cxzhangqi

2.680-Marine-Vehicle-Autonomy

This course covers basic topics in autonomous marine vehicles, focusing mainly on software and algorithms for autonomous decision making (autonomy) by underwater vehicles operating in the ocean environments, autonomously adapting to the environment for improved sensing performance. It will introduce students to underwater acoustic communication environment, as well as the various options for undersea navigation, both crucial to the operation of collaborative undersea networks for environmental sensing. Sensors for acoustic, biological and chemical sensing by underwater vehicles and their integration with the autonomy system for environmentally adaptive undersea mapping and observation will be covered. The subject will have a significant lab component, involving the use of the MOOS-IvP autonomy software infrastructure for developing integrated sensing, modeling and control solutions for a variety of ocean observation problems, using simulation environments and a field testbed with small autonomous surface craft and underwater vehicles operated on the Charles River.

2020a_IMT_SSH_mapping_NATL60

A student challenge on both mapping of satellite altimeter sea surface height data and its dynamical update through web portals for scientific teams interested in the data challenge. Organisation: IMT-Atlantique, MEOM@IGE, Ocean-Next and CLS.

2020a_SSH_mapping_NATL60

A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.

2021_MSSP

This repository contains the established models discussed in the paper: "A Physics-constrained Deep Learning Based Approach for Acoustic Inverse Scattering Problems"

2L_QG_EOF_DMD

Deterministic and stochastic (projector operator stochastic parameterization) 2-layer QG model

3D_Parabolic_Equation_CUDA

Acoustic Parabolic Equation model with CUDA acceleration.

ML-Applied-for-Physics

paraPropPython

split-step parabolic equation solver for in-ice radio propagation

Rafelski_LandOceanModel

Code for land uptake of CO2 and ocean uptake of CO2. Original author: Lauren Rafelski

transfer-learning-soil-moisture-prediction

Improved Daily SMAP Satellite Soil Moisture Prediction over China using deep learning model with transfer learning

cxzhangqi/2020a_IMT_SSH_mapping_NATL60

A student challenge on both mapping of satellite altimeter sea surface height data and its dynamical update through web portals for scientific teams interested in the data challenge. Organisation: IMT-Atlantique, MEOM@IGE, Ocean-Next and CLS.

cxzhangqi/air-quality-analysis-forecasting

This repository contains the notebooks used in my project "Air quality analysis and forecasting"

cxzhangqi/amoc-reconstruction

Code and data for Ocean Science paper

cxzhangqi/Carbon-Sinks-Atlas

The South African Carbon Sinks Atlas

cxzhangqi/ceviche

:shrimp: Electromagnetic Simulation + Automatic Differentiation

cxzhangqi/DA-tutorials

Course on data assimilation (DA)

cxzhangqi/Data-Assimilation-Notebooks

cxzhangqi/Dimensional-Reduction-on-Sea-Surface-Temperatur-Dataset-using-Principal-Component-Analysis

Applied Principal Component Analysis (PCA) to get the largest variance of sea surface temperature data in the Pacific Ocean spatially and temporally so that it can be seen what phenomenon is happening.

cxzhangqi/DLC-toolbox

Deep Learning for Climate

cxzhangqi/effect_of_model_res_Argentine_Basin

Code for "The effect of resolution on vertical heat and carbon transports in a regional ocean circulation model of the Argentine Basin"

cxzhangqi/EKE_SST_trends

A repository with Jupyter notebooks that reproduce the analyses and figures included in the manuscript "Global changes in oceanic mesoscale currents over the satellite altimetry record".

cxzhangqi/EvaMO_UOSL_code

Analysis scripts used in "Evaluating Monin-Obukhov Scaling in the Unstable Oceanic Surface Layer"

cxzhangqi/Fault-Detection-in-Wireless-Sensor-Networks-using-Statistical-Machine-Learning-Methods-and-Neural-Ne

I have used different machine learning algorithm such as Support Vector Machine (SVM), Random forest, K-Nearest Neighbor (KNN), Decision Tree, Gradient Boost, XG Boost and Recurrent Neural Network (RNN) for classification.

cxzhangqi/fdtd-1

A 3D electromagnetic FDTD simulator written in Python

cxzhangqi/FeaturesAnalysis

Interpreting Deep Neural Networks Models for Acoustic Source Localization using Layer-wise Relevance Propagation.

cxzhangqi/ffip

FDTD for Inverse Problems

cxzhangqi/fsle

Scripts to compute and analyze FSLE fields from numerical ocean circulation data

cxzhangqi/gulfstream-lrm

The project development aims to interpolate the seawater temperature, salinity three-dimensional structure, and to understand the physical oceanography in the turbulent region Gulf Stream by exploiting the latent regression model and deep regression neural networks.

cxzhangqi/Lauderdale_etal_2016_GBC

Diagnostic routines to quantify the drivers of air-sea CO2 fluxes in an ocean biogeochemistry model

cxzhangqi/maleria-disease-prediction-using-transfer-learning

In this project we simply detect malaria using one of the best deep-learning technique is called transfer learning

cxzhangqi/MarcoLora

In the offshore ocean, raspberrypi connect Hydrophone to detect underwater noise, after processing the data then using LoRa to transfer data to laptop

cxzhangqi/MODIS_SST

Processing code for MODIS sea surface temperatures to estimate surface and subsurface ocean temperatures near Sermilik Fjord

cxzhangqi/Paper-Queries-stream-optimization-in-wireless-sensor-network-based-on-LSTM-model

Paper: Queries stream optimization in wireless sensor network based on LSTM model

cxzhangqi/reverberation_learning_python

Reverberation Deep Learning Toolbox for Python - Keras

cxzhangqi/ROMS_sp

Regional Ocean Modeling System (ROMS) with a semi-prognostic nudging option

cxzhangqi/simplePE.jl

This is a simple Julia Parabolic equation model used for outdoor noise propagation

cxzhangqi/STARMA-GCN

用于测试STARMA和GCN效果的project

cxzhangqi/Transformer-model-for-prediction-in-low-chemical-data-regimes

This is the code for "Data augmentation and transfer learning strategies for reaction prediction in low chemical data regimes" paper.

cxzhangqi/Underwater-acoustic-channel-dataset

The dataset simulated for deep learning

cxzhangqi/wsnFault

Statistical Method Based Fault Detection Algorithm for Wireless Sensor Networks (WSNs).