IEEE

PF-DTN: Predictive Routing for Intelligent Delay Tolerant Networks Using RNN-LSTM Deep Learning With Monte Carlo Dropout Uncertainty Estimation and Hybrid Deterministic ...

Abstract: Delay tolerant networks (DTN/s) represent an evolution of traditional ad hoc networks, specifically designed for extreme environments characterized by intermittent connectivity, ...
IEEE

Heart Disease Prediction with Severity Using Machine Learning and Flask

Abstract: Heart disease remains one of the foremost causes of mortality worldwide, highlighting the need for timely diagnosis and tailored treatment strategies. Although conventional diagnostic ...
8newsnow

Having a conversation and creating best practices for your child’s social media use

BATON ROUGE, La. (AP) — In a pivotal moment that underscored how powerful and immersive social platforms can be for children and teens, a jury in California this week found both Meta and YouTube ...
The Conversation

Almost 80% of Australian uni students now use AI. This is creating an ‘illusion of competence’

In Australia, artificial intelligence is becoming a near-universal feature of education. As of 2025, nearly 80% of university students reported using AI in their studies. Overseas, reports are even ...
GitHub

Machine learning based fraud detection system using Flask, Python, and Scikit-learn with OTP verification and case management.

FraudGuard AI is a machine learning-based web application developed to detect suspicious and fraudulent transactions. The system uses a trained ML model along with rule-based checks to classify ...
GitHub

Capacitated Vehicle Routing Problem with Time Windows (CVRPTW)

This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...