Results 21 to 30 of about 8,729,244 (299)
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2020 Background Although most newly presenting patients with pulmonary hypertension (PH) have elevated pulmonary artery wedge pressure, identification of so‐called postcapillary PH can be challenging.
Samara M. A. Jansen +23 more
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Logging-based prediction of organic geochemical parameters in oil shale during thermal evolution using the XGBoost algorithm [PDF]
Oil ShaleOil shale in large basins undergoes multiple evolutionary stages, limiting the applicability of a single logging-based prediction model. This study focuses on the oil shale of the Qingshankou Formation in the Songliao Basin, using gamma ray (GR), deep ...
Lianxin Tao +5 more
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CoRR, 2020 In this work we address the problem of predicting the model of a camera based on the content of their photographs. We use two set of features, one set consist in properties extracted from a Discrete Wavelet Domain (DWD) obtained by applying a 4 level Fast Wavelet Decomposition of the images, and a second set are Local Binary Patterns (LBP) features ...
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Toward Advancing Long-Term Outcomes of Kidney Transplantation with Artificial Intelligence
Transplantology, 2021 After decades of pioneering advances and improvements, kidney transplantation is now the renal replacement therapy of choice for most patients with end-stage kidney disease (ESKD).
Raúl Castillo-Astorga +1 more
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Prediction Algorithm for State Prediction Model
Journal of Computers, 2012 Dynamic Bayesian network is the extension of Bayesian network in solving time series problems .It can be well dealt with the time-varying multivariable problem. A state model is given based on Dynamic Bayesian network. The model can more accurately describe the relationship between the system state and the influencing factors.
Zili Zhang +3 more
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Agronomy, 2023 Adequate management of agricultural crops requires, among other things, accessible and sufficiently accurate methods for assessing plant nutrition and crop vegetation status and for agricultural production estimation.
Florin Sala, Mihai Valentin Herbei
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Clinical and Translational Gastroenterology, 2014 Prediction research is becoming increasing popular; however, the differences between traditional explanatory research and prediction research are often poorly understood, resulting in a wide variation in the methodologic quality of prediction research.
Waljee, Akbar K +2 more
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Predictive modeling of complications [PDF]
Current Reviews in Musculoskeletal Medicine, 2016 Predictive analytic algorithms are designed to identify patterns in the data that allow for accurate predictions without the need for a hypothesis. Therefore, predictive modeling can provide detailed and patient-specific information that can be readily applied when discussing the risks of surgery with a patient.
Osorio, Joseph A +2 more
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Manufacturing Execution System Specific Data Analysis-Use Case With a Cobot
IEEE Access, 2018 The purpose of this research is to analyze and upgrade the performances of the Baxter intelligent robot, through data mining methods. The case study belongs to the robotics domain, being integrated in the context of manufacturing execution systems and ...
Delia Mitrea, Levente Tamas
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Application of ANN and ANFIS Models in Determining Compressive Strength of Concrete [PDF]
Journal of Soft Computing in Civil Engineering, 2018 Concrete compressive strength is recognized as one of the most important mechanical properties of concrete and one of the most significant mechanical properties in determining the quality of the produced concrete.
Zahra Keshavarz, Hojjatollah Torkian
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