Results 71 to 80 of about 92,198 (268)

Oversampling-based balanced modulator

Electronics Letters, 1991
A new balanced modulator is presented which uses a pulse density modulated sine wave as carrier. The use of oversampling improves the spectral performance for low frequency signal processing, at the cost of extra logic in the carrier generation circuit. The modulator permits the generation of arbitrary carrier frequencies.
P. O'Leary, MALOBERTI, FRANCO
openaire   +2 more sources

An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants

Applications in Plant Sciences, EarlyView.
Abstract Premise Plants are frequently exposed to combinations of abiotic and biotic stresses that pose a greater threat to yield and productivity than individual stresses. However, knowledge of the impact of many stress combinations in numerous plants is limited due to the lack of experimental data, which could take decades to generate.
Piyush Priya, Prachi Pandey, Rubi Jain, Manu Kandpal, Shradha Jain, Rim Chaudhury, Venkategowda Ramegowda, Muthappa Senthil‐Kumar   +7 more
wiley   +1 more source

A systematic study of the class imbalance problem in convolutional neural networks

, 2018
In this study, we systematically investigate the impact of class imbalance on classification performance of convolutional neural networks (CNNs) and compare frequently used methods to address the issue.
Buda, Mateusz, Maki, Atsuto, Mazurowski, Maciej A.   +2 more
core   +1 more source

Per‐ and Polyfluoroalkyl Substances and Hand Osteoarthritis: Data From the Osteoarthritis Initiative

Arthritis &Rheumatology, EarlyView.
Objective To explore whether biologic levels of specific per‐ and polyfluoroalkyl substances (PFAS) and a mixture of PFAS—reflecting the overall effect and accounting for correlations among PFAS—relate to incident hand osteoarthritis (HOA) and progression.
Jeffrey B. Driban, Lisa B. Rokoff, Bing Lu, Timothy E. McAlindon, Charles B. Eaton, Mary B. Roberts, Diana Mathes, Colleen Lestician, Zhijin Carrie Xu, Zhihua Tina Fan, Shawn P. O'Leary, Ida K. Haugen, Jérémie Sellam, Alice Courties, Abby F. Fleisch   +14 more
wiley   +1 more source

Per‐ and polyfluoroalkyl substances and knee osteoarthritis: data from the Osteoarthritis Initiative

Arthritis &Rheumatology, Accepted Article.
Objective To examine whether concentrations of specific per‐ and polyfluoroalkyl substances (PFAS) and a mixture of PFAS relate to incident knee osteoarthritis (KOA) and knee pain progression. Methods Among a case‐cohort sample from the Osteoarthritis Initiative (n=1,878), we examined associations of serum concentrations of 8 PFAS with odds of ...
Jeffrey B. Driban, Lisa B. Rokoff, Bing Lu, Timothy E. McAlindon, Charles B. Eaton, Mary B. Roberts, Diana Mathes, Colleen Lestician, Zhijin Carrie Xu, Zhihua Tina Fan, Shawn P. O'Leary, Ida K. Haugen, Jérémie Sellam, Alice Courties, Abby F. Fleisch   +14 more
wiley   +1 more source

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim, Tarek Zayed, Zoubeir Lafhaj, Ahmed Maged, Ahmed Farouk Kineber, Jingchao Yang   +5 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms

Entropy, 2020
In the era of a large number of tools and applications that constantly produce massive amounts of data, their processing and proper classification is becoming both increasingly hard and important.
Weronika Wegier, Pawel Ksieniewicz
doaj   +1 more source

Machine learning‐based prediction of elevated N terminal pro brain natriuretic peptide among US general population

ESC Heart Failure, Volume 12, Issue 2, Page 859-868, April 2025.
Abstract Aims Natriuretic peptide‐based pre‐heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre‐heart failure, has not been well established.
Yuichiro Mori, Shingo Fukuma, Kyohei Yamaji, Atsushi Mizuno, Naoki Kondo, Kosuke Inoue   +5 more
wiley   +1 more source

The Crest factor for trigonometric polynomials. Part I: Approximation theoretical estimates

Journal of Numerical Analysis and Approximation Theory, 2001
The Chebyshev norm of a degree n trigonometric polynomial is estimated against a discrete maximum norm based on equidistant sampling points where, typically, oversampling rather than critical sampling is used. The bounds are derived from various methods
K. Jetter, G. Pfander, G. Zimmermann
doaj   +2 more sources