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ORCIDSyed Moshfeq Salaken
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Journal Articles
- 2022
[j8]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)- 2020
- [j7]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Saeid Nahavandi:
Deep imitation learning for autonomous vehicles based on convolutional neural networks. IEEE CAA J. Autom. Sinica 7(1): 82-95 (2020) - [j6]Abel Hailemichael, Syed Moshfeq Salaken, Ali Karimoddini, Abdollah Homaifar, Abbas Khosravi, Saeid Nahavandi:
Developing a computationally effective Interval Type-2 TSK Fuzzy Logic Controller. J. Intell. Fuzzy Syst. 38(2): 1915-1928 (2020) - 2019
- [j5]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Seeded transfer learning for regression problems with deep learning. Expert Syst. Appl. 115: 565-577 (2019) - 2017
- [j4]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Output uncertainty score for decision making processes using interval type-2 fuzzy systems. Eng. Appl. Artif. Intell. 65: 159-167 (2017) - [j3]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Extreme learning machine based transfer learning algorithms: A survey. Neurocomputing 267: 516-524 (2017) - 2016
- [j2]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi:
Modification on enhanced Karnik-Mendel algorithm. Expert Syst. Appl. 65: 283-291 (2016) - 2015
- [j1]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Approximation of centroid end-points and switch points for replacing type reduction algorithms. Int. J. Approx. Reason. 66: 39-52 (2015)
Conference and Workshop Papers
- 2020
- [c20]Parham M. Kebria, Abbas Khosravi, Ibrahim Hossain, Navid Mohajer, Hussain Mohammed Dipu Kabir, Seyed Mohammad Jafar Jalali, Darius Nahavandi, Syed Moshfeq Salaken, Saeid Nahavandi, Aurelien Lagrandcourt, Navneet Bhasin:
Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study. SMC 2020: 2907-2912 - [c19]Navid Mohajer, Mohammad Rokonuzzaman, Darius Nahavandi, Syed Moshfeq Salaken, Zoran Najdovski, Saeid Nahavandi:
Effects of Road Path Profiles on Autonomous Vehicles' Handling Behaviour. SysCon 2020: 1-6 - 2019
- [c18]Syed Moshfeq Salaken, Saeid Nahavandi, Conor McGinn, Mohammed Hossny, Kevin Kelly, Ahmed Abobakr, Darius Nahavandi, Julie Iskander:
Development of a Cloud-based Computational Framework for an Empathetic Robot. ICCAE 2019: 102-108 - [c17]Seyed Mohammad Jafar Jalali, Abbas Khosravi, Roohallah Alizadehsani, Syed Moshfeq Salaken, Parham Mohsenzadeh Kebria, Rishi Puri, Saeid Nahavandi:
Parsimonious Evolutionary-based Model Development for Detecting Artery Disease. ICIT 2019: 800-805 - [c16]Parham M. Kebria, Roohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward W. Tunstel, Mehrdad Saif:
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT 2019: 865-870 - 2018
- [c15]Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi, Syed Moshfeq Salaken, Amin Khatami:
A Soft Computing Fusion for River Flow Time Series Forecasting. FUZZ-IEEE 2018: 1-7 - [c14]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi:
Deep Imitation Learning: The Impact of Depth on Policy Performance. ICONIP (1) 2018: 172-181 - [c13]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Semi-Supervised Transfer Learning with Genetic Algorithm Tuned Transformation and Novel Label Transfer Mechanism. SMC 2018: 906-911 - [c12]Khaled Saleh, Mohammed Hassan Attia, Mohammed Hossny, Samer Hanoun, Syed Moshfeq Salaken, Saeid Nahavandi:
Local Motion Planning for Ground Mobile Robots via Deep Imitation Learning. SMC 2018: 4077-4082 - 2017
- [c11]Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Syed Moshfeq Salaken, Saeid Nahavandi:
A deep-structural medical image classification for a Radon-based image retrieval. CCECE 2017: 1-4 - [c10]Syed Moshfeq Salaken, Abbas Khosravi, Amin Khatami, Saeid Nahavandi, Mohammad Anwar Hosen:
Lung cancer classification using deep learned features on low population dataset. CCECE 2017: 1-5 - [c9]Thanh Nguyen, Imali Hettiarachchi, Abbas Khosravi, Syed Moshfeq Salaken, Asim Bhatti, Saeid Nahavandi:
Multiclass EEG data classification using fuzzy systems. FUZZ-IEEE 2017: 1-6 - [c8]Zihao Wang, Saina Ramyar, Syed Moshfeq Salaken, Abdollah Homaifar, Saeid Nahavandi, Ali Karimoddini:
A collision avoidance system with fuzzy danger level detection. Intelligent Vehicles Symposium 2017: 283-288 - [c7]Saina Ramyar, Abdollah Homaifar, Syed Moshfeq Salaken, Saeid Nahavandi, Arda Kurt:
A personalized highway driving assistance system. Intelligent Vehicles Symposium 2017: 1596-1601 - 2015
- [c6]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Effect of different initializations on EKM algorithm. FUZZ-IEEE 2015: 1-6 - [c5]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Linear approximation of Karnik-Mendel type reduction algorithm. FUZZ-IEEE 2015: 1-6 - [c4]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Switch point finding using polynomial regression for fuzzy type reduction algorithms. FUZZ-IEEE 2015: 1-6 - [c3]Mohammad Anwar Hosen, Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes. ICONIP (3) 2015: 206-213 - [c2]Syed Moshfeq Salaken, Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi:
Forecasting Bike Sharing Demand Using Fuzzy Inference Mechanism. ICONIP (3) 2015: 567-574 - [c1]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Syed Moshfeq Salaken:
Prediction interval-based neural network controller for nonlinear processes. IJCNN 2015: 1-6
Coauthor Index
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