Nature

A comparative machine and deep learning approach for predicting ultimate bearing capacity of shallow foundations in cohesionless soil

It evaluates a single, fixed set of hyperparameters for an LSTM model using k-fold cross-validation. While it saves the best-performing model from those cross-validation runs, it does not ...
GitHub

Ames Housing Regression Benchmark

This is a machine learning project built on the Ames Housing dataset, designed to show end-to-end regression workflow, model engineering, evaluation, reporting, and comparison. This project studies ...
SciELO

Supervised machine learning driven analysis of compressive strength in concrete incorporating sustainable sludge with SHAP and PDP analyses

Due to the increasing demand for ready-made clothing, wastewater treatment facilities are producing large amounts of textile effluent sludge (TES), which is often dumped as backfill and contributes to ...
The Lancet

AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study

aDepartment of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany bUniversity Department of Anesthesiology and Intensive Care Medicine, ...
GitHub

tanutmna/Stock_prediction_analysis

Stock-Prediction-Models, Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations.
Frontiers

Leveraging artificial intelligence for analysis of the gut microbiome for dementia diagnosis: a scoping review and discussion

Study designs (cross-sectional vs. longitudinal, observational study vs. experimental vs. mixed methods), country of participants, types of dementia studied (people with Alzheimer’s disease, mild ...