Multi-agent based dynamic resource provisioning and monitoring for cloud computing systems infrastructure. - Mahmoud Al-Ayyoub; Yaser Jararweh; Mustafa Daraghmeh; Qutaibah Althebyan (Clust. Comput., 2015)

Towards improving resource management in cloud systems using a multi-agent framework. - Mahmoud Al-Ayyoub; Mustafa Daraghmeh; Yaser Jararweh; Qutaibah Althebyan (Int. J. Cloud Comput., 2016)

Using Logistic Regression to Improve Virtual Machines Management in Cloud Computing Systems. - Manar Bani Issa; Mustafa Daraghmeh; Yaser Jararweh; Mahmoud Al-Ayyoub; Mohammad A. Alsmirat; Elhadj Benkhelifa (MASS, 2017)

Live VM Migration Across Cloud Data Centers. - Suhib Bani Melhem; Anjali Agarwal; Mustafa Daraghmeh; Nishith Goel; Marzia Zaman (MASS, 2017)

Regression-Based Dynamic Provisioning and Monitoring for Responsive Resources in Cloud Infrastructure Networks. - Mustafa Daraghmeh; Suhib Bani Melhem; Anjali Agarwal; Nishith Goel; Marzia Zaman (AICCSA, 2018)

Linear and Logistic Regression Based Monitoring for Resource Management in Cloud Networks. - Mustafa Daraghmeh; Suhib Bani Melhem; Anjali Agarwal; Nishith Goel; Marzia Zaman (FiCloud, 2018)

Energy efficient dynamic resource management in cloud computing based on logistic regression model and median absolute deviation. - Yaser Jararweh; Manar Bani Issa; Mustafa Daraghmeh; Mahmoud Al-Ayyoub; Mohammad A. Alsmirat (Sustain. Comput. Informatics Syst., 2018)

A Power Management Approach to Reduce Energy Consumption for Edge Computing Servers. - Mustafa Daraghmeh; Ismaeel Al Ridhawi; Moayad Aloqaily; Yaser Jararweh; Anjali Agarwal (FMEC, 2019)

Local Regression Based Box-Cox Transformations for Resource Management in Cloud Networks. - Mustafa Daraghmeh; Anjali Agarwal; Nishith Goel; Jim Kozlowski (SDS, 2019)

Dynamic Resource Management for Cloud Spot Markets. - Fadi Alzhouri; Suhib Bani Melhem; Anjali Agarwal; Mustafa Daraghmeh; Yan Liu 001; Sadeq Younis (IEEE Access, 2020)

Time Series Forecasting using Facebook Prophet for Cloud Resource Management. - Mustafa Daraghmeh; Anjali Agarwal; Ricardo Manzano; Marzia Zaman (ICC Workshops, 2021)

A Multilevel Learning Model for Predicting CPU Utilization in Cloud Data Centers. - Mustafa Daraghmeh; Anjali Agarwal; Yaser Jararweh (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Leveraging Imbalance and Ensemble Learning Methods for Improved Load Prediction in Cloud Computing Systems. - Mustafa Daraghmeh; Anjali Agarwal; Yaser Jararweh (GLOBECOM, 2023)

Incorporating Data Preparation and Clustering Techniques for Workload Segmentation in Large-Scale Cloud Data Centers. - Mustafa Daraghmeh; Anjali Agarwal; Yaser Jararweh (IDSTA, 2023)

Ensemble Learning for Predicting Task Connectivity Over Time in Cloud Data Centers. - Mustafa Daraghmeh; Anjali Agarwal; Yaser Jararweh (INFOCOM Workshops, 2023)

Regression-Based Approach for Proactive Predictive Modeling of Efficient Cloud Cost Estimation. - Mustafa Daraghmeh; Anjali Agarwal; Yaser Jararweh (SDS, 2023)

Cloud Workload Categorization Using Various Data Preprocessing and Clustering Techniques. - Mustafa Daraghmeh; Anjali Agarwal; Yaser Jararweh (UCC, 2023)

Anomaly Detection-Based Multilevel Ensemble Learning for CPU Prediction in Cloud Data Centers. - Mustafa Daraghmeh; Anjali Agarwal; Yaser Jararweh (CCECE, 2024)

Large Language Models in Drug Discovery: A Comprehensive Analysis of Drug-Target Interaction Prediction. - Raghad J. AbuNasser; Mostafa Z. Ali; Yaser Jararweh; Mustafa Daraghmeh; Talal Z. Ali (FLLM, 2024)

Leveraging RF Signal Transformation and Sigmoid Calibration for Optimized Drone Class Prediction. - Mustafa Daraghmeh; Yaser Jararweh; Anjali Agarwal (FMEC, 2024)

Predictive Modeling of Resource Utilization in Cloud Data Centers Using Multi-Output Regression. - Mustafa Daraghmeh; Anjali Agarwal; Yaser Jararweh (GLOBECOM, 2024)

Exploiting Machine Learning for Osteoporosis Risk Prediction and Early Intervention. - Mohammad Jararweh; Mustafa Daraghmeh; Mostafa Z. Ali (MCNA, 2024)

Optimizing serverless computing: A comparative analysis of multi-output regression models for predictive function invocations. - Mustafa Daraghmeh; Anjali Agarwal; Yaser Jararweh (Simul. Model. Pract. Theory, 2024)

An ensemble clustering approach for modeling hidden categorization perspectives for cloud workloads. - Mustafa Daraghmeh; Anjali Agarwal; Yaser Jararweh (Clust. Comput., 2024)

Machine Learning-Based IoT Cyber Threat Prediction Using Network Traffic Analysis. - Mustafa Daraghmeh; Yaser Jararweh; Anjali Agarwal; Kuljeet Kaur (FMEC, 2025)

Leveraging machine learning and feature engineering for optimal data-driven scaling decision in serverless computing. - Mustafa Daraghmeh; Yaser Jararweh; Anjali Agarwal (Simul. Model. Pract. Theory, 2025)

Multilevel learning for enhanced traffic congestion prediction using anomaly detection and ensemble learning. - Mohammed A. Khasawneh; Mustafa Daraghmeh; Anjali Awasthi; Anjali Agarwal (Clust. Comput., 2025)