The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023.
The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics.
Deep learning-driven pattern recognition, computer vision and
its industrial applications: Improved YOLOv5s Based Steel Leaf Spring
Identification.- A bughole detection approach for fair-faced concrete based
on improved YOLOv5.- A bughole detection approach for fair-faced concrete
based on improved YOLOv5.- A Lightweight Sensor Fusion for Neraul Visual
Inertial Odometry.- A Two-stage Framework for Kidney Segmentation in
Ultrasound Images.- Applicability Method for Identification of Power
Inspection Evidence in Multiple Business Scenarios.- Applicability Method for
Identification of Power Inspection Evidence in Multiple Business
Scenarios.- Investigating the Transferability of YOLOv5-Based Water Surface
Object Detection Model in Maritime Applications.- Physical-property Guided
End-to-End Interactive Image Dehazing Network.- A Clothing Classification
Network with Manifold Structure Based on Second-order
Convolution.- Multi-size Scaled CAM for More Accurate Visual Interpretation
of CNNs.- Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire
Recognition Algorithm.- Natural language processing, knowledge graphs,
recommender systems, and their applications: An Enhanced Model based on
Recurrent Convolutional Neural Network for Predicting the Stage of Chronic
Obstructive Pulmonary Diseases.- Hybrid Recommendation System with Graph
Neural Collaborative Filtering and Local Self-Attention Mechanism.- MAMF: A
Multi-level Attention-based Multimodal Fusion Model for Medical Visual
Question Answering.- ASIM: Explicit Slot-Intent Mapping with Attention for
Joint Multi-Intent Detection and Slot Filling.- A Triplet-Contrastive
Representation Learning Strategy for Open Intent Detection.- A User Intent
Recognition Model for Medical Queries Based on Attentional Interaction and
Focal Loss Boost.- 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.
