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Machine Learning Healthcare Applications – 2018 and Beyond | Emerj
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
Deep Learning for Improved Risk Prediction in Surgical Outcomes | Scientific Reports
PDF) A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home
PDF) Predictive Maintenance with Sensor Data Analytics on a Raspberry Pi-Based Experimental Platform
OctoML raises $15M to make optimizing ML models easier - Internet & Technology News
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Integration of data analytics with cloud services for safer process systems, application examples and implementation challenges - ScienceDirect
Drilling Stuck Pipe Prediction in Algerian Oil Fields: Time Series Forecasting Approach | SpringerLink
Water Pumps maintenance prediction : data-science illustrated | by m.zaradzki | Towards Data Science
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Machine learning for environmental monitoring | Request PDF
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
EDEn–Electroceutical Design Environment: Ion Channel Tissue Expression Database with Small Molecule Modulators - ScienceDirect
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Predictive Maintenance using Machine learning (LSTM python) | by Junaid Rana | Medium
Data Driven Computing and Machine Learning in Engineering
Silverman Presentations 2018
Water | Free Full-Text | Ensemble Model Development for the Prediction of a Disaster Index in Water Treatment Systems | HTML
Sustainability | Free Full-Text | Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0 | HTML
PDF) Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database
The Official Journal of ATTD Advanced Technologies & Treatments for Diabetes Conference Madrid, Spain—February 19–22, 2020 | Diabetes Technology & Therapeutics
Machine Learning Applications Using Python - Cases Studies from Healthcare, Retail, and Finance | Puneet Mathur | Apress
PDF) Development of an Open-Access and Explainable Machine Learning Prediction System to Assess the Mortality and Recurrence Risk Factors of Clostridioides Difficile Infection Patients
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 and Data Mining in Pattern Recognition
Sustainability | Free Full-Text | Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0 | HTML
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