Intelligent Computing Technology and Automation
Proceedings of the 16th International Conference (ICICTA 2023), Xi'an, China, 24-25 October 2023
1st Edition
Published on 15. February 2024
1246 pages
978-1-64368-487-1 (ISBN)
Description
Artificial Intelligence (AI) is a rapidly developing field of computer science which integrates multiple disciplines such as computer science, psychology, and philosophy. It is a technology that develops theories, methods, technologies, and application systems to simulate, extend, and expand human intelligence by attempting to understand its essence, producing a new, intelligent machine that can respond in a way similar to human intelligence. Artificial intelligence now plays an increasingly important role in the development of global industries and economies, and as such is currently changing our world significantly, making AI research a hot topic worldwide.
This book presents the proceedings of ICICTA 2023, the 16th International Conference on Intelligent Computing Technology and Automation, held on 24-25 October 2023 in Xi'an, China. The conference is an annual forum dedicated to emerging and challenging topics in AI and its applications, and its aim is to bring together an international community of researchers and practitioners in the field of AI to share the latest research achievements, discuss recent advances influence future direction, and promote the diffusion of the discipline throughout the scientific community at large. A total of 322 submissions were received for ICICTA 2023, and each paper received at least 2 review reports in a rigorous peer-review procedure. Based on these reports, 141 papers were ultimately accepted and are included in this book.
The book offers a current overview of developments in AI technology, and will be of interest to all those working in the field.
This book presents the proceedings of ICICTA 2023, the 16th International Conference on Intelligent Computing Technology and Automation, held on 24-25 October 2023 in Xi'an, China. The conference is an annual forum dedicated to emerging and challenging topics in AI and its applications, and its aim is to bring together an international community of researchers and practitioners in the field of AI to share the latest research achievements, discuss recent advances influence future direction, and promote the diffusion of the discipline throughout the scientific community at large. A total of 322 submissions were received for ICICTA 2023, and each paper received at least 2 review reports in a rigorous peer-review procedure. Based on these reports, 141 papers were ultimately accepted and are included in this book.
The book offers a current overview of developments in AI technology, and will be of interest to all those working in the field.
More details
Series
Language
English
Place of publication
London
Netherlands
Publishing group
IOS Press
Target group
Professional and scholarly
File size
89,40 MB
ISBN-13
978-1-64368-487-1 (9781643684871)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Zhixiang Hou
Intelligent Computing Technology and Automation
Proceedings of the 16th International Conference (ICICTA 2023), Xi'an, China, 24-25 October 2023
Book
02/2024
1st Edition
IOS Press,US
€280.78
Shipment within 10-20 days
Content
- Intro
- Title Page
- Preface
- About the Conference
- Contents
- Power Comprehensive Energy Optimization Scheme Based on Improved PSO Algorithm
- New Energy Distribution Network Scheduling Based on Optimized PSO
- Power AGC Allocation Method Based on Genetic Algorithm
- Time Domain Dielectric Spectrum Analysis of High Voltage Bushing Insulation State Based on Wavelet Transform
- Fault Diagnosis of CNC Machine Tools Based on Neural Network Optimization
- Modeling and Simulation of Intelligent Vehicle Flow Guidance Based on Agent
- A Video Resource Recommendation System Based on Deep Learning
- A Kalman Filter Model for Ship Navigation Accuracy Optimization
- Feature Extraction of Motor Imagery EEG Signals Based on PSD CSP Fusion
- Human Motion Data Acquisition System of Intelligent Motion Bracelet Based on Human-Computer Interaction
- Fast Estimation Model of Green Building Project Cost Based on Support Vector Regression Machine
- Intelligent Recommendation Method for Talent Resources Based on Big Data
- Improved Human Resource Allocation Method Based on Genetic Algorithm
- Intelligent Remote Search and Rescue Vehicle
- Intelligent Temperature Monitoring for High Voltage Cable with Non-Invasive Low Power Consumption
- Research on Electrical Equipment Overheating Fault Identification Based on Infrared Technology
- Intelligent Remote Monitoring Method for Power Operation Site Based on Video Recognition Technology
- Optimization Method of Energy Storage Capacity of New Energy Vehicle Power Battery Based on Fuzzy Control
- A Study on Plant Classification Based on SE-ResNext
- A Road Planning Optimization Method Based on Beam Search
- Fusion of Pattern Recognition and Motion for Multi-Channel Motion Imagery EEG Based on Deep Spatiotemporal Feature
