A dashboard for the MetOncoFit tumor models.
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Updated
Jan 5, 2023 - Python
A dashboard for the MetOncoFit tumor models.
Code used for processing proteomics data associated with the publication by Yan et al., submitted to Nature Communications in 2024
📝 A Gaussian-process-model-based approach for robust, independent, and implementation-agnostic validation of complex multi-variable measurement systems: application to SAR measurement systems
Windows tools to automate conversion of documents written in markdown to a latex-rendered PDF
Analysis scripts for fabV & triclosan tolerance association paper
This project represents the implementation of the Spatio-Temporal Image Encoding used in the paper "Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action Detection" published in the "International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications(VISAPP) 2022".
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".
Functions to calculate mean curvature energies of oblate spheroids, elliptical hyperboloids, and their various combinations, together with their surface area.
Code for simulation and figure plotting for "Loss or Gain of Function? Effects of Ion Channel Mutations on Neuronal Firing Depend on the Neuron Type" by Koch et al. 2023. Modelling on the effects of ion current property changes on firing behaviour in diverse neuronal models and in with episodic ataxia type 1 associated KCNA1 mutations.
Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".
Publicly available code from my publications
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.
Supporting code for "End-to-end optical backpropagation for training neural networks".
1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
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