A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...
Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.
A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...
The protection dog specialists at DARKDYNASTYK9S document a trained dog demonstrating underwater object detection and retrieval abilities. American pilot shot dead and his plane set on fire by Papua ...
Abstract: The explosive growth of the Internet of Things (IoT) has introduced vast amounts of data and unprecedented security challenges, making effective anomaly detection in IoT environments a ...
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...
Abstract: Existing SOTA methods in active learning object detection(ALOD) achieve impressive results, but they overlook two problems: (1) the requirement for instance ...
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 ...
In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...