Name: Kalana Abeywardena
Type: User
Company: University of Toronto
Bio: Graduate Student at the Department of Electrical and Computer Engineering of the University of Toronto.
Twitter: KalanaAbeyward3
Location: Toronto, Canada
Kalana Abeywardena's Projects
This project was done in partial fulfillment of the requirements for the module BME 1473: Acquisition and Processing of Bioelectrical Signals in Fall 2022. In this project, the broad objective is oriented toward detecting epileptic seizures by analyzing EEG signals recorded in-vivo from the patients diagnosed with the disease.
Design files for the Propagator Sensor Unit
Code Repo for Datastorm 2.0
Data Storm models of Team KOS
Verilog HDL of a downsampling processor
Main repository for our final year project - Maritime Object Detection, Tracking and Suspicious Activity Recognition using Thermal Vision
Config files for my GitHub profile.
This is the official implementation of KORSAL: Key-Point Detection based Online Real-Time Spatio-Temporal Action Detection. We use CenterNet to locate actions spatially - the first use of key-points in action detection.
This repository contains the codes and results obtained in the design and implementation of the M-Fold Interpolator.
This project was done in partial fulfillment of the requirements for the module JEB 1444: Neural Engineering in Winter 2023. First, the FitzHugh-Nagumo model is used to explore the dynamics of a coupled system and generate input-output relationships. Secondly, Wiener Bose Model is used to learn a non-parametric model on input-output signals.
Code associated with the publication, "Lost neural heterogeneity in human epilepsy is a fundamental principle unifying disease etiologies", currently in revision at PNAS.
This aims at finding promoters within a given set of genomes of Escherichia coli bacteria using statistical gene prediction methods. This is performed as a partial requirement for the BM4321 - Genomic Signal Processing during the senior year at University of Moratuwa.
This repository host the code for real-time action detection paper
This is a project done as a partial requirement of EN 3110 Electronic Devices to provide Numerical Solution for 1-D Schrodinger's Wave Equation using python language. Further it has been extended to 2-D scenarios as well.
This repo consists some simple GUI developments done for three projects using Tkinter package of python. Tkinter is the standard Python interface to the Tk GUI toolkit. It is ideal as a front-end frame work if you need to create a simple GUI easily to show case the work done in the background. Since it is python-based, there is no need to learn specific programming languages that are capable of desiging better front-ends.
Integration between TVB and NEST, for multiscale (co)simulations .