Resultados de búsqueda - "algorithm"

Digital soil mapping of metals and metalloids in croplands using multiple geospatial data and machine learning, implemented in GEE, for the Peruvian Mantaro Valley por Pizarro Carcausto, Samuel, Vera Vilchez, Jesús Emilio, Huamani, Joseph, Cruz, Juancarlos, Lastra Paucar, Sphyros Roomel, Solórzano Acosta, Richard Andi, Verástegui Martínez, Patricia

Materias: “…Algorithms…”
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Using biometric analysis to estimate body weight in Creole goats por Trillo Zárate, Fritz Carlos, Paredes Chocce, Miguel Enrique, Salinas Marcos, Jorge, Temoche Socola, Víctor Alexander, Tafur Gutiérrez, Lucinda, Sessarego Dávila, Emmanuel Alexander, Acosta Granados, Irene Carol, Palomino Guerrera, Walter, Cruz Luis, Juancarlos Alejandro, Ruiz Chamorro, Jose Antonio

Materias: “…Algorithms…”
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Land cover changes in the Upper Great Ruaha (Tanzania) and the Upper Awash (Ethiopia) river basins and their potential implications for groundwater resources por Chandrasekharan, Kiran M., Villholth, Karen G., Kashaigili, J. J., Gebregziabher, Gebrehaweria, Mandela, P. J.

Materias: “…algorithms…”
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Spatial prediction of soil organic carbon stocks across contrasting Andean basins, Peru por Carbajal Llosa, Carlos Miguel, Tumbalobos Dextre, Merely, Condori Ataupillco, Levi Tatiana, Cuellar Condori, Nestor Edwin, Gavilan, Carla

Materias: “…Machine learning regression algorithms…”
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Continuous monitoring of forest change dynamics with satellite time series por Decuyper, M., Chávez, R.O., Lohbeck, M., Lastra, J.A., Tsendbazar, N.E., Hackländer, J., Herold, M., Vågen, Tor-Gunnar

“…Several forest change detection algorithms are available for tracking and quantifying deforestation based on dense Landsat and Sentinel time series satellite data. …”
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Evaluation of oraquick® HIV-1/2 as oral rapid test por Nkenfou, C.N., Kembou, J.E., Temgoua, E.S., Djikeng, Appolinaire, Mouafo, L.M., Ndzie, E.N., Donkam, I., Colizzi, V., SanouSobze, M.

“…After counselling, they were tested for HIV using the national algorithm followed by OraQuick. Results of the national algorithm were compared to those of OraQuick, for sensitivity, specificity, positive predictive and negative predictive values. 62% of participants were male, and 1% was reported HIV-positive following the national algorithm. …”
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Annual forest cover conditions across the Southwestern Amazon, 2003-2021 por Reygadas, Yunuen

“…A Landsat-based machine learning algorithm (Reygadas et al. 2021, Environmental Research Communications) adapted from Wang et al. (2019, Remote Sensing of Environment) to the Southwestern Amazon was used to map intact forest, degradation, and deforestation in this region on a yearly basis during the 2003-2021 period. …”
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Predicting climate smart agriculture (CSA) practices using machine learning: A prime exploratory survey por Noma, Freddy, Babu, Suresh Chandra

“…And both models are revealed to have fair performance metrics, with algorithm reaching up to 60% of accuracy. To further improve accuracy scores, deep-learning algorithms are suggested in future research. …”
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Effects of sample size on the performance of species distribution models por Wisz, M.S., Hijmans, R.J., Li, J., Peterson, A.T., Graham, C.H., Guisan, A.

“…A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others to predict species ranges from point locality data. …”
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Driftmodellering av saltvattenbatteri för kapning av effekttoppar por Andersson-Gran, Hilda, Björn, Albin, Winning, Sonja, Bösenecker, Judith, Ersdotter, Gunnel, Karlberg, Madeleine, Norell Helmsjö, David

“…The algorithm is created based on economical, environmental, and political aspects. …”
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RGB imaging and computer vision-based approaches for identifying spike number loci for wheat por Li, Lei, Hassan, Muhammad Adeel, Wang, Duoxia, Wan, Guoliang, Beegum, Sahila, Rasheed, Awais, Xia, Xianchun, He, Yong, Zhang, Yong, He, Zhonghu, Liu, Jindong, Xiao, Yonggui

