Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning

Engineering, Ocean Engineering, Information Science, Computer Science, Artificial Intelligence,
underwater image enhancement   deep learning   color correlation   object detection   semantic collaborative learning   invertible network   heuristic prior  

Academic Background and Problem Statement Underwater images have significant application value in fields such as marine exploration, underwater robotics, and marine life identification. However, due to the refraction and absorption of light by water, underwater images often suffer from low contrast and color distortion, which severely impacts the a...

From Behavior to Natural Language: Generative Approach for UAV Intent Recognition

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
UAV   intent recognition   generative model   cross-modal   time series   deep learning   confrontation environment  

UAV Behavior Intent Recognition Based on Generative Models: A Cross-Modal Study From Behavior to Natural Language Background and Research Objectives In recent years, Unmanned Aerial Vehicle (UAV) technology has advanced rapidly and has found widespread applications in civilian and military domains, including search and rescue, precision agriculture...

Enhancing Aerial Object Detection with Selective Frequency Interaction Network

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
aerial object detection   frequency-domain features   selective frequency interaction   convolutional neural networks   feature extraction   deep learning   computer vision  

Selective Frequency Interaction Network for Improved Aerial Object Detection Background and Problem Statement With the advancements in computer vision, aerial object detection has become a critical research focus in remote sensing. This task aims to identify targets such as vehicles or buildings from aerial images captured at varying angles and alt...

Spatio-Temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
smart grids   false data injection attacks   adversarial attacks   spatio-temporal graphs   graph neural networks   machine learning   cybersecurity  

Title: Generating and Detecting Spatio-Temporal Graph-Based Adversarial False Data Injection Evasion Attacks in Smart Grids Background With the continuous development of modern smart grids, the grid, as a typical Cyber-Physical System (CPS), faces numerous security threats due to the extensive exchange of data between its components. Among these, F...

Simplified Kernel-Based Cost-Sensitive Broad Learning System for Imbalanced Fault Diagnosis

Engineering, Mechanical Engineering, Information Science, Computer Science, Artificial Intelligence,
fault diagnosis   imbalanced data   broad learning system   cost-sensitive learning   kernel mapping  

Research Report on the Simplified Kernel-Based Cost-Sensitive Broad Learning System (SKCSBLS) for Imbalanced Fault Diagnosis Research Background and Significance With the advent of Industry 4.0, smart manufacturing increasingly relies on industrial big data analytics. By extracting critical insights from machine operation data, the effectiveness of...