MediaNama

TRAI Moves To Use AI Spam Alerts Into Enforcement Action For The First Time

TRAI’s 2026 draft allows AI spam flags to trigger action with fewer complaints. Here’s what changes for users and businesses.
IEEE

Advance Spam Detection Using Machine Learning

Abstract: The rapid expansion of digital communication has resulted in a significant rise in unsolicited messages, commonly known as spam. This influx disrupts communication systems and consumes ...
Newspoint on MSN

Stop spam calls on WhatsApp: How to silence unknown callers on Android and iPhone

A Simple Guide to Mute Calls From Unknown Numbers on WhatsApp Spam calls on messaging platforms have become increasingly ...
IEEE

Analysis of spam detection techniques using machine learning

Abstract: In recent years, the receipt of spam by billions of users around the world has increased. In general, for spam emails are admitted all emails that is sent without the express consent of the ...
GitHub

Machine Learning spam classifier achieving 98% accuracy using SVM, NLP, and TF-IDF vectorization

An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...
GitHub

MusXIII/SMS_SPAM_DETECTION

This project implements a machine learning model to classify SMS messages as "spam" or "ham" (not spam) using Decision Trees and TF-IDF vectorization. CS_Project_II/ ├── dataset/ │ └── spam.csv # SMS ...
PNAS

In silico machine learning–enabled detection of polycyclic aromatic hydrocarbons from contaminated soil

Soil contamination by environmental pollutants, particularly polycyclic aromatic hydrocarbons (PAHs), can significantly affect human health due to their carcinogenic and mutagenic properties. In this ...