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2020 – today
- 2023
[j232]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)- [j231]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) - [j230]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) - [j229]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) - [j228]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) - [j227]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) - [j226]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - 2022
- [j225]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) - [j224]Mohsen Moradi Dalvand, Saeid Nahavandi, Robert D. Howe:
General Forward Kinematics for Tendon-Driven Continuum Robots. IEEE Access 10: 60330-60340 (2022) - [j223]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) - [j222]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Uncertainty-aware skin cancer detection: The element of doubt. Comput. Biol. Medicine 144: 105357 (2022) - [j221]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) - [j220]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) - [j219]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) - [j218]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) - [j217]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) - [j216]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) - [j215]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) - [j214]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) - [j213]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) - [j212]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) - [j211]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) - [j210]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) - [j209]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) - [j208]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) - [j207]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) - [j206]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) - [j205]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) - [j204]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) - [j203]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) - [j202]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, Mohammed Reza Chalack 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, Hm Dipu Kabir, Abadhan S. 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 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 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
- [j201]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) - [j200]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan:
Optimal uncertainty-guided neural network training. Appl. Soft Comput. 99: 106878 (2021) - [j199]Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Abbas Khosravi, Mamoun Alazab, Saeid Nahavandi:
An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis. Appl. Soft Comput. 111: 107675 (2021) - [j198]Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68: 102622 (2021) - [j197]Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, Moloud Abdar, Nizal Sarrafzadegan, Davood Shafie, Fahime Khozeimeh, Afshin Shoeibi, Saeid Nahavandi, Maryam Panahiazar, Andrew Bishara, Ramin E. Beygui, Rishi Puri, Samir Kapadia, Ru San Tan, U. Rajendra Acharya:
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine 128: 104095 (2021) - [j196]Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine 135: 104418 (2021) - [j195]Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya:
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Comput. Biol. Medicine 136: 104697 (2021) - [j194]Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, Navid Ghaasemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk:
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Comput. Biol. Medicine 139: 104949 (2021) - [j193]Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Syed Mohammed Shamsul Islam, Abbas Khosravi, Ebrahim Fazli, Saeid Nahavandi:
A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19). Comput. Biol. Medicine 139: 104994 (2021) - [j192]Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini-Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi:
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. Expert Syst. Appl. 163: 113788 (2021) - [j191]Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. Frontiers Neuroinformatics 15: 777977 (2021) - [j190]Khaled Saleh, Ahmed Abobakr, Mohammed Hossny, Darius Nahavandi, Julie Iskander, Mohammed Hassan Attia, Saeid Nahavandi:
Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks. Neurocomputing 465: 205-214 (2021) - [j189]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 76: 243-297 (2021) - [j188]Mohamed Hammad, Kandala N. V. P. S. Rajesh, Amira Abdelatey, Moloud Abdar, Mariam Zomorodi Moghadam, Ru San Tan, U. Rajendra Acharya, Joanna Plawiak, Ryszard Tadeusiewicz, Vladimir Makarenkov, Nizal Sarrafzadegan, Abbas Khosravi, Saeid Nahavandi, Ahmed A. Abd El-Latif, Pawel Plawiak:
Automated detection of shockable ECG signals: A review. Inf. Sci. 571: 580-604 (2021) - [j187]Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti, Abbas Khosravi, Pawel Plawiak, U. Rajendra Acharya, Ryszard Tadeusiewicz, Saeid Nahavandi:
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Inf. Sci. 577: 353-378 (2021) - [j186]Navid Mohajer, Saeid Nahavandi, Hamid Abdi, Zoran Najdovski:
