Research & Publications

Scheduling in Cloud of Things: An Overview

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Predicting heart disease using machine learning techniques on electronic health records data

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An Optimal Framework Based on the GentleBoost Algorithm and Bayesian Optimization for the Prediction of Breast Cancer Patients' Survivability

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Iterative tuning of tree-ensemble-based models' parameters using Bayesian optimization for breast cancer prediction

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Survey: state-of-the-art energy-consumption optimization solutions for mobile ad-hoc networks

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An Optimized Framework Based on Data Exploration and Dynamic Ensemble-Based Models for Breast Cancer Prediction

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Optimizing Heart Disease Prediction Models through SMOTE: Addressing Data Imbalance

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Classification and evaluation framework of automated testing tools for agile software: Technical review

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Deep Learning and Blockchain for Detection and Prevention Abuse of Privileges

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