Results 171 to 180 of about 1,119,408 (283)
A cautious user's guide in applying HMMs to physical systems. [PDF]
Schweiger M, Saurabh A, Pressé S.
europepmc +1 more source
Model‐Inversion‐Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory
Schematic and key features of the proposed forward‐forward physical unclonable neural network (FF‐PUNN), incorporating a concealable physical unclonable function (PUF) layer and forward‐forward (FF) learning. ABSTRACT The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and ...
Sung‐Ho Park +8 more
wiley +1 more source
A Review: Construction of Statistical Distributions. [PDF]
Fang KT, Lin YX, Deng YH.
europepmc +1 more source
Iodine incorporation into the CdS buffer layer induces spontaneous anion diffusion and selectively passivates selenium vacancies in Sb2Se3 absorbers. The formation of low‐energy, charge‐neutral ISe defects effectively suppresses non‐radiative recombination, resulting in a substantially enhanced open‐circuit voltage and boosting the device efficiency to
Luyan Shen +6 more
wiley +1 more source
Optimal designs for discrete-time survival models with competing risks. [PDF]
Zhou X, Wang Y, Yue R, Wong WK.
europepmc +1 more source
The development of polarization‐sensitive ultraviolet photodetectors is limited by poor heterojunction quality and low polarization sensitivity. This study integrates synthesized CsAg2I3 single crystals with intrinsic non‐centrosymmetry into van der Waals heterojunction devices, demonstrating pronounced pyro‐phototronic effect.
Yalin Zhai +9 more
wiley +1 more source
Optimizing sleep scheduling in wireless sensor networks via node utility and critical target prioritization. [PDF]
Wu J, Tian S, Qi X, Cai Z, Wang P.
europepmc +1 more source
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang +6 more
wiley +1 more source
Generative modelling of continuous feature foraging reveals probabilistic representations of target distributions. [PDF]
Fuller JCM +3 more
europepmc +1 more source
SPARK decodes structure‐property relationships in anion exchange membranes (AEMs) via a chemically informed dual‐channel graph attention network (DEGAT) that explicitly captures microphase separation. It outputs five‐level grades for hydroxide conductivity and alkaline stability and highlights relevant key structural units, enabling robust pre ...
Wanting Chen +6 more
wiley +1 more source

