Results 141 to 150 of about 1,759,415 (331)

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Impact of Surface Functionalization on NV Quantum Properties: Implications for Biosensing with Fluorescent Nanodiamonds

Advanced Functional Materials, EarlyView.
Fluorescent nanodiamonds (fNDs) have emerged as an invaluable quantum sensing platform for biological and biochemical systems. This paper investigates the influence of common surface functionalization strategies for bioconjugation on the quantum properties of nitrogen vacancy (NV) centers in nanodiamonds.
Anja Sadžak, Iván Pérez, Mateja Guimarães, Lukas Spantzel, Fedor Jelezko, Michael Börsch, Anke Krueger   +6 more
wiley   +1 more source

Ensemble Linear Interpolators: The Role of Ensembling

SIAM Journal on Mathematics of Data Science
Interpolators are unstable. For example, the mininum $\ell_2$ norm least square interpolator exhibits unbounded test errors when dealing with noisy data. In this paper, we study how ensemble stabilizes and thus improves the generalization performance, measured by the out-of-sample prediction risk, of an individual interpolator.
Mingqi Wu, Qiang Sun
openaire   +2 more sources

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning

Frontiers in Neuroinformatics
Machine learning (ML) methodologies for detecting Mild Cognitive Impairment (MCI) are progressively gaining prevalence to manage the vast volume of processed information.
Alba Gómez-Valadés, Rafael Martínez-Tomás, Sara García-Herranz, Atle Bjørnerud, Atle Bjørnerud, Mariano Rincón   +5 more
doaj   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Engineering Relative Spatial Structure of Dual Atomic Sites with Asymmetric Coordination for High‐Performance Hydrogen Evolution Activity

Advanced Functional Materials, EarlyView.
Dual‐atom catalysts featuring varying spatial configurations of metal sites (Pt1Fe1 DACs) are employed to systematically investigate the influence of spatial arrangements on the electronic structure and catalytic activity of active sites. Notably, the 3D asymmetric Pt1Fe1‐TAC dimer, featuring strong interatomic interactions, demonstrates superior ...
Yi Guan, Xiaozhang Yao, Chuang Xue, Zhongxin Song, Xiangzhong Ren, Tsun‐Kong Sham, Li‐Min Liu, Lei Zhang, Xueliang Sun   +8 more
wiley   +1 more source

Single‐Crystalline Lateral p‐SnS/n‐SnSe van der Waals Heterostructures by Vapor Transport Growth with In Situ Bi Doping

Advanced Functional Materials, EarlyView.
In‐situ doping during growth of SnSe and subsequent attachment of SnS produces high‐quality lateral pn‐heterojunctions between van der Waals semiconductors. Electron beam induced current measurements demonstrate electrically active pn‐junctions, paving the way for devices that harness charge separation at lateral interfaces in layered heterostructures.
Peter Sutter, Valerio Piazza, Pramod Ghimire, Anna Fontcuberta i Morral, Eli Sutter   +4 more
wiley   +1 more source

Detection of Malicious Websites using a three model Ensemble Classifiers

Academy Journal of Science and Engineering
Malicious attacks are escalating along with the growth of internet users. As a result of that, it is making malware detection inefficient in the cybersecurity field.
Akolgo, E.A, Adekoya, A.F., Dennis Redeemer Korda, Dapaah, E.O.   +3 more
doaj  

On eigenvector statistics in the spherical and truncated unitary ensembles [PDF]

, 2021
Guillaume Dubach
openalex   +1 more source