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2020 – today
- 2024
[j43]Ali Jamali
, Swalpa Kumar Roy, Leila Hashemi Beni, Biswajeet Pradhan, Jonathan Li, Pedram Ghamisi:
Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery. Int. J. Appl. Earth Obs. Geoinformation 127: 103662 (2024)- [j42]Zahra Mehraban, Ashkan Y. Zadeh, Hamid Khayyam, Rammohan Mallipeddi, Ali Jamali:
Fuzzy adaptive cruise control with model predictive control responding to dynamic traffic conditions for automated driving. Eng. Appl. Artif. Intell. 136: 109008 (2024) - [j41]Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Peter M. Atkinson, Pedram Ghamisi:
Spatial-Gated Multilayer Perceptron for Land Use and Land Cover Mapping. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j40]Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Peter M. Atkinson, Pedram Ghamisi:
Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j39]Ali Jamali, Swalpa Kumar Roy, Jonathan Li, Pedram Ghamisi:
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j38]Bahman Ahmadi, Ali Jamali, Rammohan Mallipeddi, Nader Nariman-Zadeh, Behzad Ahmadi, Hamid Khayyam:
Bi-level game theoretic approach for robust design: A case study of path-generating four-bar. Swarm Evol. Comput. 89: 101636 (2024) - [j37]Nafiseh Kakhani, Moien Rangzan, Ali Jamali, Sara Attarchi, Seyed Kazem Alavipanah, Michael Mommert, Nikolaos Tziolas, Thomas Scholten:
SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j36]Swalpa Kumar Roy, Atri Sukul, Ali Jamali, Juan Mario Haut, Pedram Ghamisi:
Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [c3]Ali Jamali, Swalpa Kumar Roy, Bing Lu, Avik Bhattacharya, Pedram Ghamisi:
PolSARConvMixer: A Channel and Spatial Mixing Convolutional Algorithm for PolSAR Data Classification. IGARSS 2024: 11248-11251 - [i5]Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Bing Lu, Pedram Ghamisi:
How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification. CoRR abs/2406.15719 (2024) - [i4]Ali Jamali, Azadeh Nazemi, Ashkan Sami, Rosemina Bahrololoom, Shahram Paydar, Alireza Shakibafar:
Decision Support System to triage of liver trauma. CoRR abs/2408.02012 (2024) - 2023
- [j35]Ali Jamali, Swalpa Kumar Roy, Jonathan Li, Pedram Ghamisi:
TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping. Int. J. Appl. Earth Obs. Geoinformation 120: 103332 (2023) - [j34]Ali Jamali, Swalpa Kumar Roy, Pedram Ghamisi:
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping. Int. J. Appl. Earth Obs. Geoinformation 120: 103333 (2023) - [j33]Arman Javadian, Nader Nariman-Zadeh, Ali Jamali:
Evolutionary design of marginally robust multivariable PID controller. Eng. Appl. Artif. Intell. 121: 105938 (2023) - [j32]Hamid Khayyam, Naeim Akbari Shahkhosravi, Ali Jamali, Minoo Naebe, Rahele Kafieh, Abbas S. Milani:
GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data. Expert Syst. Appl. 216: 119425 (2023) - [j31]Nasim Ensansefat, Ali Chaibakhsh, Ali Jamali:
Enhancing disturbance rejection performance for a class of networked cascade control systems: an H∞ approach. Int. J. Control 96(1): 223-237 (2023) - [j30]Ali Jamali, Swalpa Kumar Roy, Avik Bhattacharya, Pedram Ghamisi:
Local Window Attention Transformer for Polarimetric SAR Image Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j29]Adel Mohammadi, Nader Nariman-Zadeh, Meghdad Payan, Ali Jamali:
Evaluation of the absolute forms of cost functions in optimization using a novel evolutionary algorithm. Soft Comput. 27(22): 16843-16879 (2023) - [i3]Ali Jamali, Swalpa Kumar Roy, Jonathan Li, Pedram Ghamisi:
