Research & Publications

Optimizing Heart Disease Prediction Models through SMOTE: Addressing Data Imbalance

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

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

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Scheduling in Cloud of Things: An Overview

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Enhancing prediction models' performance for breast cancer using SMOTE technique

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Breast Cancer Prediction Framework Based on Iterative Optimization with Bayesian Hyperparameter Tuning

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Impact of Solar Energy Usage on Organizations’ Energy Needs: Evidence from Private Banks in Yemen

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Enabling Technologies for Next Generation Wireless Communications: Localization Protocols for Wireless Sensor Networks

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