Search alternatives:
x detection » _ detection (Expand Search), i detection (Expand Search), b detection (Expand Search)
multiple x » multiple co (Expand Search), multiple gc (Expand Search), multiple low (Expand Search)
x detection » _ detection (Expand Search), i detection (Expand Search), b detection (Expand Search)
multiple x » multiple co (Expand Search), multiple gc (Expand Search), multiple low (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
Confusion matrix.
Published 2024“…The objective of this study is to identify an effective and predictive ML algorithm to evaluate the detection of treatment success in PTB patients and to compare the predictive performance of the ML models. …”
-
8
Baseline characteristics of TB patients.
Published 2024“…The objective of this study is to identify an effective and predictive ML algorithm to evaluate the detection of treatment success in PTB patients and to compare the predictive performance of the ML models. …”
-
9
This is a minimal dataset for this analysis.
Published 2024“…The objective of this study is to identify an effective and predictive ML algorithm to evaluate the detection of treatment success in PTB patients and to compare the predictive performance of the ML models. …”
-
10
-
11
-
12
-
13
-
14
-
15
-
16
Trypsin Digestion Conditions of Human Plasma for Observation of Peptides and Proteins from Tandem Mass Spectrometry
Published 2024“…The MS/MS spectra were directly fit to peptides by the X!TANDEM and SEQUEST algorithms. Blank noise injections served as the analytical control, and 30 million random MS/MS served as the statistical control. …”
-
17
-
18
Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks
Published 2025“…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …”
-
19
Seasonal adjustment of time series observed at mixed frequencies using singular value decomposition with wavelet thresholding
Published 2025“…Using both simulated and real data, we find that (i) when the seasonality is moderate or strong our proposed method performs well and correctly detects the underlying seasonality structure; and (ii) for single frequency time series, the performance of our proposed method compares well with those of the traditional X-12-ARIMA and SEATS methods, especially in the case when the seasonality is strong.…”
-
20
A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors
Published 2024“…<p dir="ltr">Primary malignant bone tumors are the third highest cause of cancer-related mortality among patients under the age of 20. X-ray scan is the primary tool for detecting bone tumors. …”