zelenkastiot/RiemannGarbageBin

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License
MIT License
Created almost 4 years ago
Updated over 1 year ago

zelenkastiot/RiemannGarbageBin

zelenkastiot

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Student paper "Riemann Garbage Bin: A Self-sustained Waste Management System" [CIIT, 2018]

PhaseUnwrapping_book

A Jupyter Book (v0.6.4) that contains figures for the Phase-unwrapping research paper (written in Julia). First author Nan-kuei Chen and second author Pei-Hsin Wu, report a new postprocessing procedure that uses Fourier‐domain data analyses to improve the accuracy and reliability of phase unwrapping for MRI data of low SNR.

brownian

Project funded by DFG. A jupyter-book that explores mearly a chunk of the field of nonlinear dynamics, specifically diffusion and random search in heterogeneous media. The book has various simulations for the stochastic process known as Brownian motion. The motion dynamics are simulated by solving the Langevin equation numerically for the different initial parameters. After an ensemble finishes, the trajectories of Brownian particles together with the probability density function and the mean square displacement are plotted. The book has chapters on Brownian search, Backbone problems, and Stochastic resetting.

Jupyter Notebook

s-gene-mutations-SARS-CoV-2

Processing GISAID SARS-CoV-2 emerging variants data and generating a language model using Transformers. The model semantically captures masked glycoprotein amino acid mutations in emerging variants of the SARS-CoV2-virus and gives appropriate scores for each potential aa change.

Jupyter Notebook

julia1.4.1-docker-test

Playground Docker environment for running Script of Scripts Jupyter notebooks (Julia v.1.4.1 + R + Python3+Plotly) + GitHub actions automatic Binder build

Jupyter Notebook

bio_lab

A Jupyter book (v0.10.0) with Python (3.7) notebooks elaborating course exercises, solutions, and research for Bioinformatics course [Faculty of Computer Science and Engineering - Skopje, 2021]

test

Project funded by DFG. A jupyter-book that explores mearly a chunk of the field of nonlinear dynamics, specifically diffusion and random search in heterogeneous media. The book has various simulations for the stochastic process known as Brownian motion. The motion dynamics are simulated by solving the Langevin equation numerically for the different initial parameters. After an ensemble finishes, the trajectories of Brownian particles together with the probability density function and the mean square displacement are plotted. The book has chapters on Brownian search, Backbone problems, and Stochastic resetting.

Jupyter Notebook

Phase_book

A Jupyter Book (v0.10.0) that contains figures for the Phase-unwrapping research paper (written in Julia). First author Nan-kuei Chen and last author Pei-Hsin Wu, report a new postprocessing procedure that uses Fourier‐domain data analyses to improve the accuracy and reliability of phase unwrapping for MRI data of low SNR.

Jupyter Notebook

zelenkastiot

sos-binder-octave-py

Binder environment for running Script of Scripts Jupyter notebooks (Octave+Python3+Plotly)

Covid19-Herd-immunity

A Jupyter book (v0.10.0) with Python (3.7) simulations related to COVID-19 spreading, SIR models, and herd immunity. Project for Modelling and Simulation course [Faculty of Computer Science and Engineering - Skopje, 2020] ~ MKD version

Jupyter Notebook

dash_brownian

A dashboard that simulates the Brownian motion stochastic process. The motion is simulated by solving the Langevin equation numerically for the different initial parameters. After an ensemble finishes, the trajectories of Brownian particles together with the probability density function and the mean square displacement are plotted. There is also an option of comparing the analytical with simulations results.

FCSE-Digital-Signal-Processing

Research for Digital Signal Processing course [UKIM, Faculty of Computer Science and Engineering - Skopje, 2020]