Results 111 to 120 of about 41,920 (287)
A speckle correlation centroid localization method (SCCLM) is proposed for non‐invasive tracking of an arbitrary deformable object through scattering media and around corners, requiring no prior information. Its effectiveness is demonstrated not only in tracking hidden objects beyond the memory effect region but also in following objects undergoing ...
Aiping Zhai +6 more
wiley +1 more source
Interval-valued bipolar complex fuzzy soft sets and their applications in decision making
In this manuscript we demonstrate interval-valued bipolar complex fuzzy set (IVBCFS) and then interval-valued bipolar complex fuzzy soft set (IVBCFSS), as a generalization of fuzzy set, interval-valued fuzzy set, bipolar fuzzy set, complex fuzzy set and ...
Abdul Jaleel +3 more
doaj +1 more source
After spinal cord injury, adult microglia remain persistently activated with chronic PRMT6 (protein arginine methyltransferase 6) upregulation. Prmt6 deficiency or inhibition reestablishes microglial homeostasis and promotes a scar‐limited repairment, enhancing axonal regrowth.
Weilin Peng +9 more
wiley +1 more source
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song +9 more
wiley +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
A Complete Model for Evaluation System Based on Interval-Valued Fuzzy Soft Set
Interval-valued fuzzy soft set-based decision making and the related parameter reduction algorithms were proposed. However, up to the present, few documents have focused the entire model for evaluation and decision making on real-life applications of ...
Hongwu Qin, Xiuqin Ma
doaj +1 more source
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source

