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Scientists use machine learning to control specific brain circuits

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
Frontiers

Deep learning–based approaches for weed detection in crops

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.
IEEE

Deep Learning-based Object Localization using Delay-and-Sum Beamformed Ultrasound for Autonomous Driving

Abstract: Object detection is essential for safe autonomous driving systems. While cameras are the most commonly used modality, their performance degrades significantly under low-light or scattering ...
Scientific Research Publishing

Shao, F., Chen, L., Shao, J., Ji, W., Xiao, S., Ye, L., et al. (2022) Deep Learning for Weakly-Supervised Object Detection and Localization: A Survey. Neurocomputing, 496, 192-207.

ABSTRACT: Marine plastic pollution is a pressing environmental threat, making reliable automation for underwater debris detection essential. However, vision systems trained on one dataset often ...
IEEE

Underwater Object Detection Using Transfer Learning and Deep Neural Network

Abstract: Object detection underwater is one of the most important tasks in various applications: marine biology, environ- mental monitoring, and underwater exploration. In this paper, we discuss a ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...