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This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ensemble ...
The anti-spam and anti-scam solution is one such application, that is deployed on Wisley.ai in a telco ecosystem, enabling real-time threat detection across SMS, Voice, and VoIP channels, for both ...
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns ...
Although deep learning shows potential for early detection of STIs, there are challenges to ensuring the generalisability of such algorithms due to limited heterogeneous data. Standardised, diverse ...
This practice is known as review spamming. In recent years, the spam review detection problem has gained much attention from communities and researchers, but still there is a need to perform ...
I'm excited to share a recent project where I developed a "Spam Mail Prediction System" using Machine Learning, implementing a complete pipeline from data preparation to model deployment. This ...
– Provide specific code examples for suggested changes where applicable Please be specific, constructive, and actionable in your feedback. Output the review in markdown format.
The VP of engineering at a leading technology company stared at the quarterly adoption metrics with growing frustration. Twelve months after rolling out a state-of-the-art AI coding assistant—a ...