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Machine Learning on the COVID-19 Pandemic, Human Mobili...
Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality
Efficient Prediction of Cardiovascular Disease Using Ma...
Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms...
Inference Attack Resistant E Healthcare Cloud System wi...
Inference Attack Resistant E Healthcare Cloud System with Fine Grained Access Co...
Unsupervised Doppler Radar Based Activity Recognition f...
Unsupervised Doppler Radar Based Activity Recognition for e Healthcares
Deep Belief Network Integrating Improved Kernel Based E...
Deep Belief Network Integrating Improved Kernel Based Extreme Learning Machine f...
RS-HABE: Revocable-Storage and Hierarchical Attribute-B...
RS-HABE: Revocable-Storage and Hierarchical Attribute-Based Access Scheme for Se...
Detection and Prediction of Diabetes Using Data Mining ...
Detection and Prediction of Diabetes Using Data Mining A Comprehensive Review
A Novel Stacking Approach for Accurate Detection of Fak...
A Novel Stacking Approach for Accurate Detection of Fake News
Identifiability of Control Oriented Glucose Insulin Lin...
Identifiability of Control Oriented Glucose Insulin Linear Models Review and Ana...
Deep Learning for Diabetes: A Systematic Review
Deep Learning for Diabetes: A Systematic Review
Detection and Prediction of Diabetes Using Data Mining:...
Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review
Non-Invasive Glucose Monitoring Using Optical Sensor an...
Non-Invasive Glucose Monitoring Using Optical Sensor and Machine Learning Techni...
Wireless Networked Multirobot Systems in Smart Factories
Wireless Networked Multirobot Systems in Smart Factories
Machine Learning Tools for Long-Term Type 2 Diabetes Ri...
Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction
Blockchain-Based Secure Healthcare Application for Diab...
Blockchain-Based Secure Healthcare Application for Diabetic-Cardio Disease Predi...
Predicting at-Risk Students at Different Percentages of...
Predicting at-Risk Students at Different Percentages of Course Length for Early ...