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2020 – today
- 2024
[j256]Roohallah Alizadehsani
, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 339(3): 1077-1118 (2024)- [j255]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149(Part A): 111027 (2024) - [j254]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A review of Explainable Artificial Intelligence in healthcare. Comput. Electr. Eng. 118: 109370 (2024) - [j253]Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang, Mohammad Reza Chalak Qazani, Sam Oladazimi, Chu Kiong Loo, Chee Peng Lim, Saeid Nahavandi:
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review. Expert Syst. Appl. 249: 123717 (2024) - [j252]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz:
Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 577: 127317 (2024) - [j251]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine learning meets advanced robotic manipulation. Inf. Fusion 105: 102221 (2024) - [j250]Alireza Hosseinnajad, Navid Mohajer, Saeid Nahavandi:
Barrier Lyapunov Function-based Backstepping Controller Design for Path Tracking of Autonomous Vehicles. J. Intell. Robotic Syst. 110(3): 118 (2024) - [j249]Subhash Chand Yogi, Laxmidhar Behera, Saeid Nahavandi:
Adaptive Intelligent Minimum Parameter Singularity Free Sliding Mode Controller Design for Quadrotor. IEEE Trans Autom. Sci. Eng. 21(2): 1805-1823 (2024) - [j248]Mohammad Reza Chalak Qazani, Behrooz Shirani Bidabadi, Houshyar Asadi, Saeid Nahavandi, Farnoosh Shirani Bidabadi:
Multiobjective Optimization of Roll-Forming Procedure Using NSGA-II and Type-2 Fuzzy Neural Network. IEEE Trans Autom. Sci. Eng. 21(3): 3842-3851 (2024) - [j247]Mohammad Reza Chalak Qazani, Houshyar Asadi, Muhammad Zakarya, Chee Peng Lim, Alan Wee-Chung Liew, Mansour A. Karkoub, Saeid Nahavandi:
A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios. IEEE Trans. Intell. Transp. Syst. 25(6): 5112-5121 (2024) - [j246]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi, Miadreza Shafie-Khah, João P. S. Catalão:
An Optimized Uncertainty-Aware Training Framework for Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6928-6935 (2024) - [j245]Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann, Andreas Seefried, Shady M. K. Mohamed, Saeid Nahavandi:
A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation. IEEE Trans. Veh. Technol. 73(7): 9696-9705 (2024) - [j244]Lars Kooijman, Houshyar Asadi, Camilo Gonzalez Arango, Shady M. K. Mohamed, Saeid Nahavandi:
Investigating the influence of neck muscle vibration on illusory self-motion in virtual reality. Virtual Real. 28(2): 76 (2024) - [c406]Wadhah Al-Ashwal, Houshyar Asadi, Shehab Alsanwy, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
Objective Assessment of Cybersickness in a Stationary Helicopter Simulator Using Pupil Diameter as a Quantitative Indicator. SysCon 2024: 1-7 - [c405]Wadhah Al-Ashwal, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi, Bernhard E. Riecke:
Galvanic Skin Response and AE-LSTM for Anomaly Detection in VR-Induced Motion Sickness. SysCon 2024: 1-7 - [c404]Shehab Alsanwy, Mohammad Reza Chalak Qazani, Wadhah Al-Ashwal, Arian Shajari, Saeid Nahavandi, Houshyar Asadi:
Vehicle Trajectory Prediction Using Deep Learning for Advanced Driver Assistance Systems and Autonomous Vehicles. SysCon 2024: 1-8 - [c403]Arian Shajari, Houshyar Asadi, Shehab Alsanwy, Saeid Nahavandi, Chee Peng Lim:
Application of a BiLSTM Model for Detecting Driver Distraction Caused by Hand-Held Mobile Phones, Utilizing Physiological Signals and Head Motion Data. SysCon 2024: 1-8 - [i58]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Asim Bhatti, Saeid Nahavandi, Chee Peng Lim:
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis. CoRR abs/2407.15901 (2024) - [i57]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Saeid Nahavandi, Chee Peng Lim:
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model. CoRR abs/2408.06350 (2024) - 2023
