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06/08/2023
Non-Intrusive Load Monitoring (NILM) using Deep Neural Networks: A Review
Demand-side management now encompasses more residential loads. To effici...
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06/08/2023
Sequence-to-Sequence Model with Transformer-based Attention Mechanism and Temporal Pooling for Non-Intrusive Load Monitoring
This paper presents a novel Sequence-to-Sequence (Seq2Seq) model based o...
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07/28/2022
Electricity Price Forecasting Model based on Gated Recurrent Units
The participation of consumers and producers in demand response programs...
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04/10/2022
Spectral Unmixing of Hyperspectral Images Based on Block Sparse Structure
Spectral unmixing (SU) of hyperspectral images (HSIs) is one of the impo...
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01/18/2022
Deep Learning Based Framework for Iranian License Plate Detection and Recognition
License plate recognition systems have a very important role in many app...
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09/26/2021
Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network
Integration of renewable energy sources and emerging loads like electric...
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07/03/2021
Drone Detection Using Convolutional Neural Networks
In image processing, it is essential to detect and track air targets, es...
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05/16/2019
Clustered Multitask Nonnegative Matrix Factorization for Spectral Unmixing of Hyperspectral Data
In this paper, the new algorithm based on clustered multitask network is...
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02/20/2019
Sparsity Constrained Distributed Unmixing of Hyperspectral Data
Spectral unmixing (SU) is a technique to characterize mixed pixels in hy...
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12/27/2018
Hyperspectral Unmixing Based on Clustered Multitask Networks
Hyperspectral remote sensing is a prominent research topic in data proce...
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11/03/2017
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint
Spectral unmixing (SU) is a data processing problem in hyperspectral rem...
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06/04/2015
Multilayer Structured NMF for Spectral Unmixing of Hyperspectral Images
One of the challenges in hyperspectral data analysis is the presence of ...
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11/03/2014
Sparsity Constrained Graph Regularized NMF for Spectral Unmixing of Hyperspectral Data
Hyperspectral images contain mixed pixels due to low spatial resolution ...
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08/12/2014
Spectral Unmixing of Hyperspectral Imagery using Multilayer NMF
Hyperspectral images contain mixed pixels due to low spatial resolution ...
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10/22/2013
Fusion of Hyperspectral and Panchromatic Images using Spectral Uumixing Results
Hyperspectral imaging, due to providing high spectral resolution images,...
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06/29/2013
Hyperspectral Data Unmixing Using GNMF Method and Sparseness Constraint
Hyperspectral images contain mixed pixels due to low spatial resolution ...
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12/04/2012
Unmixing of Hyperspectral Data Using Robust Statistics-based NMF
Mixed pixels are presented in hyperspectral images due to low spatial re...
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11/03/2011
