Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

Supporting code for "End-to-end optical backpropagation for training neural networks".

Three-dimensional residual channel attention networks

🚃 Journal Publication Publish 🚒 with Precision researchers 🚁 and professionals 🐝 through the entire 🚠 of journal publication 💺 writing formatting and ✈ submitting journal papers 🫑 IEEE Springer Elsevier ACM 🍋 and other top journals 🍏 resources for reference 🌽 management revision 🦁 tracking and response 🐳 to reviewers 🐲

MWF-based EEG artifact removal in MATLAB

QuantEase, a layer-wise quantization framework, frames the problem as discrete-structured non-convex optimization. Our work leverages Coordinate Descent techniques, offering high-quality solutions without the need for matrix inversion or decomposition.

Publicly available code from my publications 📝

Simulates aperiodic EEG signals and detrends EEG spectra, as well as generates figures used in manuscript.

Testing whether local biodiversity estimates can be robustly predicted among similar studies

The Simulink Model Mutation Testing project provides a framework for generating mutants, and CSV file as an output. It utilizes the MATLAB environment to load the model, apply mutations, and collect outputs.

Suite of Jupyter Notebook-based tools for interpreting and analyzing standard and capillary gel data.

ISMRM MR-Pub: Interactive MRI books for research and education

BASEPROD scripts and configs

This repository contains scripts from published or submitted manuscripts.

Code to accompany Significance article "We're not getting any younger! Or should that be older?".

Code to generate figures/analyses for the Lake Tanganyika project.

This project represents the implementation of the Enhanced Spatio-Temporal Image Encoding used in the paper "Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition" published in the "International Conference on Machine Learning and Applications (ICMLA) 2023".

Data and code for SMJ 2019 paper

Quarto source code for arXiv version of "Analysing and visualising bike sharing demand with outliers".