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Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection
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Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection

Sellami, Akrem ; Farah, Mohamed ; Riadh Farah, Imed ; Solaiman, Basel

Expert systems with applications, 2019-09, Vol.129, p.246-259 [Periódico revisado por pares]

New York: Elsevier Ltd

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Big data and IoT-based applications in smart environments: A systematic review
Big data and IoT-based applications in smart environments: A systematic review
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Big data and IoT-based applications in smart environments: A systematic review

Hajjaji, Yosra ; Boulila, Wadii ; Farah, Imed Riadh ; Romdhani, Imed ; Hussain, Amir

Computer science review, 2021-02, Vol.39, p.100318, Article 100318

Elsevier Inc

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Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review
Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review
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Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review

Rhif, Manel ; Ben Abbes, Ali ; Farah, Imed Riadh ; Martínez, Beatriz ; Sang, Yanfang

Applied sciences, 2019-03, Vol.9 (7), p.1345 [Periódico revisado por pares]

Basel: MDPI AG

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4
A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images
A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images
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A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images

Boulila, Wadii ; Khlifi, Manel Khazri ; Ammar, Adel ; Koubaa, Anis ; Benjdira, Bilel ; Farah, Imed Riadh

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (18), p.4631 [Periódico revisado por pares]

Basel: MDPI AG

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5
Graph-Based Classification and Urban Modeling of Laser Scanning and Imagery: Toward 3D Smart Web Services
Graph-Based Classification and Urban Modeling of Laser Scanning and Imagery: Toward 3D Smart Web Services
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Graph-Based Classification and Urban Modeling of Laser Scanning and Imagery: Toward 3D Smart Web Services

Namouchi, Slim ; Farah, Imed

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (1), p.114 [Periódico revisado por pares]

Basel: MDPI AG

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Extraction of individual trees based on Canopy Height Model to monitor the state of the forest
Extraction of individual trees based on Canopy Height Model to monitor the state of the forest
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Extraction of individual trees based on Canopy Height Model to monitor the state of the forest

Douss, Rim ; Farah, Imed Riadh

Trees, Forests and People (Online), 2022-06, Vol.8, p.100257, Article 100257 [Periódico revisado por pares]

Elsevier B.V

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7
A Hybrid Approach Based on GAN and CNN-LSTM for Aerial Activity Recognition
A Hybrid Approach Based on GAN and CNN-LSTM for Aerial Activity Recognition
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A Hybrid Approach Based on GAN and CNN-LSTM for Aerial Activity Recognition

Bousmina, Abir ; Selmi, Mouna ; Ben Rhaiem, Mohamed Amine ; Farah, Imed Riadh

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (14), p.3626 [Periódico revisado por pares]

Basel: MDPI AG

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8
Propagating aleatory and epistemic uncertainty in land cover change prediction process
Propagating aleatory and epistemic uncertainty in land cover change prediction process
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Propagating aleatory and epistemic uncertainty in land cover change prediction process

Ferchichi, Ahlem ; Boulila, Wadii ; Farah, Imed Riadh

Ecological informatics, 2017-01, Vol.37 (1), p.24-37 [Periódico revisado por pares]

Elsevier B.V

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Comparative study of three satellite image time-series decomposition methods for vegetation change detection
Comparative study of three satellite image time-series decomposition methods for vegetation change detection
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Comparative study of three satellite image time-series decomposition methods for vegetation change detection

Ben Abbes, Ali ; Bounouh, Oumayma ; Farah, Imed Riadh ; de Jong, Rogier ; Martínez, Beatriz

European journal of remote sensing, 2018-01, Vol.51 (1), p.607-615 [Periódico revisado por pares]

Cagiari: Taylor & Francis

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10
Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks
Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks
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Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks

Chebbi, Imen ; Mellouli, Nedra ; Farah, Imed Riadh ; Lamolle, Myriam

Big data and cognitive computing, 2021-05, Vol.5 (2), p.21 [Periódico revisado por pares]

Basel: MDPI AG

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