Search Results - "Asadi, Houshyar"

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  1. 1

    Measuring vection: a review and critical evaluation of different methods for quantifying illusory self-motion by Kooijman, Lars, Berti, Stefan, Asadi, Houshyar, Nahavandi, Saeid, Keshavarz, Behrang

    Published in Behavior research methods (01-03-2024)
    “…The sensation of self-motion in the absence of physical motion, known as vection , has been scientifically investigated for over a century. As objective…”
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  2. 2

    Multiple objectives optimization of injection-moulding process for dashboard using soft computing and particle swarm optimization by Moayyedian, Mehdi, Qazani, Mohammad Reza Chalak, Amirkhizi, Parisa Jourabchi, Asadi, Houshyar, Hedayati-Dezfooli, Mohsen

    Published in Scientific reports (10-10-2024)
    “…This research focuses on utilizing injection moulding to assess defects in plastic products, including sink marks, shrinkage, and warpages. Process parameters,…”
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  3. 3

    A virtual reality study investigating the train illusion by Kooijman, Lars, Asadi, Houshyar, Mohamed, Shady, Nahavandi, Saeid

    Published in Royal Society open science (12-04-2023)
    “…The feeling of self-movement that occurs in the absence of physical motion is often referred to as vection, which is commonly exemplified using the train…”
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  4. 4

    A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review by Koohestani, Afsaneh, Nahavandi, Darius, Asadi, Houshyar, Kebria, Parham M., Khosravi, Abbas, Alizadehsani, Roohallah, Nahavandi, Saeid

    Published in IEEE access (2019)
    “…Motion sickness is a common perturbation experienced by humans in response to motion stimuli. The motion can happen in either real or virtual environments…”
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  5. 5

    Mental Stress Classification Based on Selected Electroencephalography Channels Using Correlation Coefficient of Hjorth Parameters by Hag, Ala, Al-Shargie, Fares, Handayani, Dini, Asadi, Houshyar

    Published in Brain sciences (01-09-2023)
    “…Electroencephalography (EEG) signals offer invaluable insights into diverse activities of the human brain, including the intricate physiological and…”
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  6. 6

    Detection of Driving Distractions and Their Impacts by Shajari, Arian, Asadi, Houshyar, Glaser, Sebastien, Arogbonlo, Adetokunbo, Mohamed, Shady, Kooijman, Lars, Abu Alqumsan, Ahmad, Nahavandi, Saeid

    Published in Journal of advanced transportation (08-09-2023)
    “…For decades, road crashes have caused many deaths and injuries and generally have had a severe social and economic impact on societies. According to studies,…”
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  7. 7

    Nutritional and Behavioral Countermeasures as Medication Approaches to Relieve Motion Sickness: A Comprehensive Review by Rahimzadeh, Ghazal, Tay, Abdullatif, Travica, Nikolaj, Lacy, Kathleen, Mohamed, Shady, Nahavandi, Darius, Pławiak, Paweł, Qazani, Mohammadreza Chalak, Asadi, Houshyar

    Published in Nutrients (01-03-2023)
    “…The mismatch in signals perceived by the vestibular and visual systems to the brain, also referred to as motion sickness syndrome, has been diagnosed as a…”
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  8. 8

    Significance of Physiological Signal Thresholds in the Early Diagnosis of Simulator Sickness by Rahimzadeh, Ghazal, Plawiak, Pawel, Mohamed, Shady, Lacy, Kathleen, Nahavandi, Darius, Tadeusiewicz, Ryszard, Asadi, Houshyar

    Published in IEEE access (2024)
    “…Simulator sickness not only degrades the quality of interaction within simulator environments but also poses challenges for user enjoyment and the long-term…”
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  9. 9

    Model-based control of axisymmetric hexarot parallel manipulators by Pedrammehr, Siamak, Qazani, Mohammad Reza Chalak, Asadi, Houshyar, Ettefagh, Mir Mohammad, Nahavandi, Saeid

    Published in Results in control and optimization (01-06-2022)
    “…In this research, the control of a hexarot parallel mechanism is investigated. Parallel kinematic simulators or machine tools manipulators suffer from many…”
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  10. 10

    Specific Heat Capacity Extraction of Soybean Oil/MXene Nanofluids Using Optimized Long Short-Term Memory by Qazani, Mohammad Reza Chalak, Aslfattahi, Navid, Kulish, Vladimir, Asadi, Houshyar, Schmirler, Michal, Zakarya, Muhammad, Alizadehsani, Roohallah, Haleem, Muhammad, Kadirgama, K.

