- Multi-Modal Dynamic Information Selection Pyramid Network for Alzheimer's Disease Classification.- Text-Guided Vision Mamba for Alzheimer's Disease Prediction using 18F-FDG PET.- EEG-based Recognition of Knowledge Acquisition States in Second Language Learning.- A study on the neural mechanism of the spatial position of speech in different masking types affecting auditory attention processing.- DSCF-DE: A Query-based Object Detection Model via Dynamic Sampling and Cascade Fusion.- MDFNet: Multi-Dimensional Fusion Attention for Enhanced Image Captioning.- Dynamic Points Location of Professional Model Pose Based on Improved Network Stacking Model.- A Redundancy Free Facial Acne Detection Framework Based on Multi-view Dermoscopy Images Stitching.

- A New Device Placement Approach with Dual Graph Mamba Networks and Proximal Policy Optimization.- Cross-Generational Contrastive Continual Learning for 3D point cloud semantic segmentation.- TGAM-SR: A Sequential Recommendation Model for Long And Short-Term Interests Based on TCN-GRU And Atten-tion Mechanism.- Investigating ChatGPT's Translation Hallucination from an Embodied-Cognitive Translatology Perspective.- A Study on Chinese Acronym Prediction Based on Contextual Thematic Consistency.- Learning Supportive Two-Stream Network for Audio-Visual Segmentation.- Multi-exposure Driven Stable Diffusion for Shadow Removal.- Human disease prediction based on symptoms using novel machine learning.

- CAT-LCAN: A Multimodal Physiological Signal Fusion Framework for Emotion Recognition.- A novel thermal imaging and machine learning based privacy preserving framework for efficient space allocation, utilisation and management.- Training Feature-Awared GPU-Memory Allocation and Management for Deep Neural Networks.- TR-LDA: An Improved Potential Topic Recognition Model.- Brain-inspired object domain adaptive segmentation.- Task adaptive feature distribution based network for few-shot fine-grained target classification.- ST TransNeXt: A Novel Pig Behavior Recognition Model.- A Method for Predicting The RUL of HDDs Based on Bidirectional LSTM and Transformer.

- Spatio-temporal Graph Learning on Adaptive Mined Key Frames for High-performance Multi-Object Tracking.- From image to the ground: Recover the ground location of vehicles from traffic cameras using neural networks.- In-depth Evaluation and Analysis of Hyperspectral Unmixing Algorithms with Cognitive Models.- Effective Gas Classification using Singular Spectrum Analysis and Random Forest in Electronic Nose Applications.