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Machine Learning Healthcare Applications – 2018 and Beyond | Emerj
Machine Learning Healthcare Applications – 2018 and Beyond | Emerj

Machine Learning and Medical Engineering for Cardiovascular Health and  Intravascular Imaging and Computer Assisted Stenting
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
Pump Industry Spring 2019 Digital Edition by Monkey Media - issuu

Deep Learning for Improved Risk Prediction in Surgical Outcomes |  Scientific Reports
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) 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
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
OctoML raises $15M to make optimizing ML models easier - Internet & Technology News

Leveraging Machine Learning and Big Data for Smart Buildings: A  Comprehensive Survey
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
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
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
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
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey

Machine learning for environmental monitoring | Request PDF
Machine learning for environmental monitoring | Request PDF

Leveraging Machine Learning and Big Data for Smart Buildings: A  Comprehensive Survey
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
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
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey

Predictive Maintenance using Machine learning (LSTM python) | by Junaid  Rana | Medium
Predictive Maintenance using Machine learning (LSTM python) | by Junaid Rana | Medium

Data Driven Computing and Machine Learning in Engineering
Data Driven Computing and Machine Learning in Engineering

Silverman Presentations 2018
Silverman Presentations 2018

Water | Free Full-Text | Ensemble Model Development for the Prediction of a  Disaster Index in Water Treatment Systems | HTML
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
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
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
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
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
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
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
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
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
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