- [j243]Ngoc Duy Nguyen, Thanh Nguyen, Nhat Truong Pham, Hai Nguyen, Dang Tu Nguyen, Thanh Thi Nguyen, Chee Peng Lim, Michael Johnstone, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
Towards designing a generic and comprehensive deep reinforcement learning framework. Appl. Intell. 53(3): 2967-2988 (2023) - [j242]Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya:
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158: 106841 (2023) - [j241]Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi:
Uncertainty-aware credit card fraud detection using deep learning. Eng. Appl. Artif. Intell. 123(Part A): 106248 (2023) - [j240]Hossein Mehnatkesh, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
An intelligent driven deep residual learning framework for brain tumor classification using MRI images. Expert Syst. Appl. 213(Part): 119087 (2023) - [j239]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Inf. Fusion 90: 364-381 (2023) - [j238]Moloud Abdar, Arash Mehrzadi, Milad Goudarzi, Farzad Masoudkabir, Leonardo Rundo, Mohammad Mamouei, Evis Sala, Abbas Khosravi, Vladimir Makarenkov, U. Rajendra Acharya, Seyedmohammad Saadatagah, Mohammadreza Naderian, Salvador García, Nizal Sarrafzadegan, Saeid Nahavandi:
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. Inf. Fusion 97: 101813 (2023) - [j237]Li Zhang, Sam Slade, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi, Haoqian Huang, Hang Ruan:
Semantic segmentation using Firefly Algorithm-based evolving ensemble deep neural networks. Knowl. Based Syst. 277: 110828 (2023) - [j236]Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 4(1) (2023) - [j235]Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino:
Swarm Intelligence in Internet of Medical Things: A Review. Sensors 23(3): 1466 (2023) - [j234]Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. 4(5): 1165-1177 (2023) - [j233]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction. IEEE Trans. Cogn. Dev. Syst. 15(3): 1102-1122 (2023) - [j232]Dinh Cong Huong, Saeid Nahavandi, Hieu Trinh:
Event-Triggered State and Disturbance Estimation for Lipschitz Nonlinear Systems With Unknown Time-Varying Delays. IEEE Trans. Cybern. 53(12): 7895-7905 (2023) - [j231]Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi:
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19(1): 274-285 (2023) - [j230]Mohammad Reza Chalak Qazani, Houshyar Asadi, Yutao Chen, Moloud Abdar, Mansour A. Karkoub, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction. IEEE Trans. Intell. Transp. Syst. 24(9): 9191-9202 (2023) - [j229]Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators. IEEE Trans. Intell. Veh. 8(1): 390-403 (2023) - [j228]Anuj Nandanwar, Narendra Kumar Dhar, Laxmidhar Behera, Saeid Nahavandi, Rajesh Sinha:
A Discrete-Time Event-Driven Near-Optimal Second-Order SMC for Multirobotic System Formation Prone to Network Uncertainties. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6354-6367 (2023) - [j227]Houshyar Asadi, Tobias Bellmann, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Novel Decoupled Model Predictive Control-Based Motion Cueing Algorithm for Driving Simulators. IEEE Trans. Veh. Technol. 72(6): 7024-7034 (2023) - [c402]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. DIS 2023: 1-19 - [c401]Archit Krishna Kamath, Tanmoy Dam, Heera Lal Maurya, Padmini Singh, Ranjith Ravindranathan Nair, Saeid Nahavandi:
Modelling and Sliding Mode Control of a Stereo Vision Augmented 6 DoF Quadrotor System. ICAR 2023: 425-430 - [c400]Ghazal Rahimzadeh, Darius Nahavandi, Shady M. K. Mohamed, Pawel Plawiak, Saeid Nahavandi, Houshyar Asadi:
Artificial Intelligence-based Motion Sickness Detection: A Survey. ICECS 2023: 1-8 - [c399]Mehshan Ahmed Khan, Houshyar Asadi, Thuong N. Hoang, Chee Peng Lim, Saeid Nahavandi:
Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels. ICONIP (9) 2023: 313-325 - [c398]Mehedi Hasan, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Controlled Dropout for Uncertainty Estimation. SMC 2023: 973-980 - [c397]Sudarshan Mark Samarasinghe, Ahmad Abu Alqumsan, Adetokunbo Arogbonlo, Mohammad Rokonuzzaman, Saeid Nahavandi:
