Remaining useful life estimation in heterogeneous fleets working under variable operating conditions. - Sameer Al-Dahidi; Francesco Di Maio; Piero Baraldi; Enrico Zio (Reliab. Eng. Syst. Saf., 2016)

A dynamic weighting ensemble approach for wind energy production prediction. - Sameer Al-Dahidi; Piero Baraldi; Enrico Zio; Edoardo Legnani (ICSRS, 2017)

Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory. - Piero Baraldi; Francesco Di Maio; Sameer Al-Dahidi; Enrico Zio; Francesca Mangili (Expert Syst. Appl., 2017)

A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis. - Sameer Al-Dahidi; Francesco Di Maio; Piero Baraldi; Enrico Zio; Redouane Seraoui (Appl. Soft Comput., 2018)

Ensemble Approach of Optimized Artificial Neural Networks for Solar Photovoltaic Power Prediction. - Sameer Al-Dahidi; Osama Ayadi; Mohammed Alrbai; Jihad Adeeb (IEEE Access, 2019)

Entropy Generation Optimization for Rarified Nanofluid Flows in a Square Cavity with Two Fins at the Hot Wall. - Wael Al-Kouz; Ahmad Al-Muhtady; Wahib Owhaib; Sameer Al-Dahidi; Montasir Hader; Rama Abu-Alghanam (Entropy, 2019)

A Local Training Strategy-Based Artificial Neural Network for Predicting the Power Production of Solar Photovoltaic Systems. - Sameer Al-Dahidi; Mohamed Louzazni; Nahed Omran (IEEE Access, 2020)

Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms. - Mariam Ibrahim; Ahmad Alsheikh; Qays Al-Hindawi; Sameer Al-Dahidi; Hisham ElMoaqet (Comput. Intell. Neurosci., 2020)

Fault prognostics by an ensemble of Echo State Networks in presence of event based measurements. - Mingjing Xu; Piero Baraldi; Sameer Al-Dahidi; Enrico Zio (Eng. Appl. Artif. Intell., 2020)

System reliability optimization with heterogeneous components using hosted cuckoo optimization algorithm. - Mohamed Arezki Mellal; Sameer Al-Dahidi; Edward J. Williams (Reliab. Eng. Syst. Saf., 2020)

A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments. - Zhe Yang 014; Sameer Al-Dahidi; Piero Baraldi; Enrico Zio; Lorenzo Montelatici (IEEE Trans. Neural Networks Learn. Syst., 2020)

Coordination Protocol and Admission Control for Distributed Services in System-of-Systems With Real-Time Requirements. - Dhiah el Diehn I. Abou-Tair; Alá F. Khalifeh; Sameer Al-Dahidi; Sahel Alouneh; Roman Obermaisser (IEEE Access, 2022)

System design optimization with mixed subsystems failure dependencies. - Mohamed Arezki Mellal; Enrico Zio; Sameer Al-Dahidi; Naoki Masuyama; Yusuke Nojima (Reliab. Eng. Syst. Saf., 2023)

Intrusion Detection System Based on Machine Learning Algorithm to Detect the DDoS Attack in the IoT Network. - Dania Alsawalmeh; Sameer Al-Dahidi; Dhiah el Diehn I. Abou-Tair (ICIS, 2024)

Enhancing Solar Energy Production Prediction Using Weighted k-Nearest Neighbors and Correlation-Based Distance Metrics. - Sameer Al-Dahidi; Bilal Rinchi; Mohammad Alrbai; Osama Ayadi (BDCAT, 2024)

Enhancing Daily Energy Prediction in Solar Photovoltaic Systems: Weighted k-Nearest Neighbors with Pearson Correlation Integration. - Sameer Al-Dahidi; Bilal Rinchi; Mohammad Alrbai; Ali Alahmer (IS, 2024)

Predicting Solar Photovoltaic Power Production Using Artificial Intelligence-Based Algorithms. - Hisham ElMoaqet; Dina Karasneh; Sameer Al-Dahidi; Ghaith Al-Refai (IS, 2024)

A novel approach for remaining useful life prediction of high-reliability equipment based on long short-term memory and multi-head self-attention mechanism. - Sameer Al-Dahidi; Mohammad Rashed; Mohammad Abu-Shams; Mohamed Arezki Mellal; Mohammad Alrbai; Saleem Z. Ramadan; Enrico Zio (Qual. Reliab. Eng. Int., 2024)

Motion planning system for unmanned aerial vehicles in dynamic three-dimensional space: a machine learning approach. - Mohammad H. Garibeh; Sameer Al-Dahidi; Mohammad Hayajneh 002; Mohammad A. Jaradat; Ahmad M. Alshorman (Neural Comput. Appl., 2025)