Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

The Human–Machine Collaboration (HMC) classification system, developed by the Dubai Future Foundation, is designed to enhance transparency in research and content production.

Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why.

This project aims to build a multi-class text classification model for consumer complaint narratives.It categorizes complaints into four classes: Credit Reporting, Debt Collection, Consumer Loan, and ...

Then, the initial regions of the human target foreground and noise background on the maps are determined using corner detection method, and the micro-Doppler signature is segmented using the ...

A machine learning-based detection, classification, and quantification of marine litter along the central east coast of India ...

In this study, unlike previous studies, a new data set was originally created for the purpose of T. absoluta damage detection, deep features were extracted from these images using three different ...

In the study, feature extraction was performed with DenseNet121, MobileNetV2 and EfficientNetB0, and classification was performed with different machine learning algorithms. The method showed high ...

In computer vision, human activity detection is a challenging task with applications spanning from man-machine interaction to intelligence and security. Human action detection is the field of ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...