Robust Cooperative Control of a Team of UAVs Carrying a Slung Payload. SMC 2023: 1780-1785 - [c396]Arian Shajari, Houshyar Asadi, Shehab Alsanwy, Saeid Nahavandi:
Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model. SMC 2023: 2093-2099 - [c395]Parham M. Kebria, Saeid Nahavandi, Peter Enticott, Fernando Bello:
Haptically-Enabled Robotic Teleoperation for Transcranial Magnetic Stimulation (TeleTMS). SMC 2023: 2100-2105 - [c394]Shehab Alsanwy, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
A CNN-LSTM Based Model to Predict Trajectory of Human-Driven Vehicle. SMC 2023: 3097-3103 - [c393]Mohammad Hedayati, Navid Mohajer, Mohammad Rokonuzzaman, Saeid Nahavandi:
Robust $H_{\infty}$ Estimation of Sideslip Angle of Vehicles with Fading Measurements. SMC 2023: 3440-3445 - [c392]Mohammad Reza Chalak Qazani, Houshyar Asadi, Arian Shajari, Zoran Najdovski, Chee Peng Lim, Saeid Nahavandi:
A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles. SMC 2023: 3480-3486 - [c391]Aptin Babaei, Parham M. Kebria, Mohsen Moradi Dalvand, Saeid Nahavandi:
A CNN-Based Deep Learning Approach in Anomaly-Based Intrusion Detection Systems. SMC 2023: 3627-3632 - [c390]Afsana Ahmed Munia, Ibrahim Hossain, Seyed Mohammad Jalali, Pegah Tabarisaadi, Ashikur Rahman, Saeid Nahavandi:
Uncertainty-Aware Deep Learning for Segmenting Ultrasound Images of Breast Tumours. SMC 2023: 4228-4235 - [i56]Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A Brief Review of Explainable Artificial Intelligence in Healthcare. CoRR abs/2304.01543 (2023) - [i55]Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR abs/2304.04906 (2023) - [i54]Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann, Andreas Seefried, Shady M. K. Mohamed, Saeid Nahavandi:
A novel approach of a deep reinforcement learning based motion cueing algorithm for vehicle driving simulation. CoRR abs/2304.07600 (2023) - [i53]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shadi Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR abs/2304.14925 (2023) - [i52]Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges. CoRR abs/2309.02473 (2023) - [i51]Haoxu Zhang, Parham M. Kebria, Shadi Mohamed, Samson Shenglong Yu, Saeid Nahavandi:
A Review on Robot Manipulation Methods in Human-Robot Interactions. CoRR abs/2309.04687 (2023) - [i50]Aptin Babaei, Parham M. Kebria, Mohsen Moradi Dalvand, Saeid Nahavandi:
A Review of Machine Learning-based Security in Cloud Computing. CoRR abs/2309.04911 (2023) - [i49]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine Learning Meets Advanced Robotic Manipulation. CoRR abs/2309.12560 (2023) - 2022
- [j226]Saeid Nahavandi, Shady M. K. Mohamed, Ibrahim Hossain, Darius Nahavandi, Syed Moshfeq Salaken, Mohammad Rokonuzzaman, Rachael Ayoub, Robin Smith:
Autonomous Convoying: A Survey on Current Research and Development. IEEE Access 10: 13663-13683 (2022) - [j225]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
General Forward Kinematics for Tendon-Driven Continuum Robots. IEEE Access 10: 60330-60340 (2022) - [j224]Hussain Mohammed Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U. Rajendra Acharya:
Aleatory-aware deep uncertainty quantification for transfer learning. Comput. Biol. Medicine 143: 105246 (2022) - [j223]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Uncertainty-aware skin cancer detection: The element of doubt. Comput. Biol. Medicine 144: 105357 (2022) - [j222]Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya:
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 146: 105554 (2022) - [j221]Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 149: 106053 (2022) - [j220]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Subrota Kumar Mondal, Mustaneer Rahman, Saeid Nahavandi, Rajkumar Buyya:
Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions. ACM Comput. Surv. 54(4): 74:1-74:30 (2022) - [j219]Thanh Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, Thien Huynh-The, Saeid Nahavandi, Thanh Tam Nguyen, Quoc-Viet Pham, Cuong M. Nguyen:
