TRAI has rolled out a new AI-driven spam rule for telecom operators. What changes from March 29 could affect callers across networks?
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Machine learning vs deep learning: Which one is better?
Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.
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 ...
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 ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...
Abstract: Due to the relatively small figure of research conducted on Arabic email spam about the number of Arabic-speaking individuals using the internet, comes challenges related to Natural Language ...
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