Results 201 to 210 of about 257,916 (299)
Empirical Likelihood-Based ANOVA for Trimmed Means. [PDF]
Velina M, Valeinis J, Greco L, Luta G.
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
A Reliability Test of a Complex System Based on Empirical Likelihood. [PDF]
Zhou Y, Fu L, Zhang J, Hui Y.
europepmc +1 more source
Two-sample empirical likelihood method
The empirical likelihood method is applied to the two-sample problem and is shown to be Bartlett correctable.Bartlett correction Coverage accuracy Empirical likelihood Two-sample ...
Jing, Bing-Yi
core
Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley +1 more source
An alternative empirical likelihood method in missing response problems and causal inference. [PDF]
Ren K +6 more
europepmc +1 more source
Jackknife-blockwise empirical likelihood methods under dependence
Empirical likelihood for general estimating equations is a method for testing hypothesis or constructing confidence regions on parameters of interest.
Zhang, Rongmao +2 more
core
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
An empirical likelihood ratio test robust to individual heterogeneity for differential expression analysis of RNA-seq. [PDF]
Xu M, Chen L.
europepmc +1 more source

