Distributed IoT platform applied to home monitoring
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Updated
Feb 12, 2021 - Python
Distributed IoT platform applied to home monitoring
end-to-end implementation of symbolic regression with expression trees and genetic optimization algorithm.
A platform supporting the creation of data-driven surveys.
A novel method for sampling the active and noisy areas is proposed by using the purification of gray and non-gray matter areas of fMRI data. Also, a data-driven network is proposed in a parallel, multi-step and integrated manner for optimal noise reduction of t-fMRI data.
Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 394-399, doi: 10.1109/CAC53003.2021.9728233.
Mapping academic research papers into a graph using machine learning
This repository contains codes for a preprint titled "A Bootstrap Strategy to Train, Validate and Test Reduced Order Models of Coupled Geomechanical Processes" submitted to Computers and Geosciences
This Streamlit app allows users to upload various types of files (PDF, DOCX, TXT) and ask questions related to the content of the file. The app uses the OpenAI API to provide answers to the user's questions.
Xelhua (Xel) is a cloud-agnostic big data platform that faces the challenges of enabling end-users and organizations (at high-level and by using graphical design-driven schemes) to build high availability cloud agnostic analytics services without programming.
A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objective functions.
Prototype tool for creating 3D mini maps using data-driven procedural placement. The logic is in Python and visualization is in JavaScript with Three.js
Code to train and test a neural network-based event trigger for consensus problems.
UI autotests for web application, include Python tests and some Gherkin and Robot Framework tests
Backend de dataguadian Pro : plateforme de profilage et correction de base de données
Data-Driven Decision Making: Selecting the Best Regression Model for E-commerce Sales
⚛️🤖 Data-driven nearest neighbor models for predicting experimental results on silicon lithium-ion battery anodes
Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can be further studied.
Data-driven approach for AUV navigation
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