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Maryam Imani
Maryam Imani
Associate Professor, Faculty of Electrical and Computer Engineering, Tarbiat Modares University
Bestätigte E-Mail-Adresse bei modares.ac.ir - Startseite
Titel
Zitiert von
Zitiert von
Jahr
An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges
M Imani, H Ghassemian
Information fusion 59, 59-83, 2020
2472020
A survey of emotion recognition methods with emphasis on E-Learning environments
M Imani, GA Montazer
Journal of Network and Computer Applications 147, 102423, 2019
1832019
Convolutional and Recurrent Neural network Based Model for Short-Term Load Forecasting
H Eskandari, M Imani, M Parsa Moghaddam
Electric Power Systems Research 195, 2021
1502021
Classification of heart sound signal using curve fitting and fractal dimension
M Hamidi, H Ghassemian, M Imani
Biomedical Signal Processing and Control 39, 351-359, 2018
1352018
Fast Facial emotion recognition Using Convolutional Neural Networks and Gabor Filters
M Mohammad Taghi Zadeh, M Imani, B Majidi
5th Conference on Knowledge-Based Engineering and Innovation, 2019
111*2019
Electrical load-temperature CNN for residential load forecasting
M Imani
Energy 227, 120480, 2021
1062021
Electrical Load Forecasting Using Customers Clustering and Smart Meters in Internet of Things
M Imani, H Ghassemian
9th International Symposium on Telecommunications (IST2018), 2018
1052018
Band clustering-based feature extraction for classification of hyperspectral images using limited training samples
M Imani, H Ghassemian
IEEE Geoscience and remote sensing letters 11 (8), 1325-1329, 2013
992013
Feature extraction using weighted training samples
M Imani, H Ghassemian
IEEE Geoscience and Remote Sensing Letters 12 (7), 1387-1391, 2015
842015
Feature space discriminant analysis for hyperspectral data feature reduction
M Imani, H Ghassemian
ISPRS Journal of Photogrammetry and Remote Sensing 102, 1-13, 2015
832015
Residential load forecasting using wavelet and collaborative representation transforms
M Imani, H Ghassemian
Applied Energy 253, 113505, 2019
692019
Feature extraction using attraction points for classification of hyperspectral images in a small sample size situation
M Imani, H Ghassemian
IEEE Geoscience and Remote Sensing Letters 11 (11), 1986-1990, 2014
492014
RX anomaly detector with rectified background
M Imani
IEEE Geoscience and Remote Sensing Letters 14 (8), 1313-1317, 2017
482017
Ridge regression-based feature extraction for hyperspectral data
M Imani, H Ghassemian
International Journal of Remote Sensing 36 (6), 1728-1742, 2015
422015
Principal component discriminant analysis for feature extraction and classification of hyperspectral images
M Imani, H Ghassemian
2014 Iranian Conference on Intelligent Systems (ICIS), 1-5, 2014
422014
Binary coding based feature extraction in remote sensing high dimensional data
M Imani, H Ghassemian
Information Sciences 342, 191-208, 2016
412016
Anomaly detection using morphology-based collaborative representation in hyperspectral imagery
M Imani
European Journal of Remote Sensing 51 (1), 457-471, 2018
352018
Two dimensional linear discriminant analyses for hyperspectral data
M Imani, H Ghassemian
Photogrammetric Engineering & Remote Sensing 81 (10), 777-786, 2015
312015
GLCM, Gabor, and Morphology Profiles Fusion for Hyperspectral Image Classification
M Imani, H Ghassemian
24th Iranian Conference on Electrical Engineering (ICEE 2016), 2016
302016
Particulate matter (PM2. 5 and PM10) generation map using MODIS Level-1 satellite images and deep neural network
M Imani
Journal of environmental management 281, 111888, 2021
282021
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