Results 41 to 50 of about 93,524 (286)

Early Detection of Asymptomatic Covid-19 Infection with Artificial Neural Network Model Through Voice Recording of Forced Cough

JOIV: International Journal on Informatics Visualization, 2023
SARS-CoV-2 is a virus that spreads the infection known as COVID-19, or Coronavirus 2019. According to data from the World Health Organization as of March 15, 2021, Indonesia has 1,419,455 cumulative cases and 38,426 cumulative deaths, ranking third among
Aisyah Khairun Nisa, I Gede Pasek Suta Wijaya, Arik Aranta   +2 more
doaj   +1 more source

Capacity Outer Bound and Degrees of Freedom of Wiener Phase Noise Channels with Oversampling

, 2017
The discrete-time Wiener phase noise channel with an integrate-and-dump multi-sample receiver is studied. A novel outer bound on the capacity with an average input power constraint is derived as a function of the oversampling factor. This outer bound
Barletta, Luca, Rini, Stefano
core   +1 more source

The Synthetic-Oversampling Method: Using Photometric Colors to Discover Extremely Metal-Poor Stars [PDF]

, 2015
Extremely metal-poor (EMP) stars ([Fe/H] < -3.0 dex) provide a unique window into understanding the first generation of stars and early chemical enrichment of the Universe.
Miller, A. A.
core   +3 more sources

Signal and System Approximation from General Measurements

, 2014
In this paper we analyze the behavior of system approximation processes for stable linear time-invariant (LTI) systems and signals in the Paley-Wiener space PW_\pi^1.
A.J. Jerri, A.M. Olevskii, A.N. Kolmogorov, B.Y. Levin, C.E. Shannon, D. Hilbert, F. Schipp, H. Boche, H. Boche, H. Boche, J.R. Higgins, J.R. Higgins, J.R. Partington, L. Franks, M. Goldenbaum, N.J. Fine, P.J.S.G. Ferreira, P.J.S.G. Ferreira, P.J.S.G. Ferreira, P.L. Butzer, P.L. Butzer, P.L. Butzer, P.L. Butzer, P.L. Butzer, P.L. Butzer, P.L. Butzer, P.L. Butzer, R. Landauer, R. Landauer, R.L. Stens, R.M. Young, R.P. Boas, R.P. Feynman, S.J. Szarek, W. Sun, W. Sun, W. Sun, Z. Song   +37 more
core   +1 more source

On the peak-to-average power of OFDM signals based on oversampling [PDF]

, 2003
Orthogonal frequency-division multiplexing (OFDM) introduces large amplitude variations in time, which can result in significant signal distortion in the presence of nonlinear amplifiers.
Gharavi-Alkhansari, Mohammad, Kalaj, Babak H., Sharif, Masoud   +2 more
core   +1 more source

LoRAS: an oversampling approach for imbalanced datasets [PDF]

Machine Learning, 2020
AbstractThe Synthetic Minority Oversampling TEchnique (SMOTE) is widely-used for the analysis of imbalanced datasets. It is known that SMOTE frequently over-generalizes the minority class, leading to misclassifications for the majority class, and effecting the overall balance of the model.
Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer   +4 more
openaire   +3 more sources

A 13-bit, 2.2-MS/s, 55-mW multibit cascade ΣΔ modulator in CMOS 0.7-μm single-poly technology [PDF]

, 1999
This paper presents a CMOS 0.7-μm ΣΔ modulator IC that achieves 13-bit dynamic range at 2.2 MS/s with an oversampling ratio of 16. It uses fully differential switched-capacitor circuits with a clock frequency of 35.2 MHz, and has a power consumption of ...
Medeiro Hidalgo, Fernando, Pérez Verdú, Belén, Rodríguez Vázquez, Ángel Benito   +2 more
core   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

MWMOTE-FRIS-INFFC: An Improved Majority Weighted Minority Oversampling Technique for Solving Noisy and Imbalanced Classification Datasets

Applied Sciences
In view of the data of fault diagnosis and good product testing in the industrial field, high-noise unbalanced data samples exist widely, and such samples are very difficult to analyze in the field of data analysis.
Dong Zhang, Xiang Huang, Gen Li, Shengjie Kong, Liang Dong   +4 more
doaj   +1 more source

Generative Adversarial Minority Oversampling [PDF]

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Codes are available at https://github.com/SankhaSubhra ...
Sankha Subhra Mullick, Shounak Datta, Swagatam Das   +2 more
openaire   +2 more sources