Výsledky vyhľadávania - "Machine learning regression algorithms"

Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops Autor Danner, Martin, Berger, Katja, Wocher, Matthias, Mauser, Wolfram, Hank, Tobias

“…[Display omitted] With an upcoming unprecedented stream of imaging spectroscopy data, there is a rising need for tools and software applications exploiting the…”
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A New Typology Design of Performance Metrics to Measure Errors in Machine Learning Regression Algorithms Autor Botchkarev, Alexei

“… The main goal of the study was to develop a new typology that will help to advance knowledge of metrics and facilitate their use in machine learning regression algorithms Background…”
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The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features Autor Cui, Zaixu, Gong, Gaolang

“…Individualized behavioral/cognitive prediction using machine learning (ML) regression approaches is becoming increasingly applied. The specific ML regression…”
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Evaluation of nine machine learning regression algorithms for calibration of low-cost PM2.5 sensor Autor Kumar, Vikas, Sahu, Manoranjan

“…Low-cost sensors (LCS) can construct a high spatial and temporal resolution PM2.5 network but are affected by environmental parameters such as relative…”
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Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3 Autor Verrelst, Jochem, Muñoz, Jordi, Alonso, Luis, Delegido, Jesús, Rivera, Juan Pablo, Camps-Valls, Gustavo, Moreno, José

“… Machine learning regression algorithms may be powerful candidates for the estimation of biophysical parameters from satellite reflectance measurements because of their ability to perform adaptive…”
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Prediction based mean-value-at-risk portfolio optimization using machine learning regression algorithms for multi-national stock markets Autor Behera, Jyotirmayee, Pasayat, Ajit Kumar, Behera, Harekrushna, Kumar, Pankaj

“…The future performance of stock markets is the most crucial factor in portfolio creation. As machine learning technique is advancing, new possibilities have…”
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An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products Autor Zhang, Yuzhen, Ma, Jun, Liang, Shunlin, Li, Xisheng, Li, Manyao

“…This study provided a comprehensive evaluation of eight machine learning regression algorithms for forest aboveground biomass (AGB…”
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Synchronous Machines Field Winding Turn-to-Turn Fault Severity Estimation Through Machine Learning Regression Algorithms Autor Guillen, Carlos Eduardo Gonzalez, de Porras Cosano, Antonio Mateos, Tian, Pengfei, Diaz, Javier Colmenares, Zarzo, Alejandro, Platero, Carlos A.

“… The synchronous machine can operate with a certain interturn fault severity level. This paper presents a new field winding interturn fault severity estimation method based on machine learning regression algorithms…”
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Machine Learning Regression Algorithms for Shear Strength Prediction of SFRC-DBs: Performance Evaluation and Comparisons Autor Maabreh, Majdi, Almasabha, Ghassan

“… an up-to-date database of 170 SFRC-DBs, where eleven popular machine learning regression algorithms are evaluated…”
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Aboveground biomass estimation of black locust planted forests with aspect variable using machine learning regression algorithms Autor Ye, Quanping, Yu, Shichuan, Liu, Jinliang, Zhao, Qingxia, Zhao, Zhong

“…•Aspect was incorporated as a variable into three MLAs and compared to estimate forest AGB.•Models with the aspect variable showed a reduced estimation error…”
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Estimating rainfed groundnut’s leaf area index using Sentinel-2 based on Machine Learning Regression Algorithms and Empirical Models Autor Ekwe, Michael Chibuike, Adeluyi, Oluseun, Verrelst, Jochem, Kross, Angela, Odiji, Caleb Akoji

“… The study tests the performance of multiple machine learning regression algorithms (MLRAs) and empirical vegetation indices…”
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Predicting the tensile properties of heat treated and non-heat treated LPBFed AlSi10Mg alloy using machine learning regression algorithms Autor Jatti, Vijaykumar S., Saiyathibrahim, A., Yadav, Arvind, R., Murali Krishnan, Jayaprakash, B., Kaushal, Sumit, Jatti, Vinaykumar S., Jatti, Ashwini V., Jatti, Savita V., Kumar, Abhinav, Gouadria, Soumaya, Bonyah, Ebenezer

