Publications

Polycystic Ovary Syndrome (PCOS) is a common hormonal disorder that affects individuals with ovaries, particularly those of reproductive age. Applying machine learning (ML) to detect PCOS can offer several advantages, including early diagnosis, personalized treatment, and improved patient outcomes. Learn More.

Cardiovascular disease stands as a prominent global health concern, claiming a significant number of lives. The accurate prediction of such diseases poses a substantial challenge in the realm of data analysis.The main aims of this research paper strike on using two different approaches of ensemble algorithms the stacking and voting approaches with different unique datasets. The testing phase demonstrates an impressive accuracy rate of approximately 80.4% in the stacking approach and 82.6% for the voting ensemble learning. Learn more.

Effective fault detection in rotating machinery is essential for ensuring industrial systems’ reliability and operational efficiency. In this work, we proposed a method for fault detection using image matching technique. The proposed technique exhibits the advantage of improving the reliability and efficiency of industrial systems by enabling timely intervention and preventive maintenance. Coming soon.

Finding and deciphering the underlying emotions conveyed through facial expressions is the technique of emotion analysis. Compared to sentiment analysis, which classifies information as beneficial, negative, or neutral, this method is more complex. Here, the model interprets the camera frames, identifies faces, forecasts feelings, and overlays the generated emotion over the live video stream. Coming Soon.