Search Results - "Jamali, Ali"

Improving land use land cover mapping of a neural network with three optimizers of multi-verse optimizer, genetic algorithm, and derivative-free function by Jamali, Ali

“…For land management and planning, information on the Land Use Land Cover (LULC) is vital. In this research, three optimizers of the Multi-Verse Optimizer…”
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Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data by Jamali, Ali, Mahdianpari, Masoud

“…The use of machine learning algorithms to classify complex landscapes has been revolutionized by the introduction of deep learning techniques, particularly in…”
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Land use land cover mapping using advanced machine learning classifiers by Jamali, Ali

“…Due to the recent climate changes such as floods and droughts, there is a need for Land Use Land Cover (LULC) mapping to monitor environmental changes that…”
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Detecting botnet by using particle swarm optimization algorithm based on voting system by Asadi, Mehdi, Jabraeil Jamali, Mohammad Ali, Parsa, Saeed, Majidnezhad, Vahid

“…Botnets have recently been identified as serious Internet threats that are continually developing and expanding. Identifying botnets in the domain of network…”
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WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping by Jamali, Ali, Roy, Swalpa Kumar, Ghamisi, Pedram

“…The Ramsar Convention of 1971 encourages wetland preservation, but it is unclear how climate change will affect wetland extent and related biodiversity. Due to…”
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A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples by Jamali, Ali, Mahdianpari, Masoud, Mohammadimanesh, Fariba, Homayouni, Saeid

“…•Large-scale mapping methodology developed for complex wetlands.•High performances and transferability for large-scale wetland mapping.•The generation of…”
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Improving electric vehicle charging forecasting: A hybrid deep learning approach for probabilistic predictions by Jahromi, Ali Jamali, Masoudi, Mohammad Reza, Mohammadi, Mohammad, Afrasiabi, Shahabodin

“…Electric vehicles (EVs) have gained significant attention recently. Despite their advantages, challenges in the power grid, such as providing necessary…”
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A Cloud-Based Framework for Large-Scale Monitoring of Ocean Plastics Using Multi-Spectral Satellite Imagery and Generative Adversarial Network by Jamali, Ali, Mahdianpari, Masoud

“…Marine debris is considered a threat to the inhabitants, as well as the marine environments. Accumulation of marine debris, besides climate change factors,…”
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Robust cooperative multiple flexible-joint arms control using the q-Bernstein-Schurer operators as the uncertainty approximator: A singular perturbation approach by Izadbakhsh, Alireza, Nazari, Ali Jamali, Talaei, Hamidreza

“…The position-force tracking issue of an object being moved by collaborative Multiple Flexible-Joint arms, facing dynamic uncertainties, model nonlinearities,…”
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Swin Transformer for Complex Coastal Wetland Classification Using the Integration of Sentinel-1 and Sentinel-2 Imagery by Jamali, Ali, Mahdianpari, Masoud

“…The emergence of deep learning techniques has revolutionized the use of machine learning algorithms to classify complicated environments, notably in remote…”
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A robust numerical method for drawing the fluid flux-barrier geometry in the inner and outer rotor radial flux synchronous reluctance machines based on the finite difference method by Jamali Fard, Ali, Mirsalim, Mojtaba

“…Purpose Rotor shape optimization is crucial in designing synchronous reluctance machines (SynRMs) because the machine performance is directly proportional to…”
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Szasz-Favard-Mirakyan operators for Chaos synchronization: An Observer-based approach by Izadbakhsh, Alireza, Kalat, Ali Akbarzadeh, Nazari, Ali Jamali

“…In this paper, a Szasz-Favard-Mirakyan operator is exploited for chaos synchronization of a master-slave system. The universal approximation feature asset lets…”
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Proposing a sequential iterative method based on a per-unit model for rotor shape optimization in permanent magnet assisted synchronous reluctance motors by Jamali Fard, Ali, Mirsalim, Mojtaba

“…Purpose During the design process of synchronous reluctance motors (SynRMs), one crucial step, after its main dimensioning, is optimizing the rotor geometry…”
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TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping by Jamali, Ali, Roy, Swalpa Kumar, Li, Jonathan, Ghamisi, Pedram

“…Deforestation has become a major cause of climate change, and as a result, both characterizing the drivers and estimating segmentation maps of deforestation…”
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Ecosystem sensitivity and landscape vulnerability of debris flow waste-shoal land under development and utilization changes by He, Songtang, Yang, Hongfei, Chen, Xiaoqing, Wang, Daojie, Lin, Yongming, Pei, Zengli, Li, Yong, Akbar Jamali, Ali

“…•Land use changes in debris flow waste-shoal land system are analyzed.•The vulnerability and sensitivity of the DFWSL system itself were assessed and mapped.•A…”
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An adaptive method for calculation of iron losses in switched reluctance motors using a minimum number of magnetostatic finite element simulations by Jamali Fard, Ali, Mirsalim, Mojtaba

“…Purpose This paper aims to present an adaptive method based on finite element analysis to calculate iron losses in switched reluctance motors (SRMs)…”
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Sizing and topology optimization of truss structures using genetic programming by Assimi, Hirad, Jamali, Ali, Nariman-zadeh, Nader

“…This paper presents a genetic programming approach for simultaneous optimization of sizing and topology of truss structures. It aims to find the optimal…”
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A low-cost IoT-based deep learning method of water gauge measurement for flood monitoring by Hashemi-Beni, Leila, Puthenparampil, Megha, Jamali, Ali

“…Real-time and accurate measurement of the water level is a critical step in flood monitoring and management of water resources. In recent years, with the…”
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A Stackelberg game theoretic multi-objective synthesis of four-bar mechanisms by Ahmadi, Bahman, Nariman-zadeh, Nader, Jamali, Ali

“…In this article, a Stackelberg game theoretic approach is used for multi-objective optimal synthesis of four-bar mechanisms for path generation. Two objective…”
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How to Learn More? Exploring Kolmogorov–Arnold Networks for Hyperspectral Image Classification by Jamali, Ali, Roy, Swalpa Kumar, Hong, Danfeng, Lu, Bing, Ghamisi, Pedram

“…Convolutional neural networks (CNNs) and vision transformers (ViTs) have shown excellent capability in complex hyperspectral image (HSI) classification…”
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