“…The improved YOLOX-P algorithm demonstrated higher mean average precision scores (5.30-5.99 %) and F1 scores (0.06) than did the YOLOX algorithm when it was applied to the same subsets. …”
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Improving care pathways for children with severe illness through implementation of the ASPIRE mHealth primary ETAT package in Malawi por Desmond, Nicola, Henrion, Marc Y. R., Gondwe, Mtisunge, O’Byrne, Thomasena, Tam, Pui-Ying Iroh, Nyirenda, Deborah, Pollock, Louisa, Majamanda, Maureen Daisy, Makwero, Martha, Geldof, Marije, Dube, Queen, Phiri, Chimwemwe, Banda, Chimwemwe, Kachala, Rabson, Heyderman, Prof Robert S., Masesa, Clemens, Lufesi, Norman, Lalloo, David G.

“…We describe the development, implementation and mixed methods evaluation of a mobile health (mHealth) triage algorithm based on the WHO Emergency, Triage, Assessment, and Treatment (ETAT) for primary-level care. …”
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How big is your neighbourhood? Spatial implications of market participation among Filipino smallholders por Holloway, G.J., Lapar, Ma. Lucila

“…Because both quantities have fundamental bearing on the magnitude of the spatial externality, it is desirable to have a robust algorithm for their estimation. Using recent advances in Bayesian estimation and model comparison, we devise such an algorithm and illustrate its application to a sample of northern-Filipino smallholders. …”
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Determination of moisture content in pine wood chips with dual energy x-ray absorptiometry por Cano, Víctor Fernández

“…Also to see if the same algorithm could be used for both spruce and pine chips. …”

Ecological niche and potential geographic distribution of the invasive fruit fly Bactrocera invadens (Diptera, Tephritidae) por Meyer, M. de, Robertson, M.P., Mansell, M.W., Ekesi, S., Tsuruta, K., Mwaiko, W., Vayssières, Jean-François, Peterson, A.T.

“…Two correlative approaches to the challenge of ecological niche modeling (genetic algorithm, maximum entropy) were used to estimate the potential global distribution of the invasive fruit fly, Bactrocera invadens, based on associations between known occurrence records and a set of environmental predictor variables. …”
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Development of a 3D accelerometer to predict dairy goats behaviour por Cano, C., Fajardo, B., Marchese, M., Iervolino, V., Gómez-Maqueda, I., Calvet, Salvador, Estellés, Fernando, Villagrá, Arantxa

“…The algorithm also performed well in identifying movement behavior, with an accuracy of 82%. …”
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An approach for improving the sampling efficiency in the Bayesian calibration of computationally expensive simulation models por Xie, Hua, Eheart, J. Wayland, Chen, Yuguo, Bailey, Barbara A.

“…A multiple‐try Markov chain Monte Carlo (MCMC) algorithm is designed to implement this idea and is benchmarked with the Metropolis‐Hastings algorithm, a basic recipe for MCMC sampling. …”
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Assessment of flower number per inflorescence in grapevine by image analysis under field conditions por Diago-Santamaría, María P., Sanz-Garcia, Andres, Millan, Borja, Blasco, José, Tardáguila, Javier

“…CONCLUSION The developed algorithm proved that the analysis of digital images captured by pocket cameras under uncontrolled outdoors conditions was able to automatically provide a useful estimation of the number of flowers per inflorescence of grapevines at early stages of flowering.…”
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A simplified approach for producing Tier 2 enteric-methane emission factors based on East African smallholder farm data por Ndung'u, Phyllis W., Toit, C.J.L. du, Takahashi, T., Robertson-Dean, M., Butterbach-Bahl, Klaus, Merbold, Lutz, Goopy, John P.

“…Key results. Employing the algorithm LW showed good agreement in DMP, with only a small negative bias (7%) and almost no change in variance. …”
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Bioinformatics approach for developing a minimum set of SNP markers for identification of temperate japonica rice varieties cultivated in Spain por Sales, Ester, García-Romeral, Julia, Domingo, Concha

“…In addition, we used this algorithm to discriminate the 43 most cultivated in Spain rice varieties with minimal sets of 8 SNPs. …”
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