Results 11 to 20 of about 2,426 (116)
Entropy-Based Bagging for Fault Prediction of Transformers Using Oil-Dissolved Gas Data
Energies, 2011 The development of the smart grid has resulted in new requirements for fault prediction of power transformers. This paper presents an entropy-based Bagging (E-Bagging) method for prediction of characteristic parameters related to power transformers ...
Weigen Chen +4 more
doaj +1 more source
Performance Analysis of Classification Algorithms on Birth Dataset
IEEE Access, 2020 Generating intuitions from data using data mining and machine learning algorithms to predict outcomes is useful area of computing. The application area of data mining techniques and machine learning is wide ranging including industries, healthcare ...
Syed Ali Abbas +6 more
doaj +1 more source
Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning
IEEE Access, 2020 Deep neural networks (DNNs) require a large amount of manually labeled training data to make significant achievements. However, manual labeling is laborious and costly.
Juae Kim, Youngjoong Ko, Jungyun Seo
doaj +1 more source
Effect of Different Fruit Bags on Fruit Quality of 'Cuiguan' Pear
Guangdong nongye kexue, 2023 【Objective】By comparing the quality of 'Cuiguan' pear fruits under five different bag treatments, from which the bag that can improve the appearance quality of fruits and has less impact on the internal quality of the fruits was selected, with an aim to ...
Jinghan FENG +5 more
doaj +1 more source
RolexBoost: A Rotation-Based Boosting Algorithm With Adaptive Loss Functions
IEEE Access, 2020 We propose a new ensemble algorithm, called RolexBoost (Rotation-Flexible AdaBoost) that can not only secure diversity within an ensemble by rotating the feature axes in conjunction with performing the random subspace method for each bootstrap sample ...
Dong-Hyuk Yang +2 more
doaj +1 more source
Preharvest fruit bagging time regulates postharvest quality and shelf life of dragon fruit (Hylocereus spp.) [PDF]
International Journal of Minor Fruits, Medicinal and Aromatic Plants, 2021 Appropriate bagging time is imperative for effective use of fruit bagging technology in safe fruit production. A study was conducted at the Germplasm Centre of Bangladesh Agricultural University (BAU-GPC), Mymensingh during May 2018 to September 2019 ...
Md. Mokter Hossain1
doaj +1 more source
Sensors, 2022 The performance of a six-axis force/torque sensor (F/T sensor) severely decreased when working in an extreme environment due to its sensitivity to ambient temperature. This paper puts forward an ensemble temperature compensation method based on the whale
Xuhao Li +5 more
doaj +1 more source
Airway pressure changes during "bag squeezing"
South African Journal of Physiotherapy, 1980 Pressure data during controlled ventilation on a ventilator, "bagging” and slow “bagging” are reviewed. The technique for effective “bagging” is suggested.
I. Hack, A. Katz, C. Eales
doaj +1 more source
Sensors, 2020 The distinction between subject-dependent and subject-independent performance is ubiquitous in the human activity recognition (HAR) literature. We assess whether HAR models really do achieve better subject-dependent performance than subject-independent ...
Sebastian Scheurer +3 more
doaj +1 more source
Machine Learning, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources