evenshow's Stars
ThomasBles/ra2ce
RA2CE helps to quantify resilience of critical infrastructure networks, prioritize interventions and adaptation measures and select the most appropriate action perspective to increase resilience considering future conditions.
Deltares/ra2ce
RA2CE helps to quantify resilience of critical infrastructure networks, prioritize interventions and adaptation measures and select the most appropriate action perspective to increase resilience considering future conditions.
jinzhuyu/ICOSSAR2021-NetworkResilienceAssessment
Code for the ICOSSAR 2021 paper titled Comparing Topology-based and Flow-based Resilience Assessment of Interdependent Infrastructure Networks
openego/eTraGo
Optimization of flexibility options for transmission grids based on PyPSA
none1113350/CMMTR_resilience-assessment-for-BRTN
a project of resilience assessment for a bus-rail transit network
Hughie-HaoWu/Outage-recovery
mmdanziger/recovery-coupling
Code and data for "Recovery Coupling in Multilayer Networks" ( https://doi.org/10.1038/s41467-022-28379-5)
safreita1/TIGER
Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
dange-academic/Modeling_complex_networks
Modeling complex networks: An implementation based on Python+NetworkX
mitre-rise/coupled-networks
Resilient Infrastructure Simulation Environment
priyada7/EDGIE
This repository contains code which simulates the impacts of electric vehicles, heat pumps and heat-pump water heaters on the grid.
yuwvandy/Infrastructure-network-simulation
siavash91/Td-INDP-NN
tsinghua-fib-lab/KDD2023-ID546-UrbanInfra
Jean-BaptisteBouvier/Network-Resilience
Repository for the paper "Resilient Stabilizability of Linear Networks"
Total-RD/pymgrid
pymgrid is a python library to generate and simulate a large number of microgrids.
tangyudi/Ai-Learn
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
VaishakVellore/Binexploits-Software-Security-
All challenges are under /var/challenge/levelN, where N is the number of level that starts from 1. All challenge binaries are SUID programs. Your goal is to run each challenge binary, exploit it, get a shell, and then execute l33t to elevate you onto the next level. You must start from level 1.
JingweiToo/Filter-Feature-Selection-Toolbox
Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.
JingweiToo/Particle-Swarm-Optimization-for-Feature-Selection
Application of Particle Swarm Optimization (PSO) in the feature selection tasks.
JingweiToo/Wrapper-Feature-Selection-Toolbox
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.
a-moin/flexemg
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier
sam-coleman/EMG_Classification
EMG feature analysis and extraction of rock paper scissors game
ali-sut-bme/EMG_Signal_Processing_Final_Version_2020
EMG signal Preprocessing & Feature Extraction & Classification.
sam-coleman/EMG_Live_Detection
Live Machine Learning Classification of Rock, Paper, Scissors
nagaswathi-a/DB1-Ninapro-sEMG-Classification-
arnab-007/Classification-of-surface-EMG-signals-for-improved-control-of-prosthetic-fingers
This repository contains codes for feature extraction and subsequent classification of surface electromyogram (EMG) signals.
mohsenbme/EMG-Feature-extraction-and-evaluation
SushmaSuresh95/Feature-Extraction-of-EMG-signals
JingweiToo/EMG-Feature-Extraction-Toolbox
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.