Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Introduction Recent advancements in diagnosing tropical fevers increasingly use artificial intelligence (AI). These innovations focus on diagnosing single or multiple diseases, significantly reducing ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

While artificial intelligence (AI)-powered screening has been validated for diabetic retinopathy, applying the technology to glaucoma has proved more challenging because glaucoma is not one disease. A ...

Objective: This study applied the Society Ecosystems Theory to investigate Fear of Progression (FoP) prevalence and predictors in gynecological malignancy patients. By constructing and comparing three ...

Abstract: The prevalence of low birth weight has increased, from 5.4% in 2007 to 6.2% in 2017. The purpose of this study is to examine the classification of infants' birth weight Indonesia, relies on ...

Abstract: The Internet of Things is gaining significant relevance, driving increasing interest in location-based services using wireless signals, particularly Low Power Wide Area Network (LPWAN) ...