Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Abstract: Intrusion detection is one of the important security problems in todays cyber world. A significant number of techniques have been developed which are based on machine learning approaches.

Abstract: Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques have been widely used for botnet detection with flow-based features. The prime challenges ...

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This project predicts gender (male/female) from voice features using a machine learning model and provides a Streamlit web app for prediction. There was an error ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines that are difficult to find with standard equipment. The technique focuses ...

AI model suggests deep vein thrombosis may be identified more accurately using gut microbiome profiles. Read more.

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

In our previous work, we demonstrated the efficacy of machine learning classifiers to accelerate the process by collecting home videos of US-based children, identifying a reduced subset of behavioral ...