- Power Resource Allocation in Industrial Park Based on Edge Computing
- Research on Carbon Emission Prediction of Coal Combustion in Power Generation Enterprises Based on Rough Set and Grey SVM
- Detection Method of Multi-Level Residual Network DDoS Attack Based on Random Forest
- Research on Automatic Identification of Internet of Things Illegal Intrusion Based on Unsupervised Learning
- Hierarchical Network Security Situational Awareness Model Based on Honeypot Technology
- Research on Prediction of Battery Residual Discharge of New Energy Electric Vehicle Based on Genetic Algorithm
- Design of Remaining Parking Space Prediction System of Smart Parking Lot Based on RFID Tag
- Research on Named Entity Recognition and Knowledge Graph Construction Based on BERT-BiLSTM-CRF
- A Method for Automatically Capturing Abnormal Data in Power Monitoring Networks Based on Deep Learning
- Reliability and Safety Evaluation of the Station Autonomous Machine System Based on Markov Model
- Fault Detection of Spindle Rolling Bearings in CNC Machine Tools Based on Odorless Kalman Filtering Algorithm
- Image Information Prompt: Tips for Learning Large Language Models
- Study on Virtual Evaluation of Far Side Occupant Protection Based on CNCAP
- Design of Intelligent Underwater Cable Inspection and Control System
- A Fast Fault Diagnosis Method for Power Transformers Based on Convolutional Neural Networks
- Weather Prediction Based on Multivariate LSTM Neural Network Model
- Ecological Benefit Evaluation of Low Carbon Enterprises Based on Neural Network
- A Methodology for Generating and Optimizing Chain-of-Thought Based on Knowledge Graphs
- Chatglm-6b-pl: Application of Parallel Reinforcement Models for Large Models in Unbalanced Medical Small Sample Datasets
- A Diagnosis Method for Electrical Equipment Overheating Fault Based on Mean Shift Algorithm
- Neural Network Prediction Model for Transmission Line Icing in Freezing Rain Conditions Based on Multi-Source Data Fusion
- Sound Source Localization System Based on TDOA Algorithm
- Identification of Pests and Diseases Based on Cascaded Convolutional Neural Network
- An Optimized UniLM Model of Traditional Chinese Medicine Intelligent Question Answering
- Syntax Error Detection in English Text Images Based on Sparse Representation
- Question-and-Answer Juxtaposition Based Chat Model for Multi-Turn Medical Inquiry
- GPU Based License Plate Recognition Algorithm
- Personalized Travel Route Recommendation Method Based on Knowledge Map
- Industrial Internet Communication Architecture Based on Embedded IPv6 Fuzzy Control
- Remote Management Method of IoT Based on ESIM Card
- IPv4 to IPv6 Transition Strategy Based on Dual Stack Protocol
- An Intelligent Defense Method for IPv6 Networks Based on Deep Neural Networks
- Sports Teaching Action Recognition Based on Hybrid CNN-HMM
- Intelligent Entry Method for Mobile Accounting Voucher Based on Image Recognition
- Design of Financial Early-Warning Model Based on Decision Tree
- An Agent-Based Retrieval System for Ideological and Political Course Resources
- Academic Literature Feature Extraction Based on Cluster Mining
- A Building Energy Consumption Prediction Model Based on Data Mining and Cluster Analysis
- Pharmaceutical Laboratory Course Scheduling System Optimization Based on Genetic Algorithm
- A Project Risk Prediction Model Based on Bayesian Networks
- Fast Location Method of Geological Disaster Area Based on Remote Sensing Image
- Business Credit Evaluation Model Based on Neural Network Under Financial Sharing Mode
- Behavior Analysis of Learner Based on Big Data and Improved K-Means Algorithm
- Teaching Quality Evaluation for English Grading Based on Neural Network
- Library Information Resources Integration Based on Linked Data and Intelligent Recommendation
- Art Image Attribute Classification Based on Support Vector Machine
- Agricultural Financial Supply Chain Model Based on System Dynamics and Mathematical Logic Analysis
- Enterprise Green Construction Cost Control Strategy Based on BP Neural Network
- Power Grid Energy Storage Control Strategy for New Energy Access
- Clustering Research on Influencing Factors of Local Green Finance and Taxation Based on Factor Analysis Method
- Teaching Resource Recommendation Approach Based on Granular Sequence Pattern and Association Mining
- Commerce Product Recommendation Algorithm Based on Collaborative Filtering
- A Teaching Evaluation Model Based on SVM Multi Classification
- Enterprise Financial Early Warning Model Based on Association Mining
- Neural Network Implementation Based on Particle Swarm Optimization in Teaching Quality Evaluation
- Electronic Bill Fast Recognition Based on OCR and CNN
- Hybrid Teaching Platform Design for Ideological and Political Courses Based on K-Means Clustering
- Piano Teaching Action Recognition Based on LSTM
- Intelligent Facial Expression Generation Method Based on Artificial Intelligence
- Oral English Course Online Recommendation System Based on Support Vector Machine
