Latest Research in Advanced Neural Network Applications

Top Research Topics in Advanced Neural Network Applications

• Advanced Neural Network Applications — 13 papers
• Advanced SAR Imaging Techniques — 10 papers
• Computer Vision and Pattern Recognition — 9 papers
• Image Enhancement Techniques — 3 papers
• Infrared Target Detection Methodologies — 3 papers
• Robotics — 2 papers
• Underwater Vehicles and Communication Systems — 2 papers
• Oil Spill Detection and Mitigation — 2 papers
• Synthetic Aperture Radar (SAR) Applications and Techniques — 2 papers
• Underwater Acoustics Research — 2 papers

Highest-Cited Papers

1. Mamba-OrthoNet: unified global–local feature fusion and angular encoding for accurate ship orientation detection
2. TIO-Former: Ultra-Lightweight 6-Directional ToF-Inertial Odometry for Nano-UAVs via a Streaming Causal Transformer
3. Lightweight sonar target detection based on dual-domain hierarchical evolution
4. FH-YOLO: a cross-stage stabilized framework for underwater benthic object detection
5. SAGA-YOLO: A High-Accuracy Detector for SAR Aircraft in Complex Environments
6. Underwater target detection based on target feature enhancement and semantic-position path aggregation
7. SeaMamba: Frequency-Stabilized Selective State-Space Multiscale Detection for SAR Ships in Complex Maritime Scenes
8. Beyond Pixel Similarity: Task-Aware Evaluation of GAN-Based Synthetic Sonar Data for Robotic Perception
9. RPT-Fusion: A Time-Lag-Aware Quality-Adaptive Radar–Camera Fusion Framework for Water-Surface Object Detection
10. Memory-augmented graph convolutional network for vision ship recognition in intelligent maritime surveillance systems
11. MSN-TE: a network for multi-scale object detection in turbid environments
12. DTKDP: A Dual Teacher Knowledge Distillation and Pruning Framework for Lightweight Oriented SAR Ship Detection
13. SDE-Net: A Strip-Directional Dynamic-Scale and Edge-Aware Network for SAR Oil Spill Segmentation
14. Edge-Aware Attention with Shallow-Guided Fusion for Ship Detection in Remote Sensing
15. A Frequency-Gated Decoupled-Synergy Network for SAR target detection
16. Boosting Multi-Class SAR Oriented Object Detection via Geo-Topology-Guided Diffusion Synthesis
17. Hierarchical Sparsity-Guided DeepLassoNet: Interpretable PolSAR Feature Selection for Typical Land-Cover Classification in the Hunshandake Sandy Land
18. A Hybrid Autoencoder YOLO Framework with Spatial Regularization for Rapid Small Maritime Object Detection
19. Scattering–Semantic Collaborative Learning via Asymmetric Dual-Branch DINO Network for Inshore SAR Ship Detection
20. A Spatial Prior-Guided Feature Enhancement and Multi-Branch Complementary Learning Framework for Small Ship Detection in SAR Images