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

Operator Chain Detection in Image Forensics Using a Two-Stream CNN

Abstract: The advent of image-manipulation techniques and manipulation operator chains has raised the problem of identifying edited photos to prominence in information forensics. Existing forensic ...
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

Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection

Abstract: This research presents a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model developed for malware classification from IoT devices in the SCADA system and for ...
IEEE

Automatic Brain Tumor Classification and Detection from MRI Images Using CNN

Abstract: Brain tumor detection is a very important area of research as we know that brain tumors are a critical element related to the life of a person. Brain tumors needs to be identified timely and ...
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

UniROD: Unified Radar Object Detection with MAE-pretrained CNN-Transformer Fusion

Millimeter-wave radar object detection has become pivotal for autonomous driving systems requiring all-weather reliability. While conventional CFAR methods face limitations in classification ...
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

Fire Detection and Extinguishing System Using CNN

Abstract: Fire events threaten life and property safety and require fire prevention and firefighting. Traditional methods such as smoke detectors and thermometers often suffer from low accuracy and ...