IEEE

AE-CNN Ensemble: A Novel Architecture for Effective Network Intrusion Detection and Classification

Abstract: The escalating scale and sophistication of cyberattacks pose a formidable challenge to conventional intrusion detection systems (IDS) because they lack the flexibility to adapt to evolving ...
IEEE

Removal Then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection

Abstract: In recent years, object detection utilizing both visible (RGB) and thermal infrared (IR) imagery has garnered extensive attention and has been widely implemented across a diverse array of ...
IEEE

Phrase Grounding-Based Style Transfer for Single-Domain Generalized Object Detection

Abstract: Single-domain generalized object detection aims to enhance a model’s generalization to multiple unseen target domains using only data from a single source domain during training. This is a ...
IEEE

Lightweight Multiscale Feature Fusion and Multireceptive Field Feature Enhancement for Small Object Detection in the Aerial Images

Abstract: Small uncrewed autonmous vehicles (UAVs) equipped with deep learning models are increasingly used to detect small objects both on the ground and in aerial environments. Since small objects ...
IEEE

Robotic Detection of Deformed Objects for Marine Debris Management

The growing presence of trash in our water bodies highlights the urgency of removing marine debris. Autonomous underwater vehicles (AUVs) equipped with object detection capabilities can play a vital ...
IEEE

CNN vs. Transformer-Based Models for Deepfake Detection: A Comparative Analysis

Abstract: As deepfake technology has rapidly progressed, it has become a concern for media authenticity, cybersecurity, and digital forensics. In this work, we compare and contrast CNNs and ...
IEEE

A Patch-Based CNN Approach for Object Detection Using RGB and NIR Image Fusion

Abstract: This study explores the fusion of RGB and NearInfrared (NIR) images for object detection. Three fusion techniques, such as RedSwap, Heatmap, and the proposed NIRR Difference, were evaluated ...
IEEE

Spatial-Frequency Collaborative Learning for Camouflaged Object Detection

Abstract: Camouflaged object detection (COD) is a challenging task that struggles to accurately detect the objects concealed in the surrounding environment. This is largely attributed to the intrinsic ...
IEEE

Detection and Mitigation of False Data Injection Attacks in DC Microgrids: A UIO, Luenberger Observer, and CNN-Based Approach for 6DGUs

Abstract: In this paper, a real-time, hybrid detection and mitigation framework for false data injection attacks in DC microgrids is presented. It is then evaluated on six distributed generation units ...
IEEE

Device-Free Occupancy Detection via Wi-Fi CSI and Deep Residual CNN

Abstract: This paper explores a device-free indoor occupancy detection approach using raw Wi-Fi Channel State Information (CSI). CSI data, including both real and imaginary components per subcarrier, ...
IEEE

Faster R-CNN With Variable-Sensitive Map for UAVs Fault Detection: Addressing Simultaneous Sensor Faults in Autonomous Flights

Abstract: Unmanned aerial vehicles (UAVs) have advanced significantly and are increasingly used in civil and military field. Ensuring their safety and reliability is crucial, and fault detection is ...
IEEE

Weakly Supervised Object Detection for Aerial Images with Instance-aware Label Assignment

Abstract: Weakly supervised object detection has emerged as a cost-effective and promising solution in remote sensing, as it requires only image-level labels and alleviates the burden of ...