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Refinado por: Base de dados/Biblioteca: Academic OneFile remover assunto: Technology remover
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Lava Mapping Using Sentinel-1 Data after the Occurrence of a Volcanic Eruption-The Case of Cumbre Vieja Eruption on La Palma, Canary Islands, Spain
Lava Mapping Using Sentinel-1 Data after the Occurrence of a Volcanic Eruption-The Case of Cumbre Vieja Eruption on La Palma, Canary Islands, Spain
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Lava Mapping Using Sentinel-1 Data after the Occurrence of a Volcanic Eruption-The Case of Cumbre Vieja Eruption on La Palma, Canary Islands, Spain

Kyriou, Aggeliki ; Nikolakopoulos, Konstantinos G

Sensors (Basel, Switzerland), 2022-11, Vol.22 (22), p.8768 [Periódico revisado por pares]

Switzerland: MDPI AG

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2
Extracting a Connected River Network from DEM by Incorporating Surface River Occurrence Data and Sentinel-2 Imagery in the Danjiangkou Reservoir Area
Extracting a Connected River Network from DEM by Incorporating Surface River Occurrence Data and Sentinel-2 Imagery in the Danjiangkou Reservoir Area
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Extracting a Connected River Network from DEM by Incorporating Surface River Occurrence Data and Sentinel-2 Imagery in the Danjiangkou Reservoir Area

Lu, Lijie ; Wang, Lihui ; Yang, Qichi ; Zhao, Pengcheng ; Du, Yun ; Xiao, Fei ; Ling, Feng

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (4), p.1014 [Periódico revisado por pares]

Basel: MDPI AG

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3
Co-Occurrence Fingerprint Data-Based Heterogeneous Transfer Learning Framework for Indoor Positioning
Co-Occurrence Fingerprint Data-Based Heterogeneous Transfer Learning Framework for Indoor Positioning
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Co-Occurrence Fingerprint Data-Based Heterogeneous Transfer Learning Framework for Indoor Positioning

Huang, Jian ; Si, Haonan ; Guo, Xiansheng ; Zhong, Ke

Sensors (Basel, Switzerland), 2022-11, Vol.22 (23), p.9127 [Periódico revisado por pares]

Switzerland: MDPI AG

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4
Open Data and Machine Learning to Model the Occurrence of Fire in the Ecoregion of “Llanos Colombo–Venezolanos”
Open Data and Machine Learning to Model the Occurrence of Fire in the Ecoregion of “Llanos Colombo–Venezolanos”
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Open Data and Machine Learning to Model the Occurrence of Fire in the Ecoregion of “Llanos Colombo–Venezolanos”

Barreto, Joan Sebastian ; Armenteras, Dolors

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (23), p.3921 [Periódico revisado por pares]

Basel: MDPI AG

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5
A method to estimate the probability of strong winds occurrence using weather radar data
A method to estimate the probability of strong winds occurrence using weather radar data
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A method to estimate the probability of strong winds occurrence using weather radar data

Chiniforoush, Navid ; Latif Shabgahi, Gholamreza ; Azadi, Majid

Wind energy (Chichester, England), 2022-02, Vol.25 (2), p.221-236 [Periódico revisado por pares]

Bognor Regis: John Wiley & Sons, Inc

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6
Spatiotemporal Heterogeneity of Forest Fire Occurrence Based on Remote Sensing Data: An Analysis in Anhui, China
Spatiotemporal Heterogeneity of Forest Fire Occurrence Based on Remote Sensing Data: An Analysis in Anhui, China
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Spatiotemporal Heterogeneity of Forest Fire Occurrence Based on Remote Sensing Data: An Analysis in Anhui, China

Zhang, Xiao ; Lan, Meng ; Ming, Jinke ; Zhu, Jiping ; Lo, Siuming

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (3), p.598 [Periódico revisado por pares]

Basel: MDPI AG

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7
AVIATION ACCIDENT AND INCIDENT FORECASTING COMBINING OCCURRENCE INVESTIGATION AND METEOROLOGICAL DATA USING MACHINE LEARNING
AVIATION ACCIDENT AND INCIDENT FORECASTING COMBINING OCCURRENCE INVESTIGATION AND METEOROLOGICAL DATA USING MACHINE LEARNING
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AVIATION ACCIDENT AND INCIDENT FORECASTING COMBINING OCCURRENCE INVESTIGATION AND METEOROLOGICAL DATA USING MACHINE LEARNING

Caetano, Mauro

Aviation (Vilnius, Lithuania), 2023-03, Vol.27 (1), p.47-56 [Periódico revisado por pares]

Vilnius: Vilnius Gediminas Technical University

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8
Managing South African biodiversity research data : meeting the challenges of rapidly developing information technology
Managing South African biodiversity research data : meeting the challenges of rapidly developing information technology
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Managing South African biodiversity research data : meeting the challenges of rapidly developing information technology

Coetzer, Willem ; Hamer, Michelle

South African Journal of Science, 2019-03, Vol.115 (3-4), p.10-14 [Periódico revisado por pares]

Pretoria: Academy of Science for South Africa (ASSAf)

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9
Towards Non Co-occurrence Incremental Object Detection with Unlabeled In-the-Wild Data
Towards Non Co-occurrence Incremental Object Detection with Unlabeled In-the-Wild Data
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Towards Non Co-occurrence Incremental Object Detection with Unlabeled In-the-Wild Data

Dong, Na ; Zhang, Yongqiang ; Ding, Mingli ; Lee, Gim Hee

International journal of computer vision, 2024-06 [Periódico revisado por pares]

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10
HOVA-FPPM: Flexible Periodic Pattern Mining in Time Series Databases Using Hashed Occurrence Vectors and Apriori Approach
HOVA-FPPM: Flexible Periodic Pattern Mining in Time Series Databases Using Hashed Occurrence Vectors and Apriori Approach
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HOVA-FPPM: Flexible Periodic Pattern Mining in Time Series Databases Using Hashed Occurrence Vectors and Apriori Approach

Javed, Muhammad Fasih ; Nawaz, Waqas ; Khan, Kifayat Ullah Huang, Jiwei ; Jiwei Huang

Scientific programming, 2021-01, Vol.2021, p.1-14 [Periódico revisado por pares]

New York: Hindawi

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