Search Results - "algorithm"

Solving nonlinear water management models using a combined genetic algorithm and linear programming approach by Cai, Ximing, McKinney, Daene C., Lasdon, L. S.

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Yield prediction models for some wheat varieties with satellite-based drought indices and machine learning algorithms by Cem Akcapınar, M., Cakmak, B.

“…Using various machine learning algorithms, 21 yield prediction models for Bayraktar-2000, 12 for Kızıltan-91 and 8 for Bezostaya-1 were presented as alternatives, with model performances (coefficient of determination, R2) ranging between 0.74 and 0.97, 0.73 and 0.96, and 0.69 and 0.87, respectively.…”
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An algorithm for rapid flood inundation mapping from optical data using a reflectance differencing technique by Amarnath, Giriraj

Subjects: “…algorithms…”
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Implementation of the LOCAL algorithm with near-infrared spectroscopy in forage resources for grazing systems of dairy cattle in Colombia by Ariza Nieto, Claudia Janeth, Mojica, B., Parra, D., Mayorga Mogollón, Olga Lucía, Afanador Téllez, Germán

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Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso by Tao, H., Diop, L., Bodian, A., Djaman, K., Ndiaye, P.M., Yaseen, Z.M.

“…This study investigates the capabilities of hybridized fuzzy model with firefly algorithm (ANFIS-FA) for predicting daily reference evapotranspiration over Burkina Faso region. …”
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An algorithm for rapid flood inundation mapping from optical data using reflectance differencing technique [Abstract only]. by Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.

Subjects: “…algorithms…”
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Joint selection of wavenumber regions for MidIR and raman spectra and variables in PLS regression using genetic algorithms by Grosmaire, L., Maldonado-Alvarado, P., Reynés, C., Sabatier, R., Dufour, D.L., Tran, T., Delarbre, J.L.

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LOCAL regression algorithm improves near infrared spectroscopy predictions when the target constituent evolves in breeding populations by Davrieux, Fabrice, Dufour, D.L., Dardenne, Pierre, Belalcázar, John Eiver, Pizarro, Mónica, Luna Meléndez, Jorge Luis, Londoño Hernandez, Luis Fernando, Jaramillo Valencia, Angélica M., Sánchez, Teresa, Morante, Nelson, Calle, Fernando, Becerra López Lavelle, Luis Augusto, Ceballos, H.

“…The LOCAL regression algorithm takes advantage of large databases; this study highlighted the efficiency of this concept. …”
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Iron bioavailability from maize and beans: a comparison of human measurements with Caco-2 cell and algorithm predictions by Beiseigel, J.M., Hunt, J.R., Glahn, Raymond P., Welch, R.M., Menkir, A., Maziya-Dixon, B.B.

“…Conclusions: Caco-2 predictions confirmed human iron absorption results for maize meals but not for bean meals, and algorithm predictions were only qualitatively predictive.…”
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A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler by Tineo Flores, Daniel, Murillo, Yuriko S., Marin, Mercedes, Gomez Fernandez, Darwin, Taboada, Víctor H., Goñas Goñas, Malluri, Quiñonez Huatangari, Lenin

Subjects: “…Algorithms…”
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Exploiting the successive projections algorithm to improve the quantification of chemical constituents and discrimination of botanical origin of Argentinean bee-pollen by Vallese, Federico Danilo, Garcia Paoloni, María Soledad, Springer, Valeria, Fernandes, David Douglas de Sousa, Diniz, Paulo Henrique Gonçalves Dias, Pistonesi, Marcelo Fabián

“…Compared to full spectrum models, the successive projections algorithm (SPA) for selection of intervals or individual variables always achieved the best results for quantitative and qualitative approaches. …”
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Algorithmic analysis of drug induced apoptosis and proteasome inhibition in cancer cells based on time-lapse microscopy images by Obaid, Aftab

“…Cellprofiler is an open source modular package that contains advance algorithms for image analysis for extraction of quantitative information from biological images. …”

Mapping plant functional types in Northwest Himalayan foothills of India using random forest algorithm in Google Earth Engine by Srinet, R., Nandy, S., Padalia, H., Ghosh, Surajit, Watham, T., Patel, N. R., Chauhan, P.

“…The present study aims to generate a PFT map for the Northwest Himalayan (NWH) foothills of India using seasonality parameters, topographic conditions, and climatic information from various satellite data and products using Random Forest (RF) algorithm in Google Earth Engine (GEE) platform. The seasonality information was extracted by carrying out a harmonic analysis of Normalized Difference Vegetation Index (NDVI) time-series (2008 to 2018) from Moderate Resolution Imaging Spectroradiometer (MODIS) Terra surface reflectance 8 day 500 m data (MOD09A1). …”
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Predicting optical water quality indicators from remote sensing using machine learning algorithms in tropical highlands of Ethiopia by Leggesse, E.S., Zimale, Fasikaw A., Sultan, D., Enku, T., Srinivasan, R., Tilahun, Seifu A.

Subjects: “…algorithms…”
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A machine learning algorithm for mapping small reservoirs using Sentinel-2 satellite imagery in Google Earth Engine by Siabi, Ebenezer K., Akpoti, Komlavi, Zwart, Sander J.

“…The algorithm, leveraging specific spectral bands and MNDWI, demonstrates high accuracy, with results validated against a test dataset. …”
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Highly sensitive molecular assay based on Identical Multi-Repeat Sequence (IMRS) algorithm for the detection of Trichomonas vaginalis infection by Shiluli, C., Kamath, S., Kanoi, B.N., Kimani, R., Oduor, Bernard, Abkallo, Hussein M., Maina, M., Waweru, H., Kamita, M., Pamme, N., Dupaty, J., Klapperich, C.M., Lolabattu, S.R., Gitaka, J.

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Exploring water management options using genetic algorithms: A case study of Bata Minor, Kaithal, Haryana, India by Ines, Amor V.M., Clemente, R., Droogers, Peter, Gupta, A.D., Honda, K.

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Estimation and analysis of insect population dynamics parameters via physiologically based models and hybrid genetic algorithm MCMC methods by Rossini, Luca, Bruzzone, Octavio Augusto, Speranza, Stefano, Delfino, Ines

Subjects: “…Algorithms…”
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Modeling seed dormancy release and germination for predicting Avena fatua L. field emergence: A genetic algorithm approach by Blanco, Anibal Manuel, Chantre Balacca, Guillermo Ruben, Lodovichi, Mariela Victoria, Bandoni, Jose Alberto, Lopez, Ricardo Luis, Vigna, Mario Raul, Gigon, Ramon, Sabbatini, Mario Ricardo

“…Due to its implementation simplicity and good convergence features, a Genetic Algorithm (GA) was adopted to solve the resulting optimization problem consisting on the minimization of the Mean Square Error (MSE) between training data and experimentally obtained field emergence data. …”
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Acoustic response discrimination of phulae pineapple maturity and defects using factor analysis of mixed data and machine learning algorithms by Arwatchananukul, Sujitra, Chaiwong, Saowapa, Aunsri, Nattapol, Kittiwachana, Sila, Luengwilai, Kietsuda, Trongsatitkul, Tatiya, Mahajan, Pramod, Blasco, José, Rattapon, Saengrayap

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