ACSEIT will be held as a virtual Online Video Conference on Microsoft Teams Platform
1. All oral presentations should be in video form.
2. Posters should be in PDF or PowerPoint form.
3. Both videos and posters should be shared by OneDrive/Google Drive/Dropbox link and sent to us.
4. Participants will be informed about the access to the video conference one week before conference date.
5. We will set the specific conference time according to the time zone of all participants

 
 

Part of accepted abstracts
Fault Diagnosis and Localization Method for Wind Farm Collector Lines Based on Traveling Waves Intelligent Optimization of Material Supply Chain via Machine Learning
Quality Optimization of Chinese-English Machine Translation based on Artificial Intelligence
Research on fault detection method of aerial sensor based on neural network
Application of Big Data Analysis in Improving the Efficiency of Sensor Reliability Testing
A Model of Abnormal Detection Algorithm for Longitudinal Comparison of Current Transformers
Research on art style transformation using deep learning and generative adversarial network
Application of Machine Learning in Smart Grid Fault Detection System
Personalized Recommendation of Interior Design Styles Using Deep Learning Techniques
Application of Time Series Analysis in Predicting Industrial Data Security Events
Development on Industrial Data Anomaly Detection System Based on Machine Learning
A LSTM Algorithm For Sentiment analysis personalized recommendation improvements
A Virtual reality technology For Identification of false transactions in electronic commerce
A K-means Algorithm For Digital economy and secure management of seed supply
Application of deep learning in enterprise digital transformation strategy
A method for determining the abnormal state of current transformer accuracy based on statistical relative eigenvalue
Application of CNN in condition monitoring of high voltage switchgear
Optimization of Higher Vocational English Teaching Design Based on Optimizing Apriori Algorithm
A LSTM algorithm For Regional economic forecast of e-commerce in post-epidemic era
A K-means Algorithm For Design of Marine interactive device and human-computer interaction
Real time Data Flow Processing and Optimization Scheduling Scheme for Power System Based on Kafka
Road Damage Detection Based on Improved YOLOv8 Algorithm
Design of an Immersive Experience Emotion Recognition and Analysis System Based on Deep Learning
State monitoring and fault prediction of power grid equipment are carried out by using deep learning technology
Research on surface defect detection technology of power equipment based on image processing
Optimization of wind power generation prediction model based on machine learning
Online monitoring and early warning of arc grounding fault overvoltage in 10kV distribution system based on Internet of Things technology
Research on fault prediction and diagnosis system of high voltage switchgear based on supervised learning algorithm
Simulation and Improvement of Sports Actions in Virtual Reality Education and Sports Environment
Optimization of French Automatic Translation System Based on Neural Networks
Real Time Processing and Analysis of Truck Blind Spot Images Based on Computer Vision
Application of Deep Learning Models for Multimodal Information Fusion in Intelligent Information Classification
Data Security and Privacy Protection of Technology Achievement Transformation Platform in Vocational Colleges Based on Blockchain
Decentralized identity management based on Autonomous Identity (SSI) in e-commerce and its application to KOL
Use the Ripple consensus algorithm to achieve transparent cross-border payments in e-commerce
Genetic study of sports injury and Personalized treatment strategy: Risk assessment and intervention of ACL injury in football players based on gene polymorphism