Abstract: Accurately detecting maize leaf diseases from field images is challenging. This is because of the shortcomings of field data such as complex and non-uniform backgrounds and varying ...

Abstract: Student dropout in universities brings significant challenges that impacts both individual futures and institutional effectiveness. Early prediction of potential dropouts is crucial for ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...