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Maryam Imani
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Journal Articles
- 2024
- [j34]Maryam Imani
:
An iterative PolSAR image classification method with utilizing scattering and contextual information. Multim. Tools Appl. 83(6): 16605-16621 (2024) - [j33]Maryam Imani
:
Modified PCA, LDA and LPP feature extraction methods for PolSAR image classification. Multim. Tools Appl. 83(14): 41171-41192 (2024) - [j32]Maryam Imani, Amin Zehtabian:
Attention based morphological guided deep learning network for neuron segmentation in electron microscopy. J. Supercomput. 80(10): 14272-14294 (2024) - 2023
- [j31]Maryam Imani
:
Alzheimer's diseases diagnosis using fusion of high informative BiLSTM and CNN features of EEG signal. Biomed. Signal Process. Control. 86(Part C): 105298 (2023) - [j30]Amir Hossein Ghazvinizadeh, Maryam Imani, Hassan Ghassemian:
Residual network based on entropy-anisotropy-alpha target decomposition for polarimetric SAR image classification. Earth Sci. Informatics 16(1): 357-366 (2023) - [j29]Ali Farajzadeh
, Shahram Mohammadi, Maryam Imani
:
Hyperspectral image super-resolution using multi-scale decomposition and convolutional neural network based on relation type between low- and high-resolution images. Signal Image Video Process. 17(2): 361-369 (2023) - [j28]Maryam Imani
:
Fuzzy-based weighting long short-term memory network for demand forecasting. J. Supercomput. 79(1): 435-460 (2023) - [j27]Hosein Eskandari, Maryam Imani, Mohsen Parsa Moghaddam:
Best-tree wavelet packet transform bidirectional GRU for short-term load forecasting. J. Supercomput. 79(12): 13545-13577 (2023) - 2022
- [j26]Maryam Imani
:
Polarimetric SAR image classification using binary coding-based polarimetric-morphological features. IET Image Process. 16(14): 3715-3736 (2022) - [j25]Maryam Imani
:
Polarimetric SAR image classification using collaborative representation based nearest subspace. Signal Image Video Process. 16(6): 1577-1585 (2022) - [j24]Roohollah Keshvari, Maryam Imani, Mohsen Parsa Moghaddam:
A clustering-based short-term load forecasting using independent component analysis and multi-scale decomposition transform. J. Supercomput. 78(6): 7908-7935 (2022) - 2021
- [j23]Maryam Imani:
Automatic diagnosis of coronavirus (COVID-19) using shape and texture characteristics extracted from X-Ray and CT-Scan images. Biomed. Signal Process. Control. 68: 102602 (2021) - [j22]Donya Hajializadeh
, Maryam Imani
:
RV-DSS: Towards a resilience and vulnerability- informed decision support system framework for interdependent infrastructure systems. Comput. Ind. Eng. 156: 107276 (2021) - 2020
- [j21]Maryam Imani
:
Texture feed based convolutional neural network for pansharpening. Neurocomputing 398: 117-130 (2020) - [j20]Maryam Imani, Hassan Ghassemian:
An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges. Inf. Fusion 59: 59-83 (2020) - [j19]Maryam Imani
:
Sparse and collaborative representation-based anomaly detection. Signal Image Video Process. 14(8): 1573-1581 (2020) - 2019
- [j18]Md Mahmudul Hasan, Khin T. Lwin, Maryam Imani
, Antesar M. Shabut, Luiz Fernando Bittencourt, M. Alamgir Hossain:
Dynamic multi-objective optimisation using deep reinforcement learning: benchmark, algorithm and an application to identify vulnerable zones based on water quality. Eng. Appl. Artif. Intell. 86: 107-135 (2019) - [j17]Maryam Imani
:
Adaptive signal representation and multi-scale decomposition for panchromatic and multispectral image fusion. Future Gener. Comput. Syst. 99: 410-424 (2019) - [j16]Maryam Imani
