Suchergebnisse - "Forecasting algorithm"

A multi-method forecasting algorithm: Linear unbiased estimation of combine forecast von Bekiroglu, Korkut, Gulay, Emrah, Duru, Okan

“… The methodology space consists of various linear and non-linear as well as univariate and multivariate forecasting algorithms frequently used in the literature and industrial practice …”
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Forecasting Algorithm Based on Temperature Error Prediction Using Kalman Filter for Management System Development von Bogdanovs, N, Belinskis, R, Bistrovs, V, Petersons, E, Ipatovs, A

“… prediction algorithm. This algorithm vastly increases the accuracy of the short-term forecast of outdoor air temperature, which is subject to uncertainty due to the stochastic nature of atmospheric processes …”
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Neural Network Forecasting Algorithm as a Tool for Assessing Human Capital Trends of the Socio-Economic System von Ketova, Karolina, Vavilova, Diana

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Research on Cargo Volume Prediction in Logistics Sorting Centers Based on ARIMA-LSTM Forecasting Algorithm von Jin, Mingjun

“… This paper presents a study on the prediction of cargo volumes in 57 logistics sorting centers using the ARIMA-LSTM forecasting algorithm …”
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Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal von Liu, Chengyuan, Vehí, Josep, Avari, Parizad, Reddy, Monika, Oliver, Nick, Georgiou, Pantelis, Herrero, Pau

“… , an artificial pancreas), still remain a challenge. In this paper, we present a novel glucose forecasting algorithm that is well-suited for long-term prediction horizons …”
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Semi-supervised training data selection improves seizure forecasting in canines with epilepsy von Nasseri, Mona, Kremen, Vaclav, Nejedly, Petr, Kim, Inyong, Chang, Su-Youne, Jo, Hang Joon, Guragain, Hari, Nelson, Nathaniel, Patterson, Edward, Sturges, Beverly K., Crowe, Chelsea M., Denison, Tim, Brinkmann, Benjamin H., Worrell, Gregory A.

“… •Proposed method was tested in iEEG from 6 dogs with naturally-occurring epilepsy.•Clustering approach resulted in significantly lower FPR for 4 subjects (p < 0.001 …”
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Forecasting seizure clusters from chronic ambulatory electrocorticography von Ilyas, Adeel, Hoffman, Clarissa, Vakilna, Yash, Chaliyeduth, Sreekanth, Muhlhofer, Wolfgang, Riley, Kristen O., Dabaghian, Yuri, Lhatoo, Samden D., Pati, Sandipan

“… The objective of this feasibility study was to evaluate the performance of a novel seizure cluster forecasting algorithm …”
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A Modular Safety System for an Insulin Dose Recommender: A Feasibility Study von Liu, Chengyuan, Avari, Parizad, Leal, Yenny, Wos, Marzena, Sivasithamparam, Kumuthine, Georgiou, Pantelis, Reddy, Monika, Fernández-Real, José Manuel, Martin, Clare, Fernández-Balsells, Mercedes, Oliver, Nick, Herrero, Pau

“… The proposed safety system is composed of four modules which use a novel glucose forecasting algorithm …”
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Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study von Xiong, Wenjuan, Stirling, Rachel E., Payne, Daniel E., Nurse, Ewan S., Kameneva, Tatiana, Cook, Mark J., Viana, Pedro F., Richardson, Mark P., Brinkmann, Benjamin H., Freestone, Dean R., Karoly, Philippa J.

“… Seizure risk forecasting could reduce injuries and even deaths in people with epilepsy. There is great interest in using non-invasive wearable devices to …”
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Implementing Gait Kinematic Trajectory Forecasting Models on an Embedded System von Shayne, Madina, Molina, Leonardo A., Hu, Bin, Chomiak, Taylor

“… Forecasting through Recurrent Topology (FReT) represents a computationally lightweight time-series data forecasting algorithm with the ability to update and adapt to the input data structure that can predict complex dynamics …”
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Training size predictably improves machine learning-based epileptic seizure forecasting from wearables von Halimeh, Mustafa, Jackson, Michele, Loddenkemper, Tobias, Meisel, Christian

“… Here we sought to prospectively validate a previously implemented seizure forecasting algorithm using a larger cohort of pediatric patients with epilepsy (pwe …”
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A machine learning approach to forecast international trade: The case of Croatia von Jošić, Hrvoje, Žmuk, Berislav

“… (Gaussian processes, Linear regression, and Multilayer perceptron) have been used. Each forecasting algorithm is evaluated by calculating mean absolute percentage errors (MAPE). Results …”
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A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus von Rodríguez-Rodríguez, Ignacio, Rodríguez, José-Víctor, Woo, Wai Lok, Wei, Bo, Pardo-Quiles, Domingo-Javier

“… DM1 subjects usually have to undertake a number of assessments of blood glucose levels every day, employing capillary glucometers for the monitoring of blood glucose dynamics …”
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Model-based aging tolerant control with power loss prediction of Proton Exchange Membrane Fuel Cell von Bressel, Mathieu, Hilairet, Mickael, Hissel, Daniel, Ould Bouamama, Belkacem

“… Nevertheless, aging was never the subject of a particular attention concerning control. As a result, this paper proposes an aging tolerant control strategy for Proton Exchange Membrane Fuel Cells …”
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Unsupervised Clustering of HRV Features Reveals Preictal Changes in Human Epilepsy von Gagliano, L., Assi, E. Bou, Toffa, D. H., Nguyen, D. K., Sawan, M.

“… While electroencephalography (EEG) remains most popular for studying subject-specific epileptic precursors, dysfunctions of the autonomous nervous system, notably cardiac activity measured in heart rate variability (HRV …”
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Analysis and Application of Grey-Markov Chain Model in Tax Forecasting von Zhang, Huidi, Chen, Yimao

“… The key to correct tax forecasting is the choice of forecasting algorithm. Traditional tax forecasting methods, such as factor scoring method, factor regression method …”
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Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development von Askari, Salar

“… •RFCM algorithm removes drawbacks of the FCM algorithm.•RFCM algorithm eliminates interactions among clusters.•RFCM algorithm is suitable for data highly …”
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Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot studyResearch in context von Wenjuan Xiong, Rachel E. Stirling, Daniel E. Payne, Ewan S. Nurse, Tatiana Kameneva, Mark J. Cook, Pedro F. Viana, Mark P. Richardson, Benjamin H. Brinkmann, Dean R. Freestone, Philippa J. Karoly

“… Background: Seizure risk forecasting could reduce injuries and even deaths in people with epilepsy. There is great interest in using non-invasive wearable …”
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Strategic analysis and assessment of the export potential of regional agricultural products based on the use of foresight technologies von Stovba, Evgeniy, Luk'yanova, Milyausha

“… The article substantiates that it is advisable to use foresight technologies as an applied tool for solving problems of forming strategic priorities for the …”
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On the efficacy of the wisdom of crowds to forecast economic indicators von Siqueira Neto, Nilton S, Fontanari, José F

“… Hence the relevant subject of study nowadays is the Vox Expertorum rather than Galton's original Vox Populi …”
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