QingliZeng's Stars
RayeRen/acad-homepage.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
robu3/flockingbehavior
An implementation of flocking behavior in Unity (new and improved!)
naiksrinu/UAV_DataSet_NetworkCommunication
UAV Network Communication Experimental dataset is a collection of network traffic captured from a wireless network used by unmanned aerial vehicles (UAVs) during a simulated search and rescue mission. The dataset includes both legitimate network traffic and traffic generated by WiFi and GPS attacks.
uamughal/UAVs-Dataset-Under-Normal-and-Cyberattacks
This repository contains the dataset developed in paper, "Cyber-Physical Intrusion Detection System for Unmanned Aerial Vehicles."
saburhb/FlyNetSim
FlyNetSim: An Intergrated UAV-Network Simulator
AlexJinlei/Autonomous_UAVs_Swarm_Mission
zkashner/learning-boid-flocking
Emily, Jon and Zane's 221 final project
adswarm/src
SwarmFlawFinder Project Website
siddhantjain/PointCloudAnnotationTool
A tool written in C++ to help annotate point clouds
katbailey/few-shot-text-classification
Code for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop
lis-epfl/swarmlab
SmarmLab: a versatile Matlab package for drone swarm simulation.
blacksite/blacksite
Blacksite: Distributed Deep Neural Network Artificial Immune System
ZJU-FAST-Lab/Swarm-Formation
Formation Flight in Dense Environments
ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
ML-Aksh/Trajectory-Opt-Wireless
alelab-upenn/ros-net-sim
a framework for the integration of robotic and network simulators
scopus777/RiftDrone
munhouiani/LuNet
Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection
etas/SynCAN
pfmarteau/HIF
Hybrid Isolation Forest
AFAgarap/gru-svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
ymirsky/KitNET-py
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
xuxiaoli-seu/SNARM-UAV-Learning
The Python code for simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning
htn274/CanBus-IDS
Code for the paper "Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders"
rahulvigneswaran/Intrusion-Detection-Systems
This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".
nobodymx/Resilient-swarm-communications-with-meta-graph-convolutional-networks
Meta graph convolutional neural network-assisted resilient swarm communications