Results 101 to 110 of about 543,991 (343)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Is It Sufficient to Select the Optimal Class Number Based Only on Information Criteria in Fixed- and Random-Parameter Latent Class Discrete Choice Modeling Approaches?

Econometrics
Heterogeneity in preferences can be addressed through various discrete choice modeling approaches. The random-parameter latent class (RLC) approach offers a desirable alternative for analysts due to its advantageous properties of separating classes with ...
Péter Czine, Péter Balogh, Zsanett Blága, Zoltán Szabó, Réka Szekeres, Stephane Hess, Béla Juhász   +6 more
doaj   +1 more source

Identifying Latent Structures in Restricted Latent Class Models

Journal of the American Statistical Association, 2018
This paper focuses on a family of restricted latent structure models with wide applications in psychological and educational assessment, where the model parameters are restricted via a latent structure matrix to reflect pre-specified assumptions on the latent attributes.
Gongjun Xu, Zhuoran Shang
openaire   +1 more source

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

Selection Strategies for Flexible Pressure Sensor Electrode Materials Toward Ultrafast Response

Advanced Functional Materials, EarlyView.
This study reveals, for the first time, how the electrode–organic interface governs the temporal performance of flexible pressure sensors. By pairing high‐conductivity CVD PEDOT with commonly used metal electrodes, the authors demonstrate that interfacial energy alignment dictates microsecond‐scale response, providing a straightforward design strategy ...
Jinwook Baek, Yuxuan Zhang, Hyeondong Yang, Minyoung Kim, Pavlos P. Vlachos, Jeongok Choe, Bo‐Gyu Bok, Kejie Zhao, Han‐Wook Song, Min‐Seok Kim, Martin Byung‐Guk Jun, Sunghwan Lee   +11 more
wiley   +1 more source

Valuing Consumer Preferences with the CUB Model: A CaseStudy of Fair Trade Coffee

International Journal on Food System Dynamics, 2010
D'Elia and Piccolo (2005) have recently proposed a mixture distribution, named CUB, for ordinal data. The use of such a mixture distribution for modelling ratings is justified by the following consideration: the judgment that a subject expresses is the ...
Gianni Cicia, Marcella Corduas, Teresa Del Giudice, Domenico Piccolo   +3 more
doaj  

A Nonparametric Multidimensional Latent Class IRT Model in a Bayesian Framework [PDF]

, 2017
Francesco Bartolucci, Alessio Farcomeni, Luisa Scaccia   +2 more
openalex   +1 more source

Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models [PDF]

, 2020
Alessio Farcomeni, Monia Ranalli, Sara Viviani   +2 more
openalex   +1 more source

Evaