Search Results - "Regression algorithms"

A realizable and scale-consistent data-driven non-linear eddy viscosity modeling framework for arbitrary regression algorithms by Mandler, Hannes, Weigand, Bernhard

“…A data-driven modeling framework for non-linear eddy viscosity models is presented. In contrast to the majority of similar approaches, it splits the…”
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Universal Pre-Ejection Period Estimation Using Seismocardiography: Quantifying the Effects of Sensor Placement and Regression Algorithms by Ashouri, Hazar, Hersek, Sinan, Inan, Omer T.

“…Seismocardiography (SCG), the measurement of local chest vibrations due to the heart and blood movement, is a noninvasive technique to assess cardiac…”
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EEG-Based Motion Intention Detection for Robotic Rehabilitation: Evaluating Classification and Regression Algorithms by Khan, Abdul Manan, Khan, Fatima, Dwivedi, Anshu Kumar, Semwal, Vijay Bhaskar, Martha, Sheshikala, Bijalwan, Vishwanath

“… However, accurately understanding the desired motion intention (DMI) of the subjects is a significant challenge in providing effective robotic assistance…”
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Comparison of Regression Algorithms for the Retrieval of the Wet Tropospheric Path by Thao, Soulivanh, Eymard, Laurence, Obligis, Estelle, Picard, Bruno

“…This paper addresses the subject of the regression models used for the wet troposphere path delay correction for range measurements by satellite radar altimeters…”
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Quantifying performance of machine learning methods for neuroimaging data by Jollans, Lee, Boyle, Rory, Artiges, Eric, Banaschewski, Tobias, Desrivières, Sylvane, Grigis, Antoine, Martinot, Jean-Luc, Paus, Tomáš, Smolka, Michael N., Walter, Henrik, Schumann, Gunter, Garavan, Hugh, Whelan, Robert

“… Consequently, the relative efficacy of different machine learning regression algorithms for different types of neuroimaging data are not known…”
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Schrödinger spectrum based continuous cuff-less blood pressure estimation using clinically relevant features from PPG signal and its second derivative by Sarkar, Sayan, Ghosh, Aayushman

“… It predicts BP values using regression algorithms by processing reconstructed PPG signals’ spectral features, extracting clinically relevant PPG and its second derivative’s (SDPPG…”
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Privacy-Preserving Distributed Regression Algorithms for Analysis of Multi-Site Real-World Data by Edmondson, Mackenzie John

“…Real-world data, including electronic health records and administrative claims data, are widelyused in modern healthcare research to generate real-world…”
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Comparison of SVM, Naïve Bayes, and Logistic Regression Algorithms for Sentiment Analysis of Fraud and Bots in Purcashing Concert Ticket by Agresia, Vania, Suryono, Ryan Randy

“…Music concerts are highly anticipated entertainment events, but they are often subject to fraud and the use of bots in online ticket purchases, to the detriment of fans and organisers…”
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Internet and Computers for Agriculture

“…Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a…”
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Comparison of machine learning regression algorithms for foot placement prediction by Chen, Xinxing, Liu, Zijian, Zhu, Jiale, Zhang, Kuangen, Leng, Yuquan, Fu, Chenglong

“… This paper investigated three machine learning regression algorithms for foot placement prediction…”
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Evaluation of Regression Algorithms in Residential Energy Consumption Prediction by Schirmer, Pascal A., Mporas, Iosif, Potamitis, Ilyas

“… Residential consumers, in particular, are subject to investigation as they share a large proportion of the total consumed energy and have irregular components in their energy consumption signal…”
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Weather Variability Forecasting Model through Data Mining Techniques by Shekana, Sultan, Mulugeta, Addisu, Prasad, Durga

“…Climate and weather variability are thought-provoking for world communities. In this apprehension, weather variability imposes a broad impact on the economy…”
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Movement-Based Control for Upper-Limb Prosthetics: Is the Regression Technique the Key to a Robust and Accurate Control? by Legrand, Mathilde, Merad, Manelle, de Montalivet, Etienne, Roby-Brami, Agnès, Jarrassé, Nathanaël

“…Due to the limitations of myoelectric control (such as dependence on muscular fatigue and on electrodes shift, difficulty in decoding complex patterns or in…”
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Narrative economics using textual analysis of newspaper data: new insights into the U.S. Silver Purchase Act and Chinese price level in 1928–1936 by Hsu, Ching, Yu, Tina, Chen, Shu-Heng

“… Regularized regression algorithms are then applied on the narrative frequency data to identify narrative terms whose associated microeconomic activities have macroeconomic impact…”
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Non-invasive modeling of heart rate and blood pressure from a photoplethysmography by using machine learning techniques by Nidigattu, Govinda Rao, Mattela, Govardhan, Jana, Sayan

“…Cardiovascular diseases(CVD) is one of the major causes of deaths in the world, which may damage the endothelium cells which may lead to atherosclerosis and…”
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A greedy regression algorithm with coarse weights offers novel advantages by Jeffries, Clark D., Ford, John R., Tilson, Jeffrey L., Perkins, Diana O., Bost, Darius M., Filer, Dayne L., Wilhelmsen, Kirk C.

“…Regularized regression analysis is a mature analytic approach to identify weighted sums of variables predicting outcomes. We present a novel Coarse…”
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Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks by Edmondson, Mackenzie J, Luo, Chongliang, Nazmul Islam, Md, Sheils, Natalie E, Buresh, John, Chen, Zhaoyi, Bian, Jiang, Chen, Yong

“… Count data in practice are commonly subject to overdispersion, exhibiting greater variability than expected under a given statistical model…”
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A fuzzy granular logistic regression algorithm for sEMG-based cross-individual prosthetic hand gesture classification by Diao, Yanan, Chen, Qiangqiang, Liu, Yan, He, Linjie, Sun, Yue, Li, Xiangxin, Chen, Yumin, Li, Guanglin, Zhao, Guoru

“…)-based gesture classification has yielded rich results. Nonetheless, current gesture classification algorithms focus on the same subject, and cross-individual…”
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Risk Forecasting of Data Confidentiality Breach Using Linear Regression Algorithm by Korystin, Оleksandr, Nataliia, Svyrydiuk, Mitina, Olena

“… system’s subjects in Ukraine. In order to increase the representativeness of the research, based on the selection of reliable expert population, data cleaning is provided…”
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Cointegration strategy for damage assessment of offshore platforms subject to wind and wave forces by Kuai, H., Civera, M., Coletta, G., Chiaia, B., Surace, C.

“…In structural engineering, offshore structures are undoubtedly among the most exposed to the effects of harsh environmental conditions. The external conditions…”
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