

A Neural Terminal Sliding Mode Control for tracking control of robotic manipulators in uncertain dynamical environments

Fuzzy PID Controller for Accurate Power Sharing and Voltage Restoration in DC Microgrids

Sensor-less Contact Force Estimation in Physical Human-Robot Interaction

Model-Free Continuous Fuzzy Terminal Sliding Mode Control for Second-Order Nonlinear Systems

Deep Q-learning with Explainable and Transferable Domain Rules

Influence of interference and noise on indoor localization systems

Exploration of Smart Medical Technology based on Intelligent Computing Methods

Blockchain Based Trusted Identity Authentication in Ubiquitous Power Internet of Things

Intelligent Modeling Technologies for Smart Cities

A YOLOv3-based Learning Strategy for Vehicle-Thrown-Waste Identification

Research on Chinese Word Segmentation Based on Conditional Random Fields

Knowledge Discovery and Data Mining

Financial Distress Detection and Interpretation with Semi-supervised System

Solving online food delivery problem via an effective hybrid algorithm with intelligent batching strategy

Graph Semantics Based Neighboring Attentional Entity Alignment for Knowledge Graphs

An Improved CF tree Clustering Based on Tissue-Like P System

Classification method of power consumption periods based on typical daily load curve

A data processing method for load data of electric boiler with heat reservoir

Aggregate model for power load forecasting based on conditional autoencoder

Geographical Entity Community Discovery Based on Semantic Similarity

Many-to-many Chinese ICD-9 Terminology Standardization based on Neural Networks

Chinese Word Sense Disambiguation Based on Classification

Research on the Authorship of Dream of the Red Chamber Based on Link Prediction

Span Representation Generation Method in Entity-Relation Joint Extraction

Machine Learning

Prediction of Railway Freight Customer Churn Based on Deep Forest

Multi-View of Data for Auto Judge Model in Online Dispute Resolution

Multi-Task Learning with Riemannian Optimization

Audio-Visual Salient Object Detection

Research on Deep Neural Network Model Compression Based on Quantification Pruning and Huffmann Encoding

Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification

Delay to Group in Food Delivery System: A Prediction Approach

Variational EM Algorithm for Student-Mixtures of Gaussian Processes

Ensemble learning with resampling for imbalanced data

Dual-channel recalibration and feature fusion method for liver image classification

Research on Path Planning Algorithm for Mobile Robot Based on Improved Reinforcement Learning

OnSum: Extractive Single Document Summarization Using Ordered Neuron LSTM

Diagnosing COVID-19 on Limited Data: A Comparative Study of Machine Learning Methods

An Inverse QSAR Method Based on Decision Tree and Integer Programming

A Link-Based Ensemble Cluster Approach for Identifica-tion of cell types

A defect detection method for diverse texture fabric based on CenterNet

Accelerating Deep Reinforcement Learning via Hierarchical State Encoding with ELMs

Mal PCASVM: Malonylation Residues Classification with principal component analysis Support Vector Machine

Theoretical Computational Intelligence and Applications

The influence of sliding windows based on MM-6mAPred to identify DNA N6-methyladenine

RF Bert: A classification model of Golgi apparatus based on TAPE_BERT extraction features

PointPAVGG: An incremental algorithm for Extraction of Points' Positional feature using VGG on Point Clouds

Predicting Course Score for Undergrade Students using Neural Networks

Classification of heart sounds using MFCC and CNN.

Other Format:

Printed edition:

ISBN:

978-3-030-84529-2

9783030845292

Access Restriction:

Restricted for use by site license.