Abstract: Phishing attacks remain a critical threat in the digital era, exploiting social engineering tactics to compromise user trust and sensitive information, often resulting in financial loss and ...

Satellite Synthetic Aperture Radar (SAR) has long been a key technology for ocean observation, due to its all-weather, day-and-night imaging capability. It ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Security agencies have been using facial and object recognition tools to enhance safety monitoring, particularly in metros.

Advancements in Artificial Intelligence forms such as computer vision, machine learning, and deep learning assist with ...

Abstract: Multispectral object detection, which combines RGB visible light and thermal infrared spectral information, has broad applications in complex environments and varying illumination conditions ...

This project trains machine learning models to predict cancer malignancy and, if malignant, classify the subtype. It provides a Streamlit app with three modes: manual input, CSV upload, and accuracy ...

This repository contains a comprehensive, end-to-end tutorial with Python notebooks demonstrating object detection using Azure AutoML for Images. The notebooks guide you through the complete workflow ...

Betting companies train machine learning programs to monitor players’ behaviour. AI technologies seem to have been integrated into every corner of our lives. Most businesses have jumped on the ...