The integration of ML-driven cybersecurity frameworks into financial institutions is an ongoing process, requiring continuous ...

Minister of State for Steel & Heavy Industries, Bhupathiraju Srinivasa Varma, officially launched the R&D schemes and the ...

One of the biggest hurdles in Medicare fraud detection is the extreme class imbalance, where fraudulent claims represent less ...

An artificial intelligence-driven model developed by Halima Haque, graduate student at Independent University, Bangladesh, ...

https://colab.research.google.com/github/Sailajayadav/Salary-Estimation-Using-K-Nearest-Neighbors-KNN-/blob/main/salaryestimation_using_knn.ipynb ...

Analyzing a comprehensive dataset of occupational injury records from Occupational Safety and Health Administration (OSHA), this research explores the efficacy of seven distinct ML algorithms ...

K-nearest neighbors (KNN): KNN is a classification algorithm (Liu et al ... Conceptualization and design of study, ML, YZ, and MC; Data Collection, ML and JZ; Data analysis and interpretation, ML, YZ, ...

This project applies K-Nearest Neighbors (KNN) on medical data (cancer dataset) to classify and predict cancerous cases based on patient attributes.

Researchers from Tsinghua University, the Beijing Institute of Technology, the University of Wollongong (Australia), and the ...