Results 101 to 110 of about 148,752 (225)
Interpolation algorithms and image data artifacts [PDF]
Interpolation, or resampling coefficients, which are generated from low pass filter Fourier transforms yield more accurate resampled values than those obtained using cubic spline techniques.
Forman, M. L.
core +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
Advanced Intelligent Discovery, EarlyView.We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Questionable Claims for Simple Versions of the Bootstrap
Journal of Statistics Education, 2019 Recent years have seen increasing interest in incorporating resampling methods into introductory statistics courses and the high school mathematics curriculum.
Robert W. Hayden
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source
RegCGAN: Resampling with Regularized CGAN for Imbalanced Big Data Problem
AxiomsWe consider the imbalanced data problem involving a new class of resampling-based models for classification. These models are variants of the conditional generative adversarial networks.
Liwen Xu, Ximeng Wang
doaj +1 more source
Markov chain approximation in bootstrapping autoregressions [PDF]
We propose a bootstrap algorithm for autoregressions based on the approximation of the data generating process by a finite state discrete Markov chain.
Andrey Vasnev, Stanislav Anatolyev
core
Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models
Advanced Intelligent Systems, EarlyView.Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses +3 more
wiley +1 more source
Applied SciencesCredit risk is one of the most important issues in the rapidly growing and developing finance sector. This study utilized a dataset containing real information about the bill payments of individuals who made transactions with a payment institution ...
Cem Bulut, Emel Arslan
doaj +1 more source
Asymptotics in Minimum Distance from Independence Estimation [PDF]
In this paper we introduce a family of minimum distance from independence estimators, suggested by Manski's minimum mean square from independence estimator.
Donald J. Brown, Marten H. Wegkamp
core
Advanced Intelligent Systems, EarlyView.This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source