Betting companies train machine learning programs to monitor players’ behaviour. AI technologies seem to have been integrated into every corner of our lives. Most businesses have jumped on the ...

The following is a summary of “Deep learning-based system for automatic identification of benign and malignant eyelid tumours,” published in the May 2025 issue of British Journal of Ophthalmology by ...

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 ...

Objective: This study aims to develop a multimodal deep learning-based stress detection method (MMFD-SD) using intermittently collected physiological signals from wearable devices, including ...

This review discusses the current state of multicancer early detection tests, the role of machine learning in their development, and their implications for oncology practice and patient care. THE ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this article, we introduce a diagnostic platform comprising an optical microscopy ...

Abstract: This machine language project on object detection vulnerability is to have the safety and wellbeing of toddlers by using the advantages of machine learning techniques for identifying and ...

This project focuses on developing a predictive model for electricity usage to optimize energy consumption and reduce costs. By analyzing weather, occupancy, and seasonal patterns, the XGBoost model ...

A detailed guide on the Object Detection design pattern, commonly used to detect and locate objects within images in the field of computer vision. Object Detection is a critical task in computer ...