Search Results - Machine Learning Regression Algorithm

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

“… machine learning regression models fast and efficiently based on training data from a lookup table of synthetic vegetation…”
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The Impact of Undersampling on the Predictive Performance of Logistic Regression and Machine Learning Algorithms: A Simulation Study by Cartus, Abigail R, Bodnar, Lisa M, Naimi, Ashley I

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Machine learning embedded EM algorithms for semiparametric mixture regression models: Machine learning embedded EM algorithms by Xue, Jiacheng, Yao, Weixin, Xiang, Sijia

“…In this article, we propose two machine learning embedded algorithms for a class of semiparametric mixture models, where the mixing proportions and mean functions are unknown but smooth functions of covariates…”
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Waste-to-energy poly-generation scheme for hydrogen/freshwater/power/oxygen/heating capacity production; optimized by regression machine learning algorithms by Li, Shuguang, Leng, Yuchi, Abed, Azher M., Dutta, Ashit Kumar, Ganiyeva, Oqila, Fouad, Yasser

“… This research utilizes artificial intelligence's machine learning algorithms to examine and enhance a waste-to-energy system within a poly-generation energy system that generates hydrogen, freshwater…”
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CNN for a Regression Machine Learning Algorithm for Predicting Cognitive Impairment Using qEEG [Corrigendum] by Simfukwe, Chanda, Youn, Young Chul, Kim, Min-Jae, Paik, Joonki, Han, Su-Hyun

“…Simfukwe C, Youn YC, Kim MJ, Paik J, Han SH. Neuropsychiatr Dis Treat. 2023;19:851-863 The authors advise that the Acknowledgment section on page 861 is…”
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Estimating rainfed groundnut’s leaf area index using Sentinel-2 based on Machine Learning Regression Algorithms and Empirical Models by 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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Optimizing Pension Participation in Kenya through Predictive Modeling: A Comparative Analysis of Tree-Based Machine Learning Algorithms and Logistic Regression Classifier by Kemboi Yego, Nelson, Kasozi, Juma, Nkurunziza, Joseph

“… The study utilized three tree-based machine learning algorithms and a logistic regression classifier to analyze data from a nationally representative 2019 Kenya FinAccess Household Survey…”
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Analysis of Learning Analytics using Machine Learning Regression Algorithms by Salman, Husain, Almohsin, Eman, AlRawi, AbdulRahman, Aliif Ahmad, Muhammad, Shatnawi, Safwan

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Forecasting Solar PV Panel Performance Using Linear Regression and Stepwise Linear Regression Machine Learning Algorithms by Karimulla, Syed Mohammad, Ameer Hamza Yousuf, Boddu, Murali Krishna, Jaya Kumar Manickam Sam, Chandrashekar, Mahesh, Alias, Liya

“… This paper uses regression learner technique in machine learning for solar power prediction…”
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Applicability of statistical and machine learning–based regression algorithms in modeling of carbon dioxide emission in experimental pig barns by Basak, Jayanta Kumar, Kim, Na Eun, Shahriar, Shihab Ahmad, Paudel, Bhola, Moon, Byeong Eun, Kim, Hyeon Tae

“…) and weather sensors, respectively within the pig barns and the outside environment. The models were built using seven statistical and machine learning…”
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The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features by Cui, Zaixu, Gong, Gaolang

“…Individualized behavioral/cognitive prediction using machine learning (ML) regression approaches is becoming increasingly applied…”
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A New Typology Design of Performance Metrics to Measure Errors in Machine Learning Regression Algorithms by 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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Prognostication of treatment non-compliance among patients with multidrug-resistant tuberculosis in the course of their follow-up: a logistic regression–based machine learning algorithm by Anley, Denekew Tenaw, Akalu, Temesgen Yihunie, Dessie, Anteneh Mengist, Anteneh, Rahel Mulatie, Zemene, Melkamu Aderajew, Bayih, Wubet Alebachew, Solomon, Yenealem, Gebeyehu, Natnael Atnafu, Kassie, Gizachew Ambaw, Mengstie, Misganaw Asmamaw, Abebe, Endeshaw Chekol, Seid, Mohammed Abdu, Gesese, Molalegn Mesele, Moges, Natnael, Bantie, Berihun, Feleke, Sefineh Fenta, Dejenie, Tadesse Asmamaw, Adella, Getachew Asmare, Muche, Achenef Asmamaw

“… A logistic regression-based machine learning algorithm was used to develop a risk score for the prediction…”
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Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam by Dang, An Thi Ngoc, Nandy, Subrata, Srinet, Ritika, Luong, Nguyen Viet, Ghosh, Surajit, Senthil Kumar, A.

“…), a machine learning regression algorithm, to estimate forest aboveground biomass (AGB) in Yok Don National Park, Vietnam…”
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Synchronous Machines Field Winding Turn-to-Turn Fault Severity Estimation Through Machine Learning Regression Algorithms by 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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Application of Regression-Based Machine Learning Algorithms in Sewer Condition Assessment for Ålesund City, Norway by Nguyen, Lam Van, Seidu, Razak

“… This study explores the potential application of ten machine learning (ML) algorithms to predict sewer pipe conditions in Ålesund, Norway…”
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Evaluation of nine machine learning regression algorithms for calibration of low-cost PM2.5 sensor by Kumar, Vikas, Sahu, Manoranjan

“… This study has applied nine machine learning (ML) regression algorithms for Plantower PMS 5003 LCS calibration and compared their performance…”
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Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3 by 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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Predicting the Energetic Proton Flux with a Machine Learning Regression Algorithm by Stumpo, Mirko, Laurenza, Monica, Benella, Simone, Marcucci, Maria Federica

“…). In this context, artificial intelligence and machine learning techniques have opened a new frontier, providing a new paradigm for statistical forecasting algorithms…”
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A hybrid coupled cluster-machine learning algorithm: Development of various regression models and benchmark applications by Agarawal, Valay, Roy, Samrendra, Shrawankar, Kapil K, Ghogale, Mayank, Bharathi, S, Yadav, Anchal, Maitra, Rahul

“…)]. We develop a coupled cluster-machine learning hybrid scheme where various supervised machine learning strategies are introduced to establish the interdependence between the principal and auxiliary amplitudes on-the-fly…”
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