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Identifying pests in precision agriculture using low-cost image data acquisition
Identifying pests in precision agriculture using low-cost image data acquisition
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Identifying pests in precision agriculture using low-cost image data acquisition

Hemalatha, S ; Sangeetha, M

Brazilian journal of biology, 2024, Vol.84, p.e281671-e281671 [Periódico revisado por pares]

Brazil: Instituto Internacional de Ecologia

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2
Demystifying artificial intelligence and deep learning in dentistry
Demystifying artificial intelligence and deep learning in dentistry
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Demystifying artificial intelligence and deep learning in dentistry

RODRIGUES, Jonas Almeida ; KROIS, Joachim ; SCHWENDICKE, Falk

Brazilian oral research, 2021-01, Vol.35, p.e094-e094 [Periódico revisado por pares]

Sociedade Brasileira de Pesquisa Odontológica - SBPqO

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3
Comprehensive performance analysis of training functions in flow prediction model using artificial neural network
Comprehensive performance analysis of training functions in flow prediction model using artificial neural network
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Comprehensive performance analysis of training functions in flow prediction model using artificial neural network

Shikhar, K.C ; Bhattarai, Khem Prasad ; De Shan, Tang ; Mishra, Saurabh ; Joshi, Ishwar ; Singh, Anurag Kumar

Water S. A., 2024-04, Vol.50 (2), p.190-200 [Periódico revisado por pares]

Pretoria, South Africa: Water Research Commission

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4
Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network
Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network
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Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network

Ismail, A Y ; Kusmana, C ; Nainggolan, M F ; Gandaseca, S

Brazilian journal of biology, 2024, Vol.84, p.e282113-e282113 [Periódico revisado por pares]

Brazil: Instituto Internacional de Ecologia

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5
Primary Health Care and Coordination of Care: device to increase access and improve quality
Primary Health Care and Coordination of Care: device to increase access and improve quality
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Primary Health Care and Coordination of Care: device to increase access and improve quality

Ribeiro, Sabiny Pedreira ; Cavalcanti, Maria de Lourdes Tavares

Ciência & saude coletiva, 2020-05, Vol.25 (5), p.1799-1808 [Periódico revisado por pares]

Brazil: Associacao Brasileira de Pos-Graduacao em Saude Coletiva - ABRASCO

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6
Modelling groundwater level fluctuation in an Indian coastal aquifer
Modelling groundwater level fluctuation in an Indian coastal aquifer
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Modelling groundwater level fluctuation in an Indian coastal aquifer

Javadinejad, Safieh ; Dara, Rebwar ; Jafary, Forough

Water S. A., 2020-10, Vol.46 (4), p.665-671 [Periódico revisado por pares]

Pretoria, South Africa: Water Research Commission

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7
Assessing the accuracy of ANN, ANFIS, and MR techniques in forecasting productivity of an inclined passive solar still in a hot, arid environment
Assessing the accuracy of ANN, ANFIS, and MR techniques in forecasting productivity of an inclined passive solar still in a hot, arid environment
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Assessing the accuracy of ANN, ANFIS, and MR techniques in forecasting productivity of an inclined passive solar still in a hot, arid environment

Alazba, A.A. ; Mashaly, Ahmed F.

Water S. A., 2019-04, Vol.45 (2), p.239-250 [Periódico revisado por pares]

Pretoria, South Africa: Water Research Commission

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8
Improving the accuracy of estimation of eutrophication state index using a remote sensing data-driven method: A case study of Chaohu Lake, China
Improving the accuracy of estimation of eutrophication state index using a remote sensing data-driven method: A case study of Chaohu Lake, China
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Improving the accuracy of estimation of eutrophication state index using a remote sensing data-driven method: A case study of Chaohu Lake, China

Zhen, Jing ; Wang, Xin-Yuan ; Song, Jing-Wei ; Xiang, Bo

Water S. A., 2015-10, Vol.41 (5), p.753-761 [Periódico revisado por pares]

Pretoria, South Africa: Water Research Commission

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9
Neutral space analysis for a Boolean network model of the fission yeast cell cycle network
Neutral space analysis for a Boolean network model of the fission yeast cell cycle network
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Neutral space analysis for a Boolean network model of the fission yeast cell cycle network

Ruz, Gonzalo A ; Timmermann, Tania ; Barrera, Javiera ; Goles, Eric

Biological research, 2014-11, Vol.47 (1), p.64-64 [Periódico revisado por pares]

England: BioMed Central Ltd

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10
Assessing the performance and robustness of the UNICEF model for groundwater exploration in Ethiopia through application of the analytic hierarchy process, logistic regression and artificial neural networks
Assessing the performance and robustness of the UNICEF model for groundwater exploration in Ethiopia through application of the analytic hierarchy process, logistic regression and artificial neural networks
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Assessing the performance and robustness of the UNICEF model for groundwater exploration in Ethiopia through application of the analytic hierarchy process, logistic regression and artificial neural networks

Josephs-Afoko, David ; Godfrey, Samuel ; Campos, Luiza C.

Water S. A., 2018-07, Vol.44 (3), p.365-376 [Periódico revisado por pares]

Pretoria, South Africa: Water Research Commission

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