The paper has covered topics ranging from how artificial intelligence and machine learning algorithms help in object detection to how OpenCV is such a useful tool for beginners who wish to learn how ...

This work focuses on outliers detection in long-term climate data by using machine learning models. The study uses meteorological data collected over 40 years (1981-2021) from ten synoptic stations ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Early detection is crucial for effective management. Machine learning aids in more precise disease identification, potentially transforming healthcare. This comprehensive systematic review discusses ...

In response, machine learning offers a transformative approach to enhancing doping screening and detection. With its powerful data analysis capabilities, machine learning enables the rapid ...

• To ensure high phishing detection accuracy, this study utilizes a large dataset (N = 2,74,446) and 15 supervised machine learning (SML) algorithms derived from various machine learning types. • ...

A JPG image for experimenting the haar cascade classifier algorithm. Face Mask Detection using Python OPenCv Machine Learning and Python Sklearn. This project aims to detect whether individuals are ...

In this assignment, the objective is to implement object tracking using OpenCV and machine learning techniques. The tracking algorithm detects an object in the first frame of the video and continues ...