Ali Jamali
Orcid: 0000-0002-6073-5493
According to our database1,
Ali Jamali
authored at least 43 papers
between 2009 and 2024.
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Bibliography
2024
Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification.
IEEE Trans. Geosci. Remote. Sens., 2024
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction.
IEEE Geosci. Remote. Sens. Lett., 2024
Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
2023
Evaluation of the absolute forms of cost functions in optimization using a novel evolutionary algorithm.
Soft Comput., November, 2023
Int. J. Appl. Earth Obs. Geoinformation, June, 2023
Int. J. Appl. Earth Obs. Geoinformation, June, 2023
Eng. Appl. Artif. Intell., May, 2023
GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data.
Expert Syst. Appl., April, 2023
IEEE Geosci. Remote. Sens. Lett., 2023
Enhancing disturbance rejection performance for a class of networked cascade control systems: an <i>H<sub>∞</sub></i> approach.
Int. J. Control, 2023
SoilNet: An Attention-based Spatio-temporal Deep Learning Framework for Soil Organic Carbon Prediction with Digital Soil Mapping in Europe.
CoRR, 2023
2022
Multi-objective parametric design of PI/PID controllers via multi-level game-theoretic optimization for systems with time delay.
Trans. Inst. Meas. Control, 2022
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., 2022
Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data.
Remote. Sens., 2022
Multi-objective Lyapunov-based controller design for nonlinear systems via genetic programming.
Neural Comput. Appl., 2022
PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation.
IEEE Geosci. Remote. Sens. Lett., 2022
3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer.
Ecol. Informatics, 2022
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, 2022
Estimation of Velocity Field in Narrow Open Channels by a Hybrid Metaheuristic ANFIS Network.
Proceedings of the Intelligent Computing, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Robust controller design for systems with probabilistic uncertain parameters using multi-objective genetic programming.
Soft Comput., 2021
Comparing Solo Versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery.
Remote. Sens., 2021
A new method for extracting the state equations from bond graph of dynamical systems (SEBG method).
Int. J. Gen. Syst., 2021
2020
The archived-based genetic programming for optimal design of linear/non-linear controllers.
Trans. Inst. Meas. Control, 2020
Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system.
Swarm Evol. Comput., 2020
Land use land cover mapping using advanced machine learning classifiers: A case study of Shiraz city, Iran.
Earth Sci. Informatics, 2020
A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling With Application in Industry 4.0.
IEEE Access, 2020
2019
Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator.
Neural Comput. Appl., 2019
Multi-Objective Optimization of Manufacturing Process in Carbon Fiber Industry Using Artificial Intelligence Techniques.
IEEE Access, 2019
2018
A hybrid algorithm coupling genetic programming and Nelder-Mead for topology and size optimization of trusses with static and dynamic constraints.
Expert Syst. Appl., 2018
2017
Swarm Evol. Comput., 2017
Multi-objective reliability-based robust design optimization of robot gripper mechanism with probabilistically uncertain parameters.
Neural Comput. Appl., 2017
Multi-objective genetic programming approach for robust modeling of complex manufacturing processes having probabilistic uncertainty in experimental data.
J. Intell. Manuf., 2017
Evolutionary Pareto optimization of an ANFIS network for modeling scour at pile groups in clear water condition.
Fuzzy Sets Syst., 2017
2016
Modelling and prediction of complex non-linear processes by using Pareto multi-objective genetic programming.
Int. J. Syst. Sci., 2016
2014
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., 2014
2013
Probability of failure for uncertain control systems using neural networks and multi-objective uniform-diversity genetic algorithms (MUGA).
Eng. Appl. Artif. Intell., 2013
2012
Pareto Design of Decoupled Sliding-Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm.
J. Appl. Math., 2012
2010
Reliability-based robust Pareto design of linear state feedback controllers using a multi-objective uniform-diversity genetic algorithm (MUGA).
Expert Syst. Appl., 2010
Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA).
Eng. Appl. Artif. Intell., 2010
2009
Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process.
Eng. Appl. Artif. Intell., 2009