, Hassan Ghassemian:
Morphology-based structure-preserving projection for spectral-spatial feature extraction and classification of hyperspectral data. IET Image Process. 13(2): 270-279 (2019) - [j15]Maryam Imani, Gholam Ali Montazer:
A survey of emotion recognition methods with emphasis on E-Learning environments. J. Netw. Comput. Appl. 147 (2019) - 2018
- [j14]Maryam Hamidi, Hassan Ghassemian, Maryam Imani:
Classification of heart sound signal using curve fitting and fractal dimension. Biomed. Signal Process. Control. 39: 351-359 (2018) - [j13]Maryam Imani
:
Hyperspectral anomaly detection using differential image. IET Image Process. 12(5): 801-809 (2018) - [j12]Maryam Imani
:
Attribute profile based target detection using collaborative and sparse representation. Neurocomputing 313: 364-376 (2018) - [j11]Maryam Imani:
Band Dependent Spatial Details Injection Based on Collaborative Representation for Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4994-5004 (2018) - 2017
- [j10]Maryam Imani
, Hassan Ghassemian
:
Attribute profile based feature space discriminant analysis for spectral-spatial classification of hyperspectral images. Comput. Electr. Eng. 62: 555-569 (2017) - [j9]Maryam Imani
, Hassan Ghassemian:
Edge patch image-based morphological profiles for classification of multispectral and hyperspectral data. IET Image Process. 11(3): 164-172 (2017) - [j8]Maryam Imani, Gholam Ali Montazer:
Phishing website detection using weighted feature line embedding. ISC Int. J. Inf. Secur. 9(2): 147-159 (2017) - [j7]Maryam Imani
:
RX Anomaly Detector With Rectified Background. IEEE Geosci. Remote. Sens. Lett. 14(8): 1313-1317 (2017) - [j6]Maryam Imani
, Hassan Ghassemian
:
High-dimensional image data feature extraction by double discriminant embedding. Pattern Anal. Appl. 20(2): 473-484 (2017) - [j5]Maryam Imani
, Hassan Ghassemian
:
Weighted Joint Collaborative Representation Based On Median-Mean Line and Angular Separation. IEEE Trans. Geosci. Remote. Sens. 55(10): 5612-5624 (2017) - 2016
- [j4]Maryam Imani
, Hassan Ghassemian
:
Binary coding based feature extraction in remote sensing high dimensional data. Inf. Sci. 342: 191-208 (2016) - 2015
- [j3]Maryam Imani
, Hassan Ghassemian
:
Feature Extraction Using Weighted Training Samples. IEEE Geosci. Remote. Sens. Lett. 12(7): 1387-1386 (2015) - 2014
- [j2]Maryam Imani
, Hassan Ghassemian
:
Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples. IEEE Geosci. Remote. Sens. Lett. 11(8): 1325-1329 (2014) - [j1]Maryam Imani
, Hassan Ghassemian
:
Feature Extraction Using Attraction Points for Classification of Hyperspectral Images in a Small Sample Size Situation. IEEE Geosci. Remote. Sens. Lett. 11(11): 1986-1990 (2014)
Conference and Workshop Papers
- 2021
- [c5]Maryam Imani:
Polarimetric SAR Classification Using Ridge Regression-Based Polarimetric-Spatial Feature Extraction. CSICC 2021: 1-5 - 2018
- [c4]Maryam Imani, Hassan Ghassemian:
Electrical Load Forecasting Using Customers Clustering and Smart Meters in Internet of Things. IST 2018: 113-117 - [c3]Maryam Imani, Hassan Ghassemian:
Phonocardiography Signal Classification by Applying Feature Space Transformations. IST 2018: 118-122 - 2016
- [c2]Maryam Imani
, Hassan Ghassemian:
Hyperspectral images classification by spectral-spatial processing. IST 2016: 456-461 - 2015
- [c1]Maryam Imani
, Hassan Ghassemian
:
The geometrical and principal structures preservation in feature extraction of high dimensional images. ICSIPA 2015: 259-263
Coauthor Index
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