International Conference on Neural Computing for Advanced Applications

Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security: Multiscale Redundant Second Generation Wavelet Kernel-Driven Convolutional Neural Network for Rolling Bearing Fault Diagnosis.- Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition.- Mechanical fault diagnosis of high-voltage circuit breakers via hybrid classifier with DS evidence fusion.- Multi-feature fusion and reinforcement model for high-speed train axle box bearing fault diagnosis under variable speed domain.- Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks.- Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2): Data-Model Intergrowth Makes Better Time Series Prediction.- Spatial-Temporal Electric Vehicle Charging Demand Forecasting: A GTrans approach.- A Long Short-term MemoryModel for COVID-19 Forecasting Using High-efficiency Feature Representation.- STEPWISE FUSION TRANSFORMER FOR AFFECTIVE VIDEO CONTENT ANALYSIS.- An adaptive clustering approach for efficient data dissemination in IoV.- Strategy determination for multiple USVs: a min-max Q-learning approach.- Urban Emergency Logistics Planning optimization model considering priority under COVID-19.- Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks.- Applications of Data Mining, Machine Learning and Neural Computing in Language Studies: Teaching Pre-editing for Chinese-to-English MT: An Experiment with Controlled Chinese Rules.- Research on the Application of Computer Aided Corrective Feedback in Foreign Language Grammar Teaching.- Student-Centered Education in Metaverse: Transforming the Language Listening Curriculum.- A Positive-Negative Dual-View Model for Knowledge Tracing.- A Study of Chinese-English Translation Teaching Based on Data Mining.- Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications.- Novel TD-based adaptive control for nonlinearly parameterized stochastic systems.- A Data-Driven Intermediate Estimator-Based Approach for Collaborative Fault-Tolerant Tracking Control of Multi-Agent Systems.- Anomaly detection and alarm limit design for in-hole bit bounce based on interval augmented Mahalanobis distance.- Other Neural computing-related topics.- A neural approach towards real-time management for integrated energy system incorporating carbon trading and electrical vehicle scheduling.- Research on Chinese Diabetes Question Classification with the Integration of Different BERT Models.- Shared Task 1 on NCAA 2023: Chinese Diabetes Question Classification.- SFDA:Chinese Diabetic Text Classification Based on Sentence Feature LevelData Augmentation.