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actor_critic_control_tracking

adaptive-dynamic-programming-algorithms

Adaptive dynamic programming

agclstm

Paper: Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting

attention_lstm_rul_prediction

a rul prediction transfomer model

batch-performance-prediction

Data is being recorded from various condition monitoring sensors in a manufacturing plant. There are hundreds of such sensors which may be impacting the quality of final product which is getting manufactured, hence we can model this problem as a multivariate regression problem.

cnctoolpathoptimize

CNC tool path optimization with genetic algorithm

continuous-time-value-iteration

Implementation of model-free Value Iteration algorithm to design optimal state feedback controller for continuous-time LTI systems

deep-learning-keras-projects

Deep Learning projects using Keras

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

device-failure-prediction

Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help determine the condition of in-service equipment in order to predict when maintenance should be performed. This approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted.

elm_froth_flotation

极限学习机测试泡沫浮选

flotation

flotation_old

froth-flotation-ensemble-learning

集成学习用于泡沫浮选工况识别中

froth-flotation-videoanalytics-using-opencv

froth4

Monitoring and controling froth status in froth flotation with 3D computer vision techniques

froth_flotation_computer_vision

Bachelor's thesis of university of Tabiz

frothsoftsensor

fuzzy-expert-system

Expert System with Fuzzy Control to Froth Flotation control

jd_try_new

knowledge_graph_demo

本项目用于展示三元组抽取后形成的知识图谱，包括几本小说的实体关系，以及README.md，介绍这方面的一篇文章。

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

manufacturing-cost-prediction

Predicting Relationship between manufacturing cost and number of units; Let's assume I work as a consultant to a start-up company that was looking to develop a model to estimate the cost of goods sold as they vary the production volume (number of units produced). The startup gathered data and has asked me to develop a model to predict its cost vs. the number of units sold.

manufacturing-defect-prediction-system

mathematical-modeling-in-python

用Python实现了《数学建模算法与应用》第二版中的部分示例代码. (原书中使用的是Matlab)

micro-expression-classification-using-local-binary-pattern-from-five-intersecting-planes

A new feature extraction method, which is improved by LBP-TOP, is preprocessed by EVM.

minimize-energy-consumption-with-deep-learning-model

Use Deep Q-Learning model to optimize energy consumption of a data center

mould

nasa

Analysis for NASA data sets

neural_networks_froth_flotation

这是一个简单的利用神经网络来对泡沫浮选图片进行工况分类的项目，其中工况分为3类（高品位、中品位、低品位），涉及到