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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
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
Paper: Queries stream optimization in wireless sensor network based on LSTM model
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.
📰 📄 A collection of research papers from the earth science community that use AI approaches.
split-step parabolic equation solver for in-ice radio propagation
An improvement of Probabilistic algorithm for source location privacy in Wireless Sensor Networks
Welcome to the Physics-based Deep Learning Book (v0.2)
Profile Classification Modelling (PCM) is an ocean data analysis method based on un-supervised classification of vertical profiles
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
Matlab and Fortran codes for the parabolic equation model
3D acoustic wave propagation in homogeneous isotropic media using PETSc and Krylov space method
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
This project is meant to be a collection of notes on physical oceanography.
Commonly used routines in Physical Oceanography.
A centralized adaptive power control and routing algorithm for rechargeable Wireless Sensor Network with limited power source
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.
reconstruction velocity profile from surface data
All projects commit in HKUST
Communication Channels FDTD project
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.
Initial Python implementation of COARE air/sea flux algorithms developed at NOAA Physical Sciences Lab
Kriging Toolkit for Python
Python adaptation of the Range-dependent Acoustic Model (RAM).
Regularized kernel canonical correlation analysis in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.