A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

[2025-06-01] Many thanks to @aherzinger for implementing and refactoring the Generator and RAG models. [2025-05-30] Huge thanks to @baraayusry for implementing the Online Retriever using CrawAI and ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Learn how to predict the maximum distance of a projectile in Python while accounting for air resistance! 🐍⚡ This step-by-step tutorial teaches you how to model real-world projectile motion using ...

Abstract: In this paper, we propose a circuit yield prediction method to improve the efficiency of circuit yield prediction. Both traditional Monte Carlo simulation and the current popular machine ...

Department of Plant Protection, Agriculture Faculty, Malatya Turgut Ozal University, Malatya, Türkiye Weed infestation remains a major constraint limiting the yield potential of sugar beet (Beta ...

Demand forecasting is a critical component of supply chain management and business operations. While traditional demand forecasting methods are geared towards continuous and stable demand patterns, ...

Soil chemical analysis is very ancient and even predates the publication of Liebig’s historical book in 1840 (Boulaine, 1997). In southern Brazil, Mohr (1950) was a pioneer in proposing and conducting ...

Abstract: Wafer yield prediction plays a significant role in detecting early defects and optimizing manufacturing efficiency. For this reason, methods for forecasting the yield have been actively ...

Bear markets today can make earning extra income feel like a slow grind. During this phase, paychecks stay the same, while many investments slow down. That is where confidence drops for many people, ...