    Published in IEEE access (2024)
    “…Researchers are turning to nanofluids in PV/T hybrid systems for enhanced efficiency due to nanoparticle dispersion, improving thermal and optical properties…”
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  11. 11

    An optimised deep learning method for the prediction of dynamic viscosity of MXene-based nanofluid by Qazani, Mohammad Reza Chalak, Aslfattahi, Navid, Kulish, Vladimir, Asadi, Houshyar, Schmirler, Michal, Said, Zafar, Afzal, Asif, Kabir, H. M. Dipu, Arıcı, Müslüm

    “…This study designs and develops a new optimised deep learning method to calculate the dynamic viscosity using the temperature and nanoflake concentration. Long…”
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  12. 12

    High-fidelity learning-based motion cueing algorithm by bypassing worst-case scenario-based tuning technique by Qazani, Mohammad Reza Chalak, Asadi, Houshyar, Najdovski, Zoran, Alsanwy, Shehab, Zakarya, Muhammad, Alam, Furqan, Ouakad, Hassen M., Lim, Chee Peng, Nahavandi, Saeid

    Published in Cognitive robotics (2024)
    “…The motion cueing algorithm (MCA) enhances the realism of simulator driving experiences by generating vehicle motions within platform limitations. Existing…”
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  13. 13

    Incorporating Human Perception With the Motion Washout Filter Using Fuzzy Logic Control by Asadi, Houshyar, Mohamed, Shady, Nahavandi, Saeid

    Published in IEEE/ASME transactions on mechatronics (01-12-2015)
    “…Nowadays, classical washout filters are extensively used in commercial motion simulators. Even though there are several advantages for classical washout…”
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  14. 14

    Optimizing Model Predictive Control horizons using Genetic Algorithm for Motion Cueing Algorithm by Mohammadi, Arash, Asadi, Houshyar, Mohamed, Shady, Nelson, Kyle, Nahavandi, Saeid

    Published in Expert systems with applications (01-02-2018)
    “…•A method is proposed for optimizing control and prediction horizons of MPC-based MCA.•The previous trial-and error process for selecting MPC horizons is…”
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  15. 15

    A review on otolith models in human perception by Asadi, Houshyar, Mohamed, Shady, Lim, Chee Peng, Nahavandi, Saeid

    Published in Behavioural brain research (01-08-2016)
    “…•In this review, the history and development process of otolith models are presented and analysed.•The survey reviews, compares and determines the most…”
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  16. 16

    Prepositioning of a Land Vehicle Simulation-Based Motion Platform Using Fuzzy Logic and Neural Network by Qazani, Mohammad Reza Chalak, Asadi, Houshyar, Mohamed, Shady, Nahavandi, Saeid

    Published in IEEE transactions on vehicular technology (01-10-2020)
    “…The motion cueing algorithms (MCAs) is the method that reproduces the motion sensation of the real vehicle for the users of simulation-based motion platforms…”
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  17. 17

    Multiobjective and Interactive Genetic Algorithms for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm by Mohammadi, Arash, Asadi, Houshyar, Mohamed, Shady, Nelson, Kyle, Nahavandi, Saeid

    Published in IEEE transactions on cybernetics (01-09-2019)
    “…Driving simulators are effective tools for training, virtual prototyping, and safety assessment which can minimize the cost and maximize road safety. Despite…”
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  18. 18

    A systematic review and meta-analysis on the use of tactile stimulation in vection research by Kooijman, Lars, Asadi, Houshyar, Mohamed, Shady, Nahavandi, Saeid

    “…Vection is classically defined as the illusory perception of self-motion induced via visual stimuli. The utility of vection research lies in its potential to…”
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  19. 19

    Optimizing microbial fuel cells with multiple-objectives PSO and type-2 fuzzy neural networks by Chalak Qazani, Mohammad Reza, Ghasemi, Mostafa, Asadi, Houshyar

    Published in Fuel (Guildford) (15-09-2024)
    “…[Display omitted] •T2FNN and multi-objective PSO boost microbial fuel cell performance.•Calculates COD removal, coulombic efficiency, power output, cutting…”
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  20. 20

    A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation by Scheidel, Hendrik, Asadi, Houshyar, Bellmann, Tobias, Seefried, Andreas, Mohamed, Shady, Nahavandi, Saeid

    Published in IEEE transactions on vehicular technology (01-07-2024)
    “…Motion cueing algorithms (MCA) are used to control the movement of motion simulation platforms (MSP) to reproduce the motion perception of a real vehicle…”
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