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jiweitian's Projects

aerobenchvv

Simulation and analysis tools for autonomous F-16 maneuvers as a V&V benchmark

aerobenchvvpython

Python Version of F-16 Maneuver Verification Benchmark

aes-remote-sensing-images

Soft-threshold Defensive Method for Ad of RSI: Inspired by the Evidences via Throughout Experiments

afdia

The code and datasets will be provided after the review.

ai-based-fdi-countermeasure-for-ioe-smart-grids

The codebase for an AI-Based detection system to detect False Data Injection Attacks (FDIA) – the most sophisticated and damaging attack against smart power grids until date.

aircraft_longi

Simple longitudinal aircraft dynamic analysis with altitude and speed controller

airlearning

Public repository for Air Learning project

airsimneuralnet

Neural network to provide collision avoidance for a drone

amr-benchmark

A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition

andes

Python package for power system symbolic modeling and numerical simulation 🔥

anogan

Tensorflow Implementation of AnoGAN (Anomaly GAN)

anogan-keras

Unsupervised anomaly detection with generative model, keras implementation

anomalydetection

A system which has a real-time & light-weight anomaly detection algorithm based on streaming data from UAV sensors in to order to get the earliest possible detection of GPS spoofing attacks on UAV’s.

ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

asr-corpus

This repository is built to release speech corpus to advance the ASR techinique on ATC related application.

asu_ems-cybersecurity_public

Code and models developed as part of NSF Project 1449080 CPS: TTP Option: Synergy: A Verifiable Framework for Cyber- Physical Attacks and Countermeasures in a Resilient Electric Power Grid

at_sg

Adversarial-Attacks-and-Defense-Methods-in-the-Smart-Grid

atc-reinforcement-learning

Reinforcement learning for an air traffic control task. OpenAI gym based simulation.

atpad

Adverserial Training of Power Systems Against Denial-of-Service Attacks

automatic-generation-control-in-decentralized-electricity-markets-using-anfis

This project deals with the application of Artiﬁcial Neural Network (ANN) based Adaptive Neuro-Fuzzy Inference System (ANFIS) approach to Decentralized Automatic generation Control (DAGC) Scheme for Interconnected multi-area Power System.The performance DAGC based ANFIS controller is compared with DAGC Integral controller. Simulations results indicates that DAGC based ANFIS controller exhibits better performance.

automationinmatlab

Repository for control algorithms, simulation models, observers and fault detection and isolation algorithms.

autonomousmavs

Framework for Autonomous Navigation of Micro Aerial Vehicles

awt

Code for the paper: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

basic_reinforcement_learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

benchmark

A microbenchmark support library

better_nilm

Non-Intrusive Load Monitoring (NILM) aims to predict the status or consumption of domestic appliances in a household only by knowing the aggregated power load. NILM can be formulated as regression problem or most often as a classification problem. Most datasets gathered by smart meters allow to define naturally a regression problem, but the corresponding classification problem is a derived one, since it requires a conversion from the power signal to the status of each device by a thresholding method. We treat three different thresholding methods to perform this task, discussing their differences on various devices from the UK-DALE dataset. We analyze the performance of deep learning state-of-the-art architectures on both the regression and classification problems, introducing criteria to select the most convenient thresholding method.

bluesky

The open source air traffic simulator

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