Results 21 to 30 of about 7,181,199 (327)
Prediction of Interest Rate Using Artificial Neural Network and Novel Meta-Heuristic Algorithms [PDF]
Iranian Journal of Accounting, Auditing & Finance, 2021 One of the most parameters and variables in every economics is the interest rate. Government officials and lawmakers change interest rates for various purposes: controlling liquidity, inflation, and prices, Economic growth and development, lending, etc ...
Milad Shahvaroughi Farahani
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High-Speed Rail Tunnel Panoramic Inspection Image Recognition Technology Based on Improved YOLOv5
Sensors, 2023 In order to meet the fast and accurate automatic detection requirements of equipment maintenance in railway tunnels in the era of high-speed railways, as well as adapting to the high dynamic, low-illumination imaging environment formed by strong light at
Yixin Duan +4 more
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Loss Reserving Using Loss Aversion Functions [PDF]
SSRN Electronic Journal, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Choo, Weihao, De Jong, Piet
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Citrus Identification and Counting Algorithm Based on Improved YOLOv5s and DeepSort
Agronomy, 2023 A method for counting the number of citrus fruits based on the improved YOLOv5s algorithm combined with the DeepSort tracking algorithm is proposed to address the problem of the low accuracy of counting citrus fruits due to shading and lighting factors ...
Yuhan Lin +3 more
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Forecasting for Battery Storage: Choosing the Error Metric
Energies, 2021 We describe our approach to the Western Power Distribution (WPD) Presumed Open Data (POD) 6 MWh battery storage capacity forecasting competition, in which we finished second.
Colin Singleton, Peter Grindrod
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Remote Sensing, 2023 The deep learning technique has already been successfully applied in the field of microwave remote sensing. Especially, convolutional neural networks have demonstrated remarkable effectiveness in synthetic aperture radar (SAR) image semantic segmentation.
Rui Guo +4 more
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Inverted exponential distribution as a life distribution model from a Bayesian viewpoint
Data Science Journal, 2007 The Inverted Exponential Distribution is studied as a prospective life distribution. In this paper, we derive Bayes' estimators for the parameter θ of inverted exponential distribution.
Sanku Dey
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On the continued Erlang loss function [PDF]
, 1986 We prove two fundamental results in teletraffic theory. The first is the frequently conjectured convexity of the analytic continuation B(x, a) of the classical Erlang loss function as a function of x, x 0. The second is the uniqueness of the solution of
Doorn, Erik A. van, Jagers, A.A.
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ICIoU: Improved Loss Based on Complete Intersection Over Union for Bounding Box Regression
IEEE Access, 2021 An object detector based on convolutional neural network (CNN) has been widely used in the field of computer vision because of its simplicity and efficiency.
Xufei Wang, Jeongyoung Song
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Making Risk Minimization Tolerant to Label Noise [PDF]
, 2015 In many applications, the training data, from which one needs to learn a classifier, is corrupted with label noise. Many standard algorithms such as SVM perform poorly in presence of label noise.
Ghosh, Aritra +2 more
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