An optimal washout filter for motion platform using neural network and fuzzy logic

MRC Qazani, H Asadi, S Mohamed, CP Lim… - … Applications of Artificial …, 2022 - Elsevier
To experience the motion sensation of a real vehicle through a motion simulator, a motion
cueing algorithm (MCA) is required to transform the vehicle motions to the driving motion …

Estimation of tool–chip contact length using optimized machine learning in orthogonal cutting

MRC Qazani, V Pourmostaghimi, M Moayyedian… - … Applications of Artificial …, 2022 - Elsevier
Tool–chip contact length has a significant effect on the various characteristics of metal
cutting, including cutting pressures, chip formation, tool wear, tool life, and cutting …

A new prepositioning technique of a motion simulator platform using nonlinear model predictive control and recurrent neural network

MRC Qazani, H Asadi, L Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The motion cueing algorithm (MCA) is the main algorithm in motion simulators in charge of
generating vehicle motions within the platform's constraints. The classical washout filter is …

A time-varying weight MPC-based motion cueing algorithm for motion simulation platform

MRC Qazani, H Asadi, S Mohamed… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The motion cueing algorithm (MCA) is playing the most critical role in motion simulation
platform (MSP) to reproduce the realistic motion sensation of the real car for the MSP's users …

Integration of deep sparse autoencoder and particle swarm optimization to develop a recommender system

M Ahmadian, M Ahmadi, S Ahmadian… - … on Systems, Man …, 2021 - ieeexplore.ieee.org
Recommender systems are known as intelligent systems which have many applications in
enormous domains such as social networks, e-commerce services, and online shopping …

A CNN-LSTM Based Model to Predict Trajectory of Human-Driven Vehicle

S Alsanwy, H Asadi, MRC Qazani… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Vehicle trajectory prediction is essential in ensuring the safe and efficient operation of
advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), as it enables …

A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN

MRC Qazani, F Tabarsinezhad, H Asadi… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
The motion signals are generated for a simulator user based on the visual understanding of
the environment using virtual reality. In this respect, a motion cueing algorithm (MCA) is …

A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles

MRC Qazani, H Asadi, A Shajari… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Autonomous vehicles, commonly known as self-driving cars, are rapidly gaining popularity
due to their numerous advantages, such as reducing traffic, pollution, and emissions while …

Vehicle Trajectory Prediction Using Deep Learning for Advanced Driver Assistance Systems and Autonomous Vehicles

S Alsanwy, MRC Qazani, W Al-Ashwal… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Vehicle trajectory prediction is essential for advanced driver assistance systems (ADAS) and
autonomous vehicles (AVs), playing a crucial role in collision avoidance, path planning, and …

A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles

MRC Qazani, H Asadi, CP Lim… - … on Systems, Man …, 2021 - ieeexplore.ieee.org
The usage of autonomous vehicles in the transportation sector can achieve the objective of
a safe environment. To increase riding comfort in an autonomous vehicle, one main …