1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Email spam emails frequently contain dangerous material like viruses, phishing attempts, and fraudulent schemes. Email spam detection is an essential component of cybersecurity. Machine learning ...

New AI model detects email spam with zero training using BERT and FLAN-T5 The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine ...

The fundamental techniques to identify phishing attacks are data pre-processing for cleaning attribute selection and attack detection using a heuristic-based machine learning technique.

Email spam detection system is used to detect email spam using Machine Learning technique called Natural Language Processing and Python, where we have a dataset contain a lot of emails by extract ...

Detecting and filtering spam has been a long-standing issue in machine learning. Conventional rule-based techniques and manually coded solutions have proved ineffective and short-lived in identifying ...