Results 91 to 100 of about 111,551 (360)

Non-local Multi-continua Upscaling for Flows in Heterogeneous Fractured Media

, 2017
In this paper, we propose a rigorous and accurate non-local (in the oversampled region) upscaling framework based on some recently developed multiscale methods [10].
Chung, Eric T., Efendiev, Yalchin, Leung, Wing Tat, Vasilyeva, Maria, Wang, Yating   +4 more
core   +1 more source

Oversampling Errors in Multimodal Medical Imaging Are Due to the Gibbs Effect [PDF]

, 2021
Davide Poggiali, Diego Cecchin, Cristina Campi, Stefano De Marchı   +3 more
openalex   +1 more source

RanBALL: An Ensemble Machine Learning Framework for Accurate Subtype Identification of Pediatric B‐Cell Acute Lymphoblastic Leukemia

Advanced Intelligent Systems, EarlyView.
Here, we present RanBALL, an ensemble random projection‐based model for accurate and cost‐effective identification of B‐cell acute lymphoblastic leukemia subtypes is presented. By preserving patient‐to‐patient distance after dimension reduction by random projection and ensemble learning, RanBALL can facilitate the discovery of B‐ALL subtype‐specific ...
Lusheng Li, Hanyu Xiao, Xinchao Wu, Zhenya Tang, Joseph D. Khoury, Jieqiong Wang, Shibiao Wan   +6 more
wiley   +1 more source

Channel Measurement for Holographic MIMO: Benefits and Challenges of Spatial Oversampling [PDF]

, 2023
Tengjiao Wang, Yongxi Liu, Minglun Zhang, Wei E. I. Sha, Cen Ling, Chao Li, Shaobo Wang   +6 more
openalex   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source

Influence of Preprocessing Methods of Automated Milking Systems Data on Prediction of Mastitis with Machine Learning Models

AgriEngineering
Missing data and class imbalance hinder the accurate prediction of rare events such as dairy mastitis. Resampling and imputation are employed to handle these problems.
Olivier Kashongwe, Tina Kabelitz, Christian Ammon, Lukas Minogue, Markus Doherr, Pablo Silva Boloña, Thomas Amon, Barbara Amon   +7 more
doaj   +1 more source

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

Appraisal of Gene Expression‐Based Classifiers for Neuropsychiatric Disorders: A Meta‐Regression

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT A substantial body of research examines the potential of gene‐expression‐based biomarkers for diagnosing and selecting treatments for neuropsychiatric disorders, yet no clear consensus has been reached regarding the influence of controllable factors such as study design and model selection on the performance of gene‐expression‐based ...
Ali Razavi, Brittany Arensman, Eric J. Barnett, Leo A. Lee, Stephen V. Faraone, Stephen J. Glatt, Jonathan L. Hess   +6 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

OBMI: oversampling borderline minority instances by a two-stage Tomek link-finding procedure for class imbalance problem

Complex & Intelligent Systems
Mitigating the impact of class imbalance datasets on classifiers poses a challenge to the machine learning community. Conventional classifiers do not perform well as they are habitually biased toward the majority class.
Q. Leng, Jiamei Guo, Jiaqing Tao, Xiangfu Meng, Changzhong Wang   +4 more
semanticscholar   +1 more source