Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...

Debugging can truly get on your nerves at times. But that’s part of our job—sometimes more than actual coding itself. Imagine writing a prime number checker, only to find out it’s identifying ...

Abstract: This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity for ...

Forward-looking sonar object detection plays a vital role in marine applications such as underwater navigation, surveillance, and exploration, serving as an essential underwater acoustic detection ...

In recent years, developing realistic and robust simulations of human-like agents has been a complex and recurring problem in the field of artificial intelligence (AI) and computer science. A ...

Abstract: In the present research work, a system is developed that can detect objects in real-time using a combination of the ESP32 CAM module and Python programming. The goal was to show how ...

This project implements object detection using the SSD MobileNet V3 model, trained on the COCO dataset, capable of detecting objects in both static images and real-time video streams from a webcam.

[ICIP'24 Oral Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".

Time series data, representing observations recorded sequentially over time, permeate various aspects of nature and business, from weather patterns and heartbeats to stock prices and production ...