Customer reviews are the most influential form of local business content. Surveys routinely reveal that upwards of 90% of consumers read reviews as they search for nearby goods and services. In this ...

The rapid advancement of artificial intelligence (AI) in medical image analysis, particularly deep learning (DL) algorithms, has provided novel solutions for automated TN detection. However, existing ...

Introduction: The rise in cases of Gastric Cancer has increased in recent times and demands accurate and timely detection to improve patients' well-being. The traditional cancer detection techniques ...

A breakthrough ensemble learning model combining multiple advanced deep learning architectures has achieved state-of-the-art accuracy in identifying plant diseases across diverse agricultural ...

🔥 Classify your email SPAM or HAM easily with the Machine Learning Algorithm, FAST API and User-Friendly UI.

This project is a simple spam message classifier built using Python's Scikit-learn library. It uses a Multinomial Naive Bayes model combined with a Count Vectorizer to classify text messages as either ...

The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...

Abstract: Online fake reviews and ratings is making a big impact In order to purchase or subscribe to the online services. So it is important to detect fake review from e-commerce sites. So review ...