Results 141 to 150 of about 4,573,641 (310)
Comparing probabilistic methods for outlier detection. [PDF]
This paper compares the use of two posterior probability methods to deal with outliers in linear models. We show that putting together diagnostics that come from the mean-shift and variance-shift models yields a procedure that seems to be more effective ...
Guttman, Irwin, Peña, Daniel
core
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
wiley +1 more source
Rainbow plots, Bagplots and Boxplots for Functional Data [PDF]
We propose new tools for visualizing large numbers of functional data in the form of smooth curves or surfaces. The proposed tools include functional versions of the bagplot and boxplot, and make use of the first two robust principal component scores ...
Han Lin Shang, Rob J. Hyndman
core
The use of continuous drop‐based force and energy probing methods is introduced to evaluate in situ chemical degradation of super liquid‐repellent surfaces by caustic liquids. By tracking the velocity of rolling drops and energy dissipation of impacting drops, degradation dynamics are resolved under high spatio‐temporal precision. Using this technique,
Parham Koochak +2 more
wiley +1 more source
Quantum sensing reveals intricate patterns linking endo‐lysosomal maturation to cardiac fibrosis progression, highlighting complexity in cellular remodeling. This study investigates fibroblast‐to‐myofibroblast transition under cell aging, stiffness, and TGF‐β stimulation, comparing nanodiamond uptake, endo‐lysosomal dynamics, and free radical ...
Aldona Mzyk +3 more
wiley +1 more source
Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun +7 more
wiley +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Smart Grid Outlier Detection Based on the Minorization-Maximization Algorithm. [PDF]
Qiao L, Gao W, Li Y, Guo X, Hu P, Hua F.
europepmc +1 more source
Self‐Hybridized Exciton‐Polariton Photodetectors From Layered Metal‐Organic Chalcogenolates
Self‐hybridized exciton‐polariton photodetectors are demonstrated using high refractive index mithrene, eliminating the need for top mirrors. This simplified architecture enables tunable sub‐bandgap photodetection via lower exciton‐polariton states and enhanced carrier transport through ultrafast polariton group velocities.
Bongjun Choi +3 more
wiley +1 more source

