C&EN

Solvent Screening for Separation Processes Using Machine Learning and High-Throughput Technologies

Advanced Biofuels and Bioproducts Process Development Unit, Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Emeryville, California 94608, United States ...
GitHub

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections

This Git repository contains the code that accompanies the research paper "t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections". The details of the experiments and the research ...
The Lancet

Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches

eDepartment of Paediatrics, Yong Loo Lin School of Medicine, NUS, Singapore fDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore ...
Frontiers

Artificial neural network model to predict student performance using nonpersonal information

In recent years, artificial intelligence has played an important role in education, wherein one of the most commonly used applications is forecasting students’ academic performance based on personal ...
Europe PMC

Quantum K-means clustering method for detecting heart disease using quantum circuit approach.

The development of noisy intermediate- scale quantum computers is expected to signify the potential advantages of quantum computing over classical computing. This paper focuses on quantum paradigm ...
Scientific Research Publishing

Design and Implementation of Fingerprint Identification System Based on KNN Neural Network ()

1 College of Information and Communication Engineering, Al-Nahrain University, Baghdad, Iraq. 2 Al-Nahrain University, Baghdad, Iraq. Fingerprint identification and recognition are considered popular ...