“…In this study, the ability of machine learning algorithms to predict tensile properties of both heat-treated and non-heat treated LPBFed AlSi10Mg alloy is…”
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Machine learning regression algorithms for generating chemical element maps from X-ray fluorescence data of paintings Autor Ruiz de Miras, Juan, Gacto, María José, Blanc, María Rosario, Arroyo, Germán, López, Luis, Torres, Juan Carlos, Martín, Domingo

“… We tested MHD versus eight machine learning regression algorithms on two paintings with different…”
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Dry biomass estimation of paddy rice with Sentinel-1A satellite data using machine learning regression algorithms Autor Mansaray, Lamin R., Zhang, Kangyu, Kanu, Adam Sheka

“…•For the entire growing season, VV is more consistent with rice dry biomass than VH.•For the entire growing season, VHVV produced more accurate rice biomass…”
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Evaluation and improvement of temporal robustness and transfer performance of surface soil moisture estimated by machine learning regression algorithms Autor Jiaxin, Qian, Jie, Yang, Weidong, Sun, Lingli, Zhao, Lei, Shi, Chaoya, Dang

“…•Upper and lower limits on the accuracy of soil moisture estimation are evaluated using advanced regression models with multi-source data.•The three proposed…”
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A Practical Method for Red-Edge Band Reconstruction for Landsat Image by Synergizing Sentinel-2 Data with Machine Learning Regression Algorithms Autor Zhang, Yuan, Fan, Zhekui, Yan, Wenjia, Ge, Chentian, Sun, Huasheng

“…Red-edge bands are the most essential spectral data for multispectral remote sensing images, with them playing a critical role in monitoring vegetation growth…”
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Machine learning regression algorithms to predict emissions from steam boilers Autor Ross-Veitía, Bárbara D., Palma-Ramírez, Dayana, Arias-Gilart, Ramón, Conde-García, Rebeca E., Espinel-Hernández, Alejandro, Nuñez-Alvarez, José R., Hernández-Herrera, Hernan, Llosas-Albuerne, Yolanda E.

“…Currently, the modeling of complex chemical-physical processes is drastically influencing industrial development. Therefore, the analysis and study of the…”
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Comparison of Machine Learning Regression Algorithms for Cotton Leaf Area Index Retrieval Using Sentinel-2 Spectral Bands Autor Mao, Huihui, Meng, Jihua, Ji, Fujiang, Zhang, Qiankun, Fang, Huiting

“… Five state-of-the-art machine learning regression algorithms (MLRAs), namely, artificial neural network (ANN…”
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Analysis of Learning Analytics using Machine Learning Regression Algorithms Autor Salman, Husain, Almohsin, Eman, AlRawi, AbdulRahman, Aliif Ahmad, Muhammad, Shatnawi, Safwan

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Machine learning regression algorithms for predicting muscle, bone, carcass fat and commercial cuts in hairless lambs Autor Monteiro, Samanta do Nascimento, Pereira, Alinne Andrade, Freitas, Carolina Sarmanho, Serrão, Gabriel Xavier, de Sousa, Marco Antônio Paula, Lima, Alyne Cristina Sodré, Daher, Luciara Celi da Silva Chaves, Rodrigues, Thomaz Cyro Guimarães de Carvalho, da Silva, Welligton Conceição, da Silva, Éder Bruno Rebelo, Silva, André Guimarães Maciel e, Bezerra da Silva, Andréia Santana, Silva, Jamile Andréa Rodrigues da, Lourenco-Junior, José de Brito

“…The growth in demand and demand for quality in the sheep chain has generated the need for automation techniques in the meat industry and the need to obtain…”
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