Enhancing Passenger Comfort in Autonomous Vehicles Through Vehicle Handling Analysis and Optimization. IEEE Intell. Transp. Syst. Mag. 13(3): 156-173 (2021) - [j185]Mohamad Beheshti Roui, Mariam Zomorodi, Masoomeh Sarvelayati, Moloud Abdar, Hamid Noori, Pawel Plawiak, Ryszard Tadeusiewicz, Xujuan Zhou, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Knowl. Based Syst. 231: 107419 (2021) - [j184]Ngoc Duy Nguyen, Thanh Thi Nguyen, Peter Vamplew, Richard Dazeley, Saeid Nahavandi:
A Prioritized objective actor-critic method for deep reinforcement learning. Neural Comput. Appl. 33(16): 10335-10349 (2021) - [j183]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Stable Neural Adaptive Filters for Teleoperations With Uncertain Delays. IEEE Robotics Autom. Lett. 6(4): 8663-8670 (2021) - [j182]Ali Akbar Kekha Javan, Afshin Shoeibi, Assef Zare, Navid Hosseini Izadi, Mahboobeh Jafari, Roohallah Alizadehsani, Parisa Moridian, Amir Mosavi, U. Rajendra Acharya, Saeid Nahavandi:
Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication. Sensors 21(1): 254 (2021) - [j181]Mohammad Reza Chalak Qazani, Houshyar Asadi, Saeid Nahavandi:
A Motion Cueing Algorithm Based on Model Predictive Control Using Terminal Conditions in Urban Driving Scenario. IEEE Syst. J. 15(1): 445-453 (2021) - [j180]Padmini Singh, Pooja Agrawal, Anuj Nandanwar, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi, Mo M. Jamshidi:
Multivariable Event-Triggered Generalized Super-Twisting Controller for Safe Navigation of Nonholonomic Mobile Robot. IEEE Syst. J. 15(1): 454-465 (2021) - [j179]Samson Shenglong Yu, Xinqi Fan, Tat Kei Chau, Hieu Trinh, Saeid Nahavandi:
Square-Root Sigma-Point Filtering Approach to State Estimation for Wind Turbine Generators in Interconnected Energy Systems. IEEE Syst. J. 15(2): 1557-1566 (2021) - [j178]Padmini Singh, Sandeep Gupta, Laxmidhar Behera, Nishchal K. Verma, Saeid Nahavandi:
Perching of Nano-Quadrotor Using Self-Trigger Finite-Time Second-Order Continuous Control. IEEE Syst. J. 15(4): 4989-4999 (2021) - [j177]Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi:
Prediction of Motion Simulator Signals Using Time-Series Neural Networks. IEEE Trans. Aerosp. Electron. Syst. 57(5): 3383-3392 (2021) - [j176]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Abdollah Kavousi-Fard:
Partial Adversarial Training for Neural Network-Based Uncertainty Quantification. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 595-606 (2021) - [j175]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan:
Neural Network Training for Uncertainty Quantification Over Time-Range. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 768-779 (2021) - [j174]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Miadreza Shafie-khah, Saeid Nahavandi, João P. S. Catalão:
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting. IEEE Trans. Ind. Informatics 17(12): 8243-8253 (2021) - [j173]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1408-1417 (2021) - [j172]Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021) - [j171]Samrat Dutta, Laxmidhar Behera, Saeid Nahavandi:
Skill Learning From Human Demonstrations Using Dynamical Regressive Models for Multitask Applications. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 659-672 (2021) - [j170]Mohammad Reza Chalak Qazani, Houshyar Asadi, Suiyang Khoo, Saeid Nahavandi:
A Linear Time-Varying Model Predictive Control-Based Motion Cueing Algorithm for Hexapod Simulation-Based Motion Platform. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6096-6110 (2021) - [c371]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Time Series Prediction of Driving Motion Scenarios Using Fuzzy Neural Networks: * Motion Signal Prediction Using FNNs. ICM 2021: 1-6 - [c370]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Md Shihanur Rahman, Mohammad Anwar Hosen, Saeid Nahavandi:
Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid. IJCNN 2021: 1-8 - [c369]Marwa Ahmed, Chee Peng Lim, Saeid Nahavandi:
A Deep Q-Network Reinforcement Learning-Based Model for Autonomous Driving. SMC 2021: 739-744 - [c368]Justin Stark, Chee Peng Lim, Saeid Nahavandi:
Design Considerations within Cloud Based System-of-Systems Architecture Framework. SMC 2021: 807-812 - [c367]Mohammad Reza Chalak Qazani, Houshyar Asadi, Adetokunbo Arogbonlo, Ghazal Rahimzadeh, Shady M. K. Mohamed, Siamak Pedrammehr, Chee Peng Lim, Saeid Nahavandi:
Whale Optimization Algorithm for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. SMC 2021: 1042-1048 - [c366]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, Joseph Winter, Keith Rosario:
A Real-Time Motion Control Tracking Mechanism for Satellite Tracking Antenna Using Serial Robot. SMC 2021: 1049-1055 - [c365]Luke Briese, Timothy Mark Gregory, Navid Mohajer, Matthew Watson, Shady M. K. Mohamed, Saeid Nahavandi:
Evaluation of Design Optimisation Techniques in Structural Framing. SMC 2021: 1093-1098 - [c364]Shehab Alsanwy, Houshyar Asadi, Ahmad Abu Alqumsan, Shady M. K. Mohamed, Darius Nahavandi, Saeid Nahavandi:
The Effects of Different Body Positions on Human Physiological Responses Using Universal Motion Simulator. SMC 2021: 1209-1214 - [c363]Mohammad Rokonuzzaman, Navid Mohajer, Shady M. K. Mohamed, Saeid Nahavandi:
A Customisable Longitudinal Controller of Autonomous Vehicle using Data-driven MPC. SMC 2021: 1367-1373 - [c362]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Ahmad Abu Alqumsan, Ghazal Rahimzadeh, Chee Peng Lim, Saeid Nahavandi:
An MPC-based Motion Cueing Algorithm Using Washout Speed and Grey Wolf Optimizer. SMC 2021: 1627-1633 - [c361]