IEEE

Efficient Detection of Objects Near a Robot Manipulator via Miniature Time-of-Flight Sensors

Abstract: We provide a method for detecting and localizing objects near a robot arm using arm-mounted miniature time-of-flight sensors. A key challenge when using arm-mounted sensors is ...
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

Comparative Study of CNN Models for Human Action Recognition in Detection Tasks

Abstract: Aiming at the performance optimization of convolutional neural networks in human action recognition tasks, this study constructs a system evaluation framework containing eight typical ...
IEEE

High-Speed Detection of Moving Objects Using FMCW Radar Sensor

Abstract: Today, high-speed navigation has become crucial in air traffic and self-driving cars, where frequency-modulated continuous wave radars are widely used as low-cost range sensors. Such sensors ...
IEEE

Quantum CNN for Detection and Identification of UAV-Enabled Non-Terrestrial Networks

Abstract: Unmanned aerial vehicles (UAVs) have become essential elements of non-terrestrial networks (NTNs) utilized in various sectors, including agriculture, public safety, surveillance, and ...
IEEE

Deepfake Face Image Detection: Benchmarking CNN Models' Performance

Abstract: The Deepfake Face Image Detection System uses Convolutional Neural Networks (CNNs) to address the growing threat of deepfakes, which manipulate images to falsely depict events or actions, ...
IEEE

CNN based Error Level Analysis (ELA) With Scores to Detect Digital Image Manipulation

Abstract: As powerful image editing software are more readily available, authentication of digital images poses a great problem. Most older forgery detection techniques relying on metadata inspection ...
IEEE

Deep Learning for Multi-Class DDoS Detection in SDNs: A CNN-LSTM Based Approach

Abstract: Recently Distributed Denial of Service (DDoS) attacks have increased extensively, taking about 35% of all cyber threats among which the attack characteristic rises around 300% within the ...
IEEE

Ensemble of Fast R-CNN with Bi-LSTM for Object Detection

Abstract: Object detection is a critical task in computer vision, with applications ranging from autonomous driving to medical imaging. Traditional object detection models, such as Fast R-CNN, have ...
IEEE

Research on Bearing Fault Detection Based on CNN-transformer

Abstract: In rotating machinery systems, the bearing is the key component, and its fault detection is very important to ensure the system safety. However, the complexity of bearing faults brings ...
IEEE

Learning-based Keypoints Detection with Topological Order on Deformable Linear Objects from Incomplete Point Clouds

Abstract: Detection of deformable linear objects (DLOs) in three-dimensional space is essential for robotic manipulation of DLOs. However, their complex deformations and high degrees of freedom make ...