Deep learning for deepfakes creation and detection: A survey. Comput. Vis. Image Underst. 223: 103525 (2022) - [j218]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An optimal washout filter for motion platform using neural network and fuzzy logic. Eng. Appl. Artif. Intell. 108: 104564 (2022) - [j217]Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya:
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j216]Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Rachid Hedjam, Abbas Khosravi, Saeid Nahavandi:
X-ray image based COVID-19 detection using evolutionary deep learning approach. Expert Syst. Appl. 201: 116942 (2022) - [j215]Marwan Qaid Mohammed, Kwek Lee Chung, Shing Chyi Chua, Arafat Al-Dhaqm, Saeid Nahavandi, Taiseer Abdalla Elfadil Eisa, Muhammad Fahmi Miskon, Mohammed Nasser Al-Mhiqani, Abdulalem Ali, Mohammed Abaker, Esmail Ali Alandoli:
Review of Learning-Based Robotic Manipulation in Cluttered Environments. Sensors 22(20): 7938 (2022) - [j214]Vibhu Kumar Tripathi, Subhash Chand Yogi, Archit Krishna Kamath, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
A Disturbance Observer-Based Intelligent Finite-Time Sliding Mode Flight Controller Design for an Autonomous Quadrotor. IEEE Syst. J. 16(1): 1649-1660 (2022) - [j213]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mehrdad Rostami, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring. IEEE Syst. J. 16(2): 1945-1953 (2022) - [j212]Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi:
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. 69(2): 818-829 (2022) - [j211]Padmini Singh, Anuj Nandanwar, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
Uncertainty Compensator and Fault Estimator-Based Exponential Supertwisting Sliding-Mode Controller for a Mobile Robot. IEEE Trans. Cybern. 52(11): 11963-11976 (2022) - [j210]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform. IEEE Trans. Intell. Transp. Syst. 23(8): 11767-11778 (2022) - [j209]Marwa Ahmed, Ahmed Abobakr, Chee Peng Lim, Saeid Nahavandi:
Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning. IEEE Trans. Intell. Transp. Syst. 23(8): 12562-12571 (2022) - [j208]Mohammad Reza Chalak Qazani, Houshyar Asadi, Li Zhang, Farzin Tabarsinezhad, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network. IEEE Trans. Intell. Transp. Syst. 23(12): 23268-23277 (2022) - [j207]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
An Optimal Motion Cueing Algorithm Using the Inverse Kinematic Solution of the Hexapod Simulation Platform. IEEE Trans. Intell. Veh. 7(1): 73-82 (2022) - [j206]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi:
Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 54-65 (2022) - [j205]Vibhu Kumar Tripathi, Archit Krishna Kamath, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
An Adaptive Fast Terminal Sliding-Mode Controller With Power Rate Proportional Reaching Law for Quadrotor Position and Altitude Tracking. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3612-3625 (2022) - [j204]M. Syed Ali, Govindasamy Narayanan, Saeid Nahavandi, Jin-Liang Wang, Jinde Cao:
Global Dissipativity Analysis and Stability Analysis for Fractional-Order Quaternion-Valued Neural Networks With Time Delays. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4046-4056 (2022) - [j203]Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi:
Human-Tailored Data-Driven Control System of Autonomous Vehicles. IEEE Trans. Veh. Technol. 71(3): 2485-2500 (2022) - [c389]Aptin Babaei, Parham M. Kebria, Saeid Nahavandi:
A survey on Automation Technologies used in Network Control and Management. HSI 2022: 1-6 - [c388]Aptin Babaei, Parham M. Kebria, Saeid Nahavandi:
5G for Low-latency Human-Robot Collaborations; Challenges and Solutions. HSI 2022: 1-5 - [c387]Lars Kooijman, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
A Virtual Reality Study Investigating the Effect of Cybersickness on the Relationship Between Vection and Presence Across Environments with Varying Levels of Ecological Relevance. HSI 2022: 1-8 - [c386]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. HSI 2022: 1-6 - [c385]Archit Krishna Kamath, Subhash Chand Yogi, Laxmidhar Behera, Ranjith Ravindranathan Nair, Saeid Nahavandi:
