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    Towards robust autonomous driving systems through adversarial test set generation 

    Unal, Devrim; Catak, Ferhat Ozgur; Houkan, Mohammad Talal; Mudassir, Mohammed; Hammoudeh, Mohammad ( ISA - Instrumentation, Systems, and Automation Society , 2023 , Article)
    Correct environmental perception of objects on the road is vital for the safety of autonomous driving. Making appropriate decisions by the autonomous driving algorithm could be hindered by data perturbations and more ...
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    Virtual reality for ambulance simulation environment 

    Halabi, O.; Salahuddin, T.; Karkar, A.G.; Alinier, G. ( Springer , 2022 , Article)
    Simulations are beneficial in evaluating clinicians' empirical competencies through practical skills, prioritizing, and decision-making as part of patient care scenarios generally run in a full-scale physical context. ...
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    Bringing Coordination Languages Back to the Future Using Blockchain Smart Contracts 

    Hammoudeh, Mohammad; Adebisi, Bamidele; Unal, Devrim; Laouid, Abdelkader ( Association for Computing Machinery , 2021 , Conference)
    This paper presents a blockchain extension of the run-time Sensing as a Service SOA (3SOA) approach presented in [5]. 3SOA defines a practical approach for implementing service-oriented Internet of Things (IoT) using ...
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    Smoking induced salivary microbiome dysbiosis and is correlated with lipid biomarkers 

    Mohammed, Layla I.; Razali, Rozaimi; Zakaria, Zain Zaki; Benslimane, Fatiha M.; Cyprian, Farhan; Al-Asmakh, Maha... more authors ... less authors ( Springer Nature , 2024 , Article)
    Background: The oral microbiome plays an essential role in maintaining oral homeostasis and health; smoking significantly affects it, leading to microbial dysbiosis. The study aims to investigate changes in the oral ...
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    Adopting formal verification and model-based testing techniques for validating a blockchain-based healthcare records sharing system 

    Jabbar, Rateb; Krichen, Moez; Fetais, Noora; Barkaoui, Kamel ( SciTePress , 2020 , Conference)
    The Electronic Health Records (EHR) sharing system is the modern tool for delivering efficient healthcare to patients. Its functions include tracking of therapies, monitoring of the treatment effectiveness, prediction of ...

    Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation 

    Ruobin, Gao; Zhang, Xiaocai; Liang, Maohan; Suganthan, Ponnuthurai Nagaratnam; Dong, Heng ( Elsevier , 2025 , Article)
    Wave energy, a promising renewable energy source, has the potential to diversify the global energy mix significantly. Accurate forecasting of significant wave height (SWH) is crucial for enhancing the efficiency and ...
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    Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art 

    Gao, Ruobin; Liang, Maohan; Dong, Heng; Luo, Xuewen; Suganthan, Ponnuthurai N. ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)
    Underwater acoustic signal (UAS) denoising is crucial for enhancing the reliability of underwater communication and monitoring systems by mitigating the effects of noise and improving signal clarity. The complex and dynamic ...

    A single-objective Sequential Search Assistance-based Multi-Objective Algorithm Framework 

    Peng, Chen; Liang, Jing; Qiao, Kangjia; Ban, Xuanxuan; Suganthan, P.N.; Lin, Hongyu; Zhang, Jilong... more authors ... less authors ( Elsevier , 2025 , Article)
    In recent years, multi-objective optimization has garnered significant attention from researchers. Evolutionary algorithms are proven to be highly effective in solving complex optimization problems in plenty of cases. ...

    An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems 

    Kunjie, Yu; Yang, Zhenyu; Liang, Jing; Qiao, Kangjia; Qu, Boyang; Suganthan, Ponnuthurai Nagaratnam... more authors ... less authors ( Elsevier , 2025 , Article)
    Large-scale constrained multiobjective optimization problems (LSCMOPs) refer to constrained multiobjective optimization problems (CMOPs) with large-scale decision variables. When using evolutionary algorithms to solve ...

    High frequency volatility forecasting and risk assessment using neural networks-based heteroscedasticity model 

    Aryan, Bhambu; Bera, Koushik; Natarajan, Selvaraju; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2025 , Article)
    High frequency volatility forecasting is essential for timely risk management and informed decision-making in dynamic financial markets. However, accurate forecasting is challenging due to the rapid nature of market movements ...
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      Suganthan, Ponnuthurai Nagaratnam (12) Liang, Jing (4) Qiao, Kangjia (3) Ban, Xuanxuan (2) ... View More
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