cxzhangqi's repositories
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.
air-quality-analysis-forecasting
This repository contains the notebooks used in my project "Air quality analysis and forecasting"
amoc-reconstruction
Code and data for Ocean Science paper
C
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Carbon-Sinks-Atlas
The South African Carbon Sinks Atlas
ceviche
:shrimp: Electromagnetic Simulation + Automatic Differentiation
deep-learning-for-time-series-data
The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/
Deep-Spatial-Transformers
Deep Spatial Transformers for Autoregressive Forecasting of QG Turbulence
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.
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"
EvaMO_UOSL_code
Analysis scripts used in "Evaluating Monin-Obukhov Scaling in the Unstable Oceanic Surface Layer"
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.
fdtd-1
A 3D electromagnetic FDTD simulator written in Python
FeaturesAnalysis
Interpreting Deep Neural Networks Models for Acoustic Source Localization using Layer-wise Relevance Propagation.
ffip
FDTD for Inverse Problems
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.
Lauderdale_etal_2016_GBC
Diagnostic routines to quantify the drivers of air-sea CO2 fluxes in an ocean biogeochemistry model
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
MarcoLora
In the offshore ocean, raspberrypi connect Hydrophone to detect underwater noise, after processing the data then using LoRa to transfer data to laptop
OceanWave3D-Fortran90
OceanWave3D - a very efficient coastal engineering research tool used worldwide for simulation of nonlinear and dispersive free surface waves in varying bathymetries from very deep to shallow water. Learn more about the model:
Paper-Queries-stream-optimization-in-wireless-sensor-network-based-on-LSTM-model
Paper: Queries stream optimization in wireless sensor network based on LSTM model
reverberation_learning_python
Reverberation Deep Learning Toolbox for Python - Keras
ROMS_sp
Regional Ocean Modeling System (ROMS) with a semi-prognostic nudging option
simplePE.jl
This is a simple Julia Parabolic equation model used for outdoor noise propagation
STARMA-GCN
用于测试STARMA和GCN效果的project
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.
Underwater-acoustic-channel-dataset
The dataset simulated for deep learning
Underwater-Broadband-Communication
Design and Implement an acoustic system for underwater communication
wsnFault
Statistical Method Based Fault Detection Algorithm for Wireless Sensor Networks (WSNs).