Results 101 to 110 of about 5,787,304 (258)
Speech frame sensitivity based on mean square error criterion [PDF]
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
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao +8 more
wiley +1 more source
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley +1 more source
*() standard error based on 1000 trials.Mean square error of .
Hung-Yi Lu (625937)
core +2 more sources
Adversarial defense for battery state-of-health prediction models
This study addresses the challenge of state of health (SOH) estimation for lithium-ion batteries using a generative graphical approach under adversarial conditions.
Masoumeh Mohammadi, Insoo Sohn
doaj +1 more source
Mean Squared Error (MSE) of the four interpolation methods.
Mean Squared Error (MSE) of the four interpolation methods.
Colin M. Beale (647716) +11 more
core +1 more source
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo +6 more
wiley +1 more source
In general, the incorporation of supplementary information reduces the Mean Square Error (MSE) and, consequently, enhances the precision of estimating a population parameter.
Khazan Sher +4 more
doaj +1 more source
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan +8 more
wiley +1 more source
In some instances, the size of the target population might exhibit significant variation. In the medical investigation, the number of individuals troubled with a certain infection and the scale of the medical facilities may differ.
Safar M. Alghamdi +5 more
doaj +1 more source

