Towards Multi-Objective Optimisation of Hadoop 2.x Application Deployment on Public Clouds. - Naif Alasmari; Radu Calinescu (ES, 2018)

Optimising Cloud-Based Hadoop 2.x Applications. - Naif Alasmari (UCC Companion, 2018)

Evolutionary-Guided Synthesis of Verified Pareto-Optimal MDP Policies. - Simos Gerasimou; Javier Cámara 001; Radu Calinescu; Naif Alasmari; Faisal Alhwikem; Xinwei Fang (ASE, 2021)

Maintaining driver attentiveness in shared-control autonomous driving. - Radu Calinescu; Naif Alasmari; Mario Gleirscher (SEAMS@ICSE, 2021)

Synthesis of Pareto-optimal Policies for Continuous-Time Markov Decision Processes. - Naif Alasmari; Radu Calinescu (SEAA, 2022)

Quantitative verification with adaptive uncertainty reduction. - Naif Alasmari; Radu Calinescu; Colin Paterson; Raffaela Mirandola (J. Syst. Softw., 2022)

Improved metaheuristics with deep learning based object detector for intelligent control in autonomous vehicles. - Naif Alasmari; Manal Abdullah Alohali; Majdi Khalid; Nabil Sharaf Almalki; Abdelwahed Motwakel; Mohamed Ibrahim Alsaid; Azza Elneil Osman; Amani A. Alneil (Comput. Electr. Eng., 2023)

Textual emotion analysis using improved metaheuristics with deep learning model for intelligent systems. - Manal Abdullah Alohali; Naif Alasmari; Nabil Sharaf Almalki; Majdi Khalid; Mrim M. Alnfiai; Mohammed Assiri; Sitelbanat Abdelbagi (Trans. Emerg. Telecommun. Technol., 2024)