They help determine if a model is truly learning or just memorizing Mathematics In AI: Mathematical concepts such as statistics and probability form the foundation of Artificial Intelligence (AI) and ...

Joshi, R.D. and Dhakal, C.K. (2021) Predicting Type 2 Diabetes Using Logistic Regression and Machine Learning Approaches. International Journal of Environmental Research and Public Health, 18, Article ...

This research aims to develop a model that utilizes technology to assess the level of financial hardship in companies in Indonesia. Over the period 2013 to 2023, 324 companies from various sectors ...

Meanwhile, force field limitations, timescale discrepancy, and validation difficulties exist in the prediction of Tg for PIs using molecular dynamic simulation. In this study, we introduce a ...

This research presents a hybrid framework combining machine learning and cryptographic techniques for privacy-preserving spam email classification. Logistic Regression (LR) and Support Vector Machines ...

Adsorbent injection is the most promising technology for solving anthropogenic mercury (mainly Hg0) emission from stationary sources. Carbon-based adsorbents have strong potential for Hg0 removal due ...