Results 71 to 80 of about 36,988 (280)

Speech frame sensitivity based on mean square error criterion [PDF]

, 2011
The mean square error is time domain measure used to assess the speech quality. This objective measure can be used for discarding extra packets, only those packets may be discarded obtain the lowest MSE among all active users.
Shah, Asadullah, Shah, Zoya
core  

Estimates of the mean square error associated with R₀ estimates.

, 2022
Table A: Estimates of the mean square error associated with R0 estimates. Column 2 shows the mean square error of R0, as calculated using the default approach against R0 calculated using study-specific seroprevalence data.
Emilia Vynnycky (565037), Timos Papadopoulos (12191181)   +1 more
core   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

Standardized mean square error (MSE) and standardized bias for corrected (Corr.) and uncorrected (Unc.) variance estimates from the bias-correction simulations.

, 2015
Standardized mean square error (MSE) and standardized bias for corrected (Corr.) and uncorrected (Unc.) variance estimates from the bias-correction simulations.
Patrick J. Monnahan (735483), John K. Kelly (117806)   +1 more
core   +1 more source

stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics

Advanced Science, EarlyView.
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang, Yan Wang, Luonan Chen, Chunman Zuo   +3 more
wiley   +1 more source

MMSE-based waveform design for the distributed MIMO radar in spectrally crowded environments

The Journal of Engineering, 2019
This study investigates the waveform design problem for a distributed multiple-input-multiple-output (MIMO) radar operating in spectrally crowded environments.
Bo Tang, Ning Zhang, Shuo Zhang, Zhongrui Huang   +3 more
doaj   +1 more source

Bootstrap Approximation to Prediction MSE for State-Space Models with Estimated Parameters

, 2004
We propose a simple but general bootstrap method for estimating the Prediction Mean Square Error (PMSE) of the state vector predictors when the unknown model parameters are estimated from the observed series.
Pfeffermann, Danny, Tiller, Richard
core   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Quantitative Assessment of Brix in Grafted Melon Cultivars: A Machine Learning and Regression-Based Approach

Foods
The article demonstrates the Brix content of melon fruits grafted with different varieties of rootstock using Support Vector Regression (SVR) and Multiple Linear Regression (MLR) model approaches.
Uğur Ercan, Ilker Sonmez, Aylin Kabaş, Onder Kabas, Buşra Calık Zyambo, Muharrem Gölükcü, Gigel Paraschiv   +6 more
doaj   +1 more source