🌟 replication package for 📜 From Commit Message Generation to History-Aware Commit Message Completion, ASE 2023

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

QuantumSolver: A little quantum toolset developed using Qiskit

Automated Schedule Generation for Time-Sensitive Networks (TSN).

Test Case - Advanced Modeling and Analysis of Individual and Combined TSN Shapers in OMNeT++

5G Network Slicing for Wi-Fi Networks

Optimal Oblivious Routing with Concave Objective for Structured Networks (TON 2023)

Designing Optimal Compact Oblivious Routing for Datacenter Networks in Polynomial Time (INFOCOM 2023)

Codes for paper "Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation"

Simulator for shape changeable reconfiguration

A heuristic approach on how to optimally schedule jobs using D-Wave's quantum computer

This project implement the Serpent algorithm and also use the Serpent algorithm with CTR mode.

Determine a schedule for running a set of jobs on a certain number of machines using the LeapHybridCQMSampler.

A Python package for job-shop modeling

Implementation of BA-CNN paper

We present PSML, a first-of-its-kind open-access multi-scale time-series dataset, to aid in the development of data-driven machine learning (ML) based approaches towards reliable operation of futur…

Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)

Library for training machine learning models with privacy for training data

Benchmark for Edge Computing Platforms