The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Pytorch implementation of the SGU-MLP Architecture from the paper "Spatial Gated Multi-Layer Perceptron for Land Use". The implementation follows the implementation of the original authors. It differs ...

Extract topics and summarise outputs using Large Language Models (LLMs, Gemma 3 4b/GPT-OSS 20b if local (see tools/config.py to modify), Gemini, Azure, or AWS Bedrock models (e.g. Claude, Nova models) ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...

Build your first neural network step by step! Learn how a perceptron works by coding it from the ground up—no libraries, just Python. Bernie Sanders Offers Blunt Breakdown Of Why Kamala Harris Lost ...

Water catchment areas are the key strategic water sources with a variety of ecological benefits. However, the trajectory of Land Cover and Land Use Changes (LULC-C change poses a significant threat to ...

The SAMR framework of technology integration—substitution, augmentation, modification, redefinition—has been around since 2010. Other models have been developed in that time, but I find the SAMR model ...

ABSTRACT: Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...

Cardiac disease refers to diseases that affect the heart such as coronary artery diseases, arrhythmia and heart defects and is amongst the most difficult health conditions known to humanity. According ...