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Canonical correlation and visual analytics for water resources analysis
Canonical correlation and visual analytics for water resources analysis
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Canonical correlation and visual analytics for water resources analysis

Arezoo Bybordi Terri Thampan; Claudio Douglas Gouveia Linhares; Jean Roberto Ponciano; Bruno Augusto Nassif Travençolo; José Gustavo de Souza Paiva; Ronak Etemadpour

Multimedia Tools and Applications Dordrecht v. 83, n. 11, p. 32453-32473, Mar. 2024

Dordrecht 2024

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3157228 )(Acessar)

2
An efficient employment of internet of multimedia things in smart and future agriculture
An efficient employment of internet of multimedia things in smart and future agriculture
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An efficient employment of internet of multimedia things in smart and future agriculture

AlZu’bi, Shadi ; Hawashin, Bilal ; Mujahed, Muhannad ; Jararweh, Yaser ; Gupta, Brij B.

Multimedia tools and applications, 2019-10, Vol.78 (20), p.29581-29605 [Periódico revisado por pares]

New York: Springer US

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3
An efficient IoT based smart water quality monitoring system
An efficient IoT based smart water quality monitoring system
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An efficient IoT based smart water quality monitoring system

Hemdan, Ezz El-Din ; Essa, Youssef M. ; Shouman, Marwa ; El-Sayed, Ayman ; Moustafa, Abdullah N.

Multimedia tools and applications, 2023-08, Vol.82 (19), p.28827-28851 [Periódico revisado por pares]

New York: Springer US

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4
Canonical correlation and visual analytics for water resources analysis
Canonical correlation and visual analytics for water resources analysis
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Artigo 		Adicionar ao Meu Espaço

Canonical correlation and visual analytics for water resources analysis

Bybordi, Arezoo ; Thampan, Terri ; Linhares, Claudio D. G. ; Ponciano, Jean R. ; Travençolo, Bruno A. N. ; Paiva, Jose Gustavo S. ; Etemadpour, Ronak

Multimedia tools and applications, 2024-03, Vol.83 (11), p.32453-32473 [Periódico revisado por pares]

New York: Springer US

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5
AI-enabled Underground Water Pipe non -destructive Inspection
AI-enabled Underground Water Pipe non -destructive Inspection
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AI-enabled Underground Water Pipe non -destructive Inspection

Angelis, Georgios-Fotios ; Chorozoglou, Dimitrios ; Papadopoulos, Stavros ; Drosou, Anastasios ; Giakoumis, Dimitrios ; Tzovaras, Dimitrios

Multimedia tools and applications, 2024-02, Vol.83 (6), p.18309-18332 [Periódico revisado por pares]

New York: Springer US

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6
Machine learning based crop water demand forecasting using minimum climatological data
Machine learning based crop water demand forecasting using minimum climatological data
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Machine learning based crop water demand forecasting using minimum climatological data

Sidhu, Ravneet Kaur ; Kumar, Ravinder ; Rana, Prashant Singh

Multimedia tools and applications, 2020-05, Vol.79 (19-20), p.13109-13124 [Periódico revisado por pares]

New York: Springer US

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7
Power enhancement in distributed system to control the bidirectional power flow in electric vehicle
Power enhancement in distributed system to control the bidirectional power flow in electric vehicle
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Power enhancement in distributed system to control the bidirectional power flow in electric vehicle

Saini, Sundeep Singh ; Sharma, Kamal Kant

Multimedia tools and applications, 2024-05, Vol.83 (18), p.54673-54698 [Periódico revisado por pares]

New York: Springer US

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8
Critical review on deep learning methodologies employed for water-body segmentation through remote sensing images
Critical review on deep learning methodologies employed for water-body segmentation through remote sensing images
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Critical review on deep learning methodologies employed for water-body segmentation through remote sensing images

Gautam, Swati ; Singhai, Jyoti

Multimedia tools and applications, 2024, Vol.83 (1), p.1869-1889 [Periódico revisado por pares]

New York: Springer US

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9
Content based image retrieval using hybrid feature extraction and HWBMMBO feature selection method
Content based image retrieval using hybrid feature extraction and HWBMMBO feature selection method
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Content based image retrieval using hybrid feature extraction and HWBMMBO feature selection method

Rani, K. Vijila

Multimedia tools and applications, 2023-12, Vol.82 (30), p.47477-47493 [Periódico revisado por pares]

New York: Springer US

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10
Multi-objective modified emperor penguin optimization for resource allocation in internet of things agriculture applications
Multi-objective modified emperor penguin optimization for resource allocation in internet of things agriculture applications
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Multi-objective modified emperor penguin optimization for resource allocation in internet of things agriculture applications

Salotagi, Shreekant ; Mallapur, Jayashree D.

Multimedia tools and applications, 2024-01, Vol.83 (22), p.61139-61164 [Periódico revisado por pares]

New York: Springer US

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