Python

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A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks

A Deep Blockchain Framework-Enabled Collaborative Intru...

A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protec...

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A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Networks

A Decoupled Learning Strategy for Massive Access Optimi...

A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Ne...

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A Cascaded Deep Convolutional Network for Vehicle Logo Recognition From Frontal and Rear Images of Vehicles

A Cascaded Deep Convolutional Network for Vehicle Logo ...

A Cascaded Deep Convolutional Network for Vehicle Logo Recognition From Frontal ...

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A Blood Glucose Control Framework Based on Reinforcement Learning With Safety and Interpretability: In Silico Validation

A Blood Glucose Control Framework Based on Reinforcemen...

A Blood Glucose Control Framework Based on Reinforcement Learning With Safety an...

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A Holistic Framework for Crime Prevention, Response, and Analysis With Emphasis on Women Safety Using Technology and Societal Participation

A Holistic Framework for Crime Prevention, Response, an...

A Holistic Framework for Crime Prevention, Response, and Analysis With Emphasis ...

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A Glucose Insulin Mixture Model and Application to Short Term Hypoglycemia Prediction in the Night

A Glucose Insulin Mixture Model and Application to Shor...

A Glucose Insulin Mixture Model and Application to Short Term Hypoglycemia Predi...

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A Fuzzy Logic-Based Framework for Mapping Crime Data on Established Sociological Hypothesis for Societal Disorder Identification and Prevention

A Fuzzy Logic-Based Framework for Mapping Crime Data on...

A Fuzzy Logic-Based Framework for Mapping Crime Data on Established Sociological...

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A Development of Granular Input Space in System Modeling

A Development of Granular Input Space in System Modeling

A Development of Granular Input Space in System Modeling

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A Deep Learning Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients

A Deep Learning Based Unsupervised Method to Impute Mis...

A Deep Learning Based Unsupervised Method to Impute Missing Values in Patient Re...

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A Deep Learning Approach to Predict Diabetes’ Cardiovascular Complications From Administrative Claims

A Deep Learning Approach to Predict Diabetes’ Cardiovas...

A Deep Learning Approach to Predict Diabetes’ Cardiovascular Complications From ...

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Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction

Machine Learning Tools for Long-Term Type 2 Diabetes Ri...

Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction

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Wireless Networked Multirobot Systems in Smart Factories

Wireless Networked Multirobot Systems in Smart Factories

Wireless Networked Multirobot Systems in Smart Factories

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Non-Invasive Glucose Monitoring Using Optical Sensor and Machine Learning Techniques for Diabetes Applications

Non-Invasive Glucose Monitoring Using Optical Sensor an...

Non-Invasive Glucose Monitoring Using Optical Sensor and Machine Learning Techni...

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Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review

Detection and Prediction of Diabetes Using Data Mining:...

Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review

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Water, Soil and Air Pollutants’ Interaction on Mangrove Ecosystem and Corresponding Artificial Intelligence Techniques Used in Decision Support Systems

Water, Soil and Air Pollutants’ Interaction on Mangrove...

Water, Soil and Air Pollutants’ Interaction on Mangrove Ecosystem and Correspond...

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Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models

Predicting at-Risk Students at Different Percentages of...

Predicting at-Risk Students at Different Percentages of Course Length for Early ...