Back-stepping Nonlinear Integral Sliding Mode Control of a Vision Augmented 3 DoF Quadrotor in the presence of System Uncertainties and Bounded Disturbances. ICCA 2022: 541-546 - [c384]Shehab Alsanwy, Houshyar Asadi, Mohammad Reza Chalak Qazani, Mohammed Al-Ashmori, Shady M. K. Mohamed, Darius Nahavandi, Ahmad Abu Alqumsan, Sari Al-Serri, Seyed Mohammad Jalali, Saeid Nahavandi:
Prediction of Vehicle Motion Signals for Motion Simulators Using Long Short-Term Memory Networks. SMC 2022: 34-39 - [c383]Camilo Gonzalez Arango, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
Automatic Tuning of Adaptive Gradient Descent Based Motion Cueing Algorithm Using Particle Swarm Optimisation. SMC 2022: 85-92 - [c382]Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Sadia Khanam, Adetokunbo Arogbonlo, Darius Nahavandi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Optimal MPC Horizons Tunning of Nonlinear MPC for Autonomous Vehicles Using Particle Swarm Optimisation. SMC 2022: 635-641 - [c381]Lars Kooijman, Saeid Nahavandi, Houshyar Asadi, Shady M. K. Mohamed:
Does A Secondary Task Inhibit Vection in Virtual Reality? SMC 2022: 1057-1064 - [c380]Lars Kooijman, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
Does the Vividness of Imagination Influence Illusory Self-Motion in Virtual Reality? SMC 2022: 1065-1071 - [c379]Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Chee Peng Lim, Adetokunbo Arogbonlo, Shehab Alsanwy, Shadi Mohamed, Mehrdad Rostami, Saeid Nahavandi:
A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN. SMC 2022: 1592-1599 - [c378]Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. SMC 2022: 2237-2243 - [c377]Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi:
A Home for Principal Component Analysis (PCA) as part of a Multi-Agent Safety System (MASS) for Human-Robot Collaboration (HRC) within the Industry 5.0 Enterprise Architecture (EA). SMC 2022: 2569-2574 - [c376]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mansour A. Karkoub, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles. SMC 2022: 2620-2626 - [c375]Mohammad Reza Chalak Qazani, Mansour A. Karkoub, Houshyar Asadi, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Multi-objective NSGA-II for Weight Tuning of a Nonlinear Model Predictive Controller in Autonomous Vehicles. SMC 2022: 2820-2826 - [c374]Navid Mohajer, Asher Winter, Timothy Mark Gregory, Darius Nahavandi, Matthew Watson, Saeid Nahavandi:
Experimental Validation of a High-G Centrifuge System using an Advanced Wireless Human Dummy. SMC 2022: 2827-2832 - [c373]Sari Al-Serri, Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Adetokunbo Arogbonlo, Ahmad Abu Alqumsan, Shehab Alsanwy, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Implementation of the Grasshopper Optimisation Algorithm to Optimize Prediction and Control Horizons in Model Predictive Control-based Motion Cueing Algorithm. SMC 2022: 3317-3323 - [c372]Hailing Zhou, Erika Varis Doggett, Keyu Qi, Binghao Tang, Anna M. C. Wolak, Saeid Nahavandi, David T. Nguyen:
Image Saliency Prediction in Novel Production Scenarios. SMC 2022: 3367-3372 - [i48]Mehedi Hasan, Abbas Khosravi, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Controlled Dropout for Uncertainty Estimation. CoRR abs/2205.03109 (2022) - [i47]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. CoRR abs/2206.04480 (2022) - [i46]Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. CoRR abs/2209.09556 (2022) - [i45]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Shady M. K. Mohamed, Navid Mohajer, Mohammad Rokonuzzaman, Ibrahim Hossain:
A Comprehensive Review on Autonomous Navigation. CoRR abs/2212.12808 (2022) - 2021
- [j202]Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi, Shady M. K. Mohamed:
Model Predictive Control With Learned Vehicle Dynamics for Autonomous Vehicle Path Tracking. IEEE Access 9: 128233-128249 (2021) - [j201]