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cxzhangqi's Projects

optimized_leach icon optimized_leach

https://www.researchgate.net/project/Development-of-High-Performance-Wireless-Sensor-Network-based-on-Stochastic-Geometry-and-Graphical-Optimization-techniques-for-hybrid-Event-Monitoring-within-Deep-Belief-Network

osse_bob-4dvarnet icon osse_bob-4dvarnet

Directory containing all the interpolation codes used in the article: Data-driven Interpolation of sea Surface Suspended Sediment Concentrations derived from ocean colour remote sensing data

paper2 icon paper2

This repository contains the MATLAB codes for the time-series prediction using (i) MMSE forecast of ARIMA models (ii) Kalman filter approach (iii)Artificial neural networks. The codes for the wavelet version of the above techniques is also presented here.

paraproppython icon paraproppython

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

pba_impr icon pba_impr

An improvement of Probabilistic algorithm for source location privacy in Wireless Sensor Networks

pbdl-book icon pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.2)

pcm icon pcm

Profile Classification Modelling (PCM) is an ocean data analysis method based on un-supervised classification of vertical profiles

pdesbynns icon pdesbynns

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

pemodel icon pemodel

Matlab and Fortran codes for the parabolic equation model

pinns icon pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pob icon pob

This project is meant to be a collection of notes on physical oceanography.

popy icon popy

Commonly used routines in Physical Oceanography.

predicting_energy_consumption_with_convolutional_neural_networks icon predicting_energy_consumption_with_convolutional_neural_networks

This repository contains code that implements a pipeline (employing raster.io, gdal, and SentinelHub API) in order to create a Convolutional Neural Network with Transfer Learning (created using TensorFlow) designed to predict the localized energy consumption based off satellite imagery.

prof icon prof

reconstruction velocity profile from surface data

propagation-simulation-result icon propagation-simulation-result

The results of numerical FDTD simulations for the paper entitled "Whistler Waves' Propagation in Plasmas with Systems of Small-Scale Density Irregularities: Numerical Simulations and Theory" by Zudin I.Yu. et al.

pycoare icon pycoare

Initial Python implementation of COARE air/sea flux algorithms developed at NOAA Physical Sciences Lab

pyram icon pyram

Python adaptation of the Range-dependent Acoustic Model (RAM).

pyrcca icon pyrcca

Regularized kernel canonical correlation analysis in Python

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