Cognitive Computation and Systems

.- MWAA-Former: A Multi-Scale Window Agent Attention Network for Sparse Feature Recognition.
.- VSFNet: A Multi-Scale Feature Enhancement Network Based on Spatial State Modeling and Frequency-Domain Filtering.
.- Frequency-Domain Augmented Re-parameterized YOLO for Medical Object Detection.
.- High-Resolution Class Activation Mapping for Weakly Supervised Object Localization.
.- RDC-XLSTM: A smart contract vulnerability detection with retrieval-enhanced generation and contextual long memory.
.- Co-Support Few-Shot Segmentation via Internal Complement and Intra Balance.
.- A Handheld Multi-Line 3D Scanning Simulation Platform based on Optical-Inertial Signal Generation.
.- Deep neural network based unsupervised artifact detection method on electroencephalography.
.- EEG Lead Selection and Interpretable Deep Learning Model for Depression Diagnosis.
.- CBFOD-YOLO: A Coal Mine Conveyor Belt Foreign Object Detection Model Based on an Improved YOLOv11 Architecture.
.- Performance Analysis of Pancreas Segmentation from CT Images Using Deep Learning.
.- NLW-YOLOv8n: a novel lightweight PCB small target defect detection algorithm.
.- Research of Weld Seam Segmentation Method Based on Point Cloud Data.
.- Gypsum Board Defect Detection Based on Lightweight Networks.
.- Automatic Fabric Defect Detection System: Optimization of Lightweight Architecture with Cloud-Edge Computing Integration.
.- MBCTN: A Multi-Band Convolutional Tensor Network for Speech Imagery EEG Decoding.
.- Semantic-fused Diffusion Model for Thangka Image Super-Resolution Based on Constructed Dataset.
.- TCLo: Transformer optimized for capturing local features in point cloud semantic segmentation.
.- DC-Net:Robust Point Cloud Normal Estimation with Dynamic Convolution.
.- Efficient Real-Time Traffic Sign Detection for Autonomous Driving in Adverse Weather Using Deep Learning Models.
.- Energy-Efficient Multi-Layer Adaptive Transmission with Entropy-Weighted TOPSIS for Diverse Contents.
.- Learning to Enhance Low-Light Images via Salient Feature Representation and Feature Integration.
.- Mold positioning and measurement path planning system based on binocular structured light.
.- Improvement of YOLO-v11 Small Target Detection Model Based on Multi-Scale Feature Enhancement and Cross-Scale Attention.
.- Early Fault Monitoring of Engineering Equipment Based on Improved Transformer.
.- Model-independent Debiasing Algorithm Based on Probabilistic Correlation for Scene Graph Generation.
.- Toward Enhanced Neural Decoding: A Framework for Reconstructing EEG Features from fMRI BOLD Signals.
.- A Lightweight Semantic Segmentation Network for UAV Remote Sensing Images: HWD-Deeplab v3+.
.- SLG-Flow: A Unified Framework from Semantic Labeling to Visual Generation.
.- A CNN-based Deep Reinforcement Learning Approach for Imbalanced Walking Direction Recognition.
.- CNN-BiLSTM Hybrid Neural Network Deep Learning Model for Flight Pilot Stress Detection.
.- SemGNG-CPC: A Semantic Topology-Aware Self-Supervised Framework for EEG-Based Emotion Recognition.
.- Medical super-resolution reconstruction network for downstream tasks based on wavelet analysis.
.- An Object Detection and Force Estimation Method based on a Single-point Proximity-capacitance Sensor.
.- Application of large models in the diagnosis of lung diseases.
.- Riesz Transform-Based Fine-Grained Edge Enhancement in Multi-Channel CNNs.
.- Deep Learning-based Inkjet Code Recognition Technology for Cotton Bales.
.- Research on Laser-Based Visual Navigation for AGVs with Multi-Sensor Fusion and Deep Learning.