Nature

Leader of the pack: gene mapping in dogs and other model organisms

The domestic dog offers a unique opportunity to explore the genetic basis of disease, morphology and behaviour by using over 400 distinct dog breeds created by artificial selection. Dogs and humans ...
IEEE

ANN-Assisted Model Predictive Control Method for IPMSM Drive Using Torque-Deviations Mapping

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
IEEE

A Novel Approach to Automated Mapping Subweekly Calving Front of Petermann Glacier (2016–2023)—Using Sentinel-2 Satellite Data and Segment Anything Model (SAM)

Abstract: Monitoring glacier calving fronts is critical for understanding ice dynamics and their response to climate change. However, existing methods of mapping ice calving front face limitations in ...
GitHub

This repo is for my final project about Physics-Informed Neural Networks for Deep Generative Modeling course.

Project Title: Physics-Informed Neural Networks for Predicting River Water Depth and Velocities Using the Saint-Venant Equations This project employs a machine learning framework using a ...
GitHub

AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Crop Mapping

This repository is the code implementation of the paper AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Crop Mapping. AgriFM is a multi-source temporal remote sensing foundation ...