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction. CoRR abs/2306.04947 (2023) - [i2]Nafiseh Kakhani, Moien Rangzan, Ali Jamali, Sara Attarchi, Seyed Kazem Alavipanah, Thomas Scholten:
SoilNet: An Attention-based Spatio-temporal Deep Learning Framework for Soil Organic Carbon Prediction with Digital Soil Mapping in Europe. CoRR abs/2308.03586 (2023) - [i1]Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Peter M. Atkinson, Pedram Ghamisi:
Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping. CoRR abs/2308.05235 (2023) - 2022
- [j28]Ali Jamali, Masoud MahdianPari, Fariba Mohammadimanesh, Saeid Homayouni:
A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples. Int. J. Appl. Earth Obs. Geoinformation 115: 103095 (2022) - [j27]Ali Jamali, Masoud MahdianPari, Brian Brisco, Dehua Mao, Bahram Salehi, Fariba Mohammadimanesh:
3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer. Ecol. Informatics 72: 101904 (2022) - [j26]Ali Jamali, Masoud MahdianPari, Fariba Mohammadimanesh, Avik Bhattacharya, Saeid Homayouni:
PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j25]Mir Masoud Ale Ali, Ali Jamali, Amirhossein Asgharnia, R. Ansari, Rammohan Mallipeddi:
Multi-objective Lyapunov-based controller design for nonlinear systems via genetic programming. Neural Comput. Appl. 34(2): 1345-1357 (2022) - [j24]Ali Jamali, Masoud MahdianPari:
Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data. Remote. Sens. 14(2): 359 (2022) - [j23]Ali Jamali, Masoud MahdianPari, Fariba Mohammadimanesh, Brian Brisco, Bahram Salehi:
3-D Hybrid CNN Combined With 3-D Generative Adversarial Network for Wetland Classification With Limited Training Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8095-8108 (2022) - [j22]Seyed Hamed Ashraf Talesh, Nader Nariman-Zadeh, Ali Jamali:
Multi-objective parametric design of PI/PID controllers via multi-level game-theoretic optimization for systems with time delay. Trans. Inst. Meas. Control 44(13): 2532-2544 (2022) - [c2]Ali Jamali, Fariba Mohammadimanesh, Masoud MahdianPari:
Wetland Classification with Swin Transformer Using Sentinel-1 and Sentinel-2 Data. IGARSS 2022: 6213-6216 - [c1]Hossein Bonakdari, Hamed Azimi, Isa Ebtehaj, Bahram Gharabaghi, Ali Jamali, Seyed Hamed Ashraf Talesh:
Estimation of Velocity Field in Narrow Open Channels by a Hybrid Metaheuristic ANFIS Network. SAI (1) 2022: 1-24 - 2021
- [j21]Mohammad Aftabi Talami, Ali Jamali, Nader Nariman-Zadeh:
A new method for extracting the state equations from bond graph of dynamical systems (SEBG method). Int. J. Gen. Syst. 50(6): 703-723 (2021) - [j20]Ali Jamali, Masoud MahdianPari, Brian Brisco, Jean Granger, Fariba Mohammadimanesh, Bahram Salehi:
Comparing Solo Versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery. Remote. Sens. 13(11): 2046 (2021) - [j19]Rammohan Mallipeddi, Iman Gholaminezhad, Mohammad S. Saeedi, Hirad Assimi, Ali Jamali:
Robust controller design for systems with probabilistic uncertain parameters using multi-objective genetic programming. Soft Comput. 25(1): 233-249 (2021) - 2020
- [j18]Hamid Khayyam, Ali Jamali, Alireza Bab-Hadiashar, Thomas Esch, Seeram Ramakrishna, Mahdi Jalili, Minoo Naebe:
A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling With Application in Industry 4.0. IEEE Access 8: 111381-111393 (2020) - [j17]Ali Jamali:
Land use land cover mapping using advanced machine learning classifiers: A case study of Shiraz city, Iran. Earth Sci. Informatics 13(4): 1015-1030 (2020) - [j16]Ali Jamali, Rammohan Mallipeddi, M. Salehpour, Ahmad Bagheri:
Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system. Swarm Evol. Comput. 54: 100666 (2020) - [j15]Adel Mohammadi, Nader Nariman-Zadeh, Ali Jamali:
