In this paper we explored different machine learning techniques relevant to the spam detection and discussed the contributions provided by researchers for controlling the spamming problem using ...

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 ...

A trained machine learning algorithm can decide whether emails are spam based on rules it learns from pre-classified samples. To quickly and accurately identify spam, Bitdefender uses local and ...

This project is a robust SMS spam classifier leveraging machine learning techniques to distinguish between spam and non-spam messages. It's designed to provide a reliable solution for identifying ...

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed ...

Image forgery detection techniques have evolved into a sophisticated field that spans traditional methods and state‐of‐the‐art deep learning approaches. Researchers focus on identifying ...

So I would expect, especially in a RankBrain world, Google will be making spam detection and search quality more machine learning based in the near future.

With the number of credit card transactions rapidly increasingly by the day, one University of Ottawa student is doing what she can to tackle credit card fraud with advanced machine learning ...

Google has been using AI to train spam filters in Gmail for years, but the company is now also using its in-house machine learning framework called TensorFlow to help. As a result, Google claims ...

A Review on Machine Learning Techniques for Image Based Spam Emails Detection Abstract: Sending and receiving e-mails have continued to take the lead being the easiest and fastest way of ...