CV | Alaa Abdulbasit Abdullah Almelibari

Social Networks

Qualifications

الدكتوراه

2015

البرمجة وعلوم الحاسب

جامعة شيفيلد/بريطانيا | بريطانيا

الماجستير

2010

البرمجة وعلوم الحاسب

جامعة شيفيلد/بريطانيا | بريطانيا

البكالوريوس

1428

البرمجة وعلوم الحاسب

جامعة ام القرى | المملكة العربية السعودية

Scientific Research

An Optimized CNN-RNN Framework Based on GA Algorithm for Energy Production Prediction

2026

مقال في مجلة | KeAi Communications Co. | Unconventional Resources

Enhancing Diabetes Disease Prediction and Privacy Preservation via Federated Learning and PSO-WCO Optimization

2025

مقال في مجلة | IAPress | Statistics, Optimization & Information Computing

Intrusion Detection System Traffic Classification Based on Machine Learning with Correlation-Based Filtering and a Genetic Algorithm-Inspired Feature Selection Method for IoT Networks

2025

مقال في مجلة | ETASR | Engineering, Technology and Applied Science Research

Novel Deep Learning Model Optimized by Random Search or Grid Search Method for Soil Erosion Susceptibility Prediction

2025

مقال في مجلة | IAPress | Statistics, Optimization & Information Computing

Enhancing Liver Disease Classification Based on a Stacked Machine Learning Model

2025

مقال في مجلة | ETASR | Engineering, Technology and Applied Science Research

Mining and Exploring the Structure of Academic Tweets

2018

مقال في مجلة | Maxwell Scientific Publications | Research Journal of Applied Sciences, Engineering and Technology

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CV

Qualifications

الدكتوراه

الماجستير

البكالوريوس

Scientific Research

An Optimized CNN-RNN Framework Based on GA Algorithm for Energy Production Prediction

Enhancing Diabetes Disease Prediction and Privacy Preservation via Federated Learning and PSO-WCO Optimization

Intrusion Detection System Traffic Classification Based on Machine Learning with Correlation-Based Filtering and a Genetic Algorithm-Inspired Feature Selection Method for IoT Networks

Novel Deep Learning Model Optimized by Random Search or Grid Search Method for Soil Erosion Susceptibility Prediction

Enhancing Liver Disease Classification Based on a Stacked Machine Learning Model

Mining and Exploring the Structure of Academic Tweets

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