PiCN: Python ICN and NFN by University of Basel
A Julia package for working differential mobility analyzers.
A virtual computer network design for an organization having 6 departments.
Contains all the experiments conducted in St. Francis Institute of Technology for Sem - VI of EXTC branch
TESS speech emotion recognition with log-mel CNNs, speaker-independent train (OAF) / test (YAF), SpecAugment-style augmentation, Grad-CAM explainability, and a small Whisper+TF‑IDF text baseline showing emotion isn’t in transcripts alone.
MATLAB/GNU Octave code to predict the hygroscopicity parameter kappa for organic compounds from functional group composition.
Code in various languages to relate the hygroscopicity parameter kappa with hygroscopic growth factor or critical supersaturation.
A machine learning model to recognize emotion in speech.
An extension for Visual Studio Code to run Lizard complexiy analysis.
CCN compliance service — conformance, policy enforcement, and audit
Shared interface and template for building CCN edge coordinators
🔬 This project aims to detect whether malaria cells are parasitized or uninfected using Convolutional Neural Networks (CNN). The project provides a Jupyter Notebook file and a pre-trained model file for the malaria cell detection task.
A custom simulator for CCN networks (https://en.wikipedia.org/wiki/Content_centric_networking)
Care Coordination Network — umbrella docs, architecture, ADRs, and project board
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