Latest Projects based on Image Processing
Integration of data analytics with cloud services for safer process systems, application examples and implementation challenges - ScienceDirect
Machine Learning and Data Mining in Pattern Recognition
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - The Lancet Digital Health
Machine Learning Healthcare Applications – 2018 and Beyond | Emerj
Sustainability | Free Full-Text | Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0 | HTML
Sustainability | Free Full-Text | Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0 | HTML
Sustainability | Free Full-Text | Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0 | HTML
PDF) A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home
Applied Machine Learning in Python week4 Assignment solution - codemummy |online technical computer science platform.
Data Driven Computing and Machine Learning in Engineering
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting
Pump Industry Spring 2019 Digital Edition by Monkey Media - issuu
PDF) Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
Predictive Maintenance using Machine learning (LSTM python) | by Junaid Rana | Medium
PDF) Predictive Maintenance with Sensor Data Analytics on a Raspberry Pi-Based Experimental Platform
Sustainability | Free Full-Text | Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0 | HTML
PDF) Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - The Lancet Digital Health
OctoML raises $15M to make optimizing ML models easier - Internet & Technology News
Drilling Stuck Pipe Prediction in Algerian Oil Fields: Time Series Forecasting Approach | SpringerLink
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - The Lancet Digital Health
Machine learning for environmental monitoring | Request PDF