- Prediction Model of User Investment Behavior Based on Deep Learning
- MOOC Teaching Management Scheme Based on Optimized SVM
- Analysis on the Competence Characteristics of Counselors Based on AHP Neural Network
- A Model of Talent Management in Universities Based on Decision Tree and Correlation Analysis
- Drug Bioavailability Prediction Research Based on Neural Network
- Foreign Language Teaching Resources Recommendation Approach Based on Knowledge Map
- Evaluation of College Teaching Quality Based on Association Data Mining
- Landscape Design Scheme Evaluation Based on BP Neural Network
- A Cost Prediction Model for Construction Projects Based on Bayesian Networks
- A Comprehensive Evaluation Method for Physical Education Teaching Quality Based on Fuzzy Clustering
- Design and Implementation of a Science and Technology Management System Based on Decision Tree Algorithm
- A Financial Accounting Voucher Recognition Strategy Based on Deep Learning
- A Shared Financial Risk Warning Strategy Based on Deep Learning
- Enterprise Financial Management and Decision System Based on Improved Decision Tree
- Feature Extraction and Attack Correlation Detection in Power Communication Networks Based on Convolutional Neural Networks
- Paper Cuttings Pattern Feature Extraction Based on Machine Vision
- Design of Smart Grid System Based on IBA Architecture
- Parameter Extraction of Time-Frequency Images of Partial Discharge Pulse Waveforms: Moment Feature
- A Software Code Infringement Detection Scheme Based on Integration Learning
- Intelligent Teaching Interaction System Design Based on Multi Agent
- Research on Meteorological Prediction Method of High-Voltage Overhead Transmission Line Channel Based on Encoder-Decoder LSTM
- Research on Partial Discharge Localization Method of Transformer Based on the Simulated Annealing Algorithm
- Simulation Study on Ultrasonic Signal Propagation Characteristics of Partial Discharge in Transformers
- Text Semantic Analysis Algorithm Based on LDA Model and Doc2vec
- BotHunter: Distributed Malicious Domain Name Detection Model Based on Deep Learning and Blockchain
- Heterogeneous Data Integration and Transformation Scheme Based on XML and Agent
- Financial Data Anomaly Recognition Model Based on Improved Support Vector Machine
- Feedback Analysis of Digital Course Teaching Effectiveness Based on Neural Network
- Intelligent Diagnosis Model for Circuit Simulation Teaching Based on BP Neural Network
- Intelligent Extraction of Financial Bill Information Based on LeNet
- Multi Agent Economic Management Analysis Model Based on Complex System Theory
- Financial Management Performance Evaluation of Universities Based on Comprehensive Weighting K-Means Algorithm
- Electronic Music Signal Denoising Method Based on Naive Bayes
- Market Electricity Price Forecasting Model Based on ARIMA-LSTM
- Human Exercise Intensity Monitoring Method Based on Smart Bracelet
- An Accurate Recommendation Method of Online Teaching Video Based on Collaborative Filtering
- A Grey Forecasting Model for Energy Demand Based on Optimized BP Neural Networks
- Testing and Application of Expressway Roadside Perception Method Based on Camera-Radar Fusion
- E-Commerce Personalized Recommendation System for Mobile Platform Based on K-Means Clustering
- Artwork Image and Retrieval Strategy Based on Feature Fusion and Neural Network
- Handwritten English Character Recognition Method Based on Deep Learning
- Painting Style Recognition and Classification Based on Convolutional Neural Network and Multi-Kernel Learning
- An GMM-HMM Based Intelligent Scoring Mechanism for Oral English Pronunciation
- Power System Load Forecasting Method Based on Neural Network
- A Cross Language Information Retrieval Model Based on Latent Semantic Analysis
- Statistical Analysis of Influencing Factors of Traffic Accidents Based on Data Mining
- A Big Data Analysis Model for College Employment Based on Decision Tree and Apriori
- Security Monitoring System for Power IoTs Based on Machine Learning
- Complex Chinese Word Segmentation Method Based on Hybrid Deep Learning Technology
- Intelligent Power Communication Network Model Based on Improved SOM Algorithm
- Analysis of Production Efficiency of Power Supply Enterprises Based on DEA Model and K-Means Clustering
- Financial Analysis System Design for Institutional Users Based on Deep Learning
- Teaching Information Management System Design Based on Decision Tree
- Personalized Recommendation for Network Teaching Courses Based on Combined Filtering of Deep Learning and K-Means
- Art Image Identification Based on Feature Recognition and BP Neural Network
- Optimization of Artistic Architecture Modeling Based on Genetic Algorithm
- A Neural Network Evaluation Model for College Students' Mental Health
- Enterprise Marketing Big Data Analysis Model Based on Decision Tree Algorithm
- Influencing Factors Analysis of Regional Industrial Economy Based on Neural Network and Ridge Regression Model
- Influencing Factors Analysis of College Employment Based on Fuzzy Clustering
- Subject Index
- Author Index