The archived-based genetic programming for optimal design of linear/non-linear controllers. Trans. Inst. Meas. Control 42(8): 1475-1491 (2020)
2010 – 2019
- 2019
- [j14]Gelayol Golkarnarenji, Minoo Naebe, Khashayar Badii, Abbas S. Milani, Ali Jamali, Alireza Bab-Hadiashar, Reza N. Jazar, Hamid Khayyam:
Multi-Objective Optimization of Manufacturing Process in Carbon Fiber Industry Using Artificial Intelligence Techniques. IEEE Access 7: 67576-67588 (2019) - [j13]Hirad Assimi, Ali Jamali, Nader Nariman-Zadeh:
Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator. Neural Comput. Appl. 31(10): 5729-5749 (2019) - 2018
- [j12]Hirad Assimi, Ali Jamali:
A hybrid algorithm coupling genetic programming and Nelder-Mead for topology and size optimization of trusses with static and dynamic constraints. Expert Syst. Appl. 95: 127-141 (2018) - 2017
- [j11]Hamed Azimi, Hossein Bonakdari, Isa Ebtehaj, Seyed Hamed Ashraf Talesh, David G. Michelson, Ali Jamali:
Evolutionary Pareto optimization of an ANFIS network for modeling scour at pile groups in clear water condition. Fuzzy Sets Syst. 319: 50-69 (2017) - [j10]Ali Jamali, E. Khaleghi, Iman Gholaminezhad, Nader Nariman-Zadeh, B. Gholaminia, A. Jamal-Omidi:
Multi-objective genetic programming approach for robust modeling of complex manufacturing processes having probabilistic uncertainty in experimental data. J. Intell. Manuf. 28(1): 149-163 (2017) - [j9]Iman Gholaminezhad, Ali Jamali, Hirad Assimi:
Multi-objective reliability-based robust design optimization of robot gripper mechanism with probabilistically uncertain parameters. Neural Comput. Appl. 28(S-1): 659-670 (2017) - [j8]Hirad Assimi, Ali Jamali, Nader Nariman-Zadeh:
Sizing and topology optimization of truss structures using genetic programming. Swarm Evol. Comput. 37: 90-103 (2017) - 2016
- [j7]Ali Jamali, E. Khaleghi, Iman Gholaminezhad, Nader Nariman-Zadeh:
Modelling and prediction of complex non-linear processes by using Pareto multi-objective genetic programming. Int. J. Syst. Sci. 47(7): 1675-1688 (2016) - 2014
- [j6]V. Majdabadi-Farahani, M. Hanif, Iman Gholaminezhad, Ali Jamali, Nader Nariman-Zadeh:
Multi-objective optimal design of online PID controllers using model predictive control based on the group method of data handling-type neural networks. Connect. Sci. 26(4): 349-365 (2014) - 2013
- [j5]Ali Jamali, M. Ghamati, Bahman Ahmadi, Nader Nariman-Zadeh:
Probability of failure for uncertain control systems using neural networks and multi-objective uniform-diversity genetic algorithms (MUGA). Eng. Appl. Artif. Intell. 26(2): 714-723 (2013) - 2012
- [j4]Mohammad Javad Mahmoodabadi, Ahmad Bagheri, Nader Nariman-Zadeh, Ali Jamali, Rahmat Abedzadeh Maafi:
Pareto Design of Decoupled Sliding-Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm. J. Appl. Math. 2012: 639014:1-639014:22 (2012) - 2010
- [j3]Nader Nariman-Zadeh, M. Salehpour, Ali Jamali, E. Haghgoo:
Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA). Eng. Appl. Artif. Intell. 23(4): 543-551 (2010) - [j2]Ali Jamali, A. Hajiloo, Nader Nariman-Zadeh:
Reliability-based robust Pareto design of linear state feedback controllers using a multi-objective uniform-diversity genetic algorithm (MUGA). Expert Syst. Appl. 37(1): 401-413 (2010)
2000 – 2009
- 2009
- [j1]Ali Jamali, Nader Nariman-Zadeh, A. Darvizeh, A. Masoumi, S. Hamrang:
Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process. Eng. Appl. Artif. Intell. 22(4-5): 676-687 (2009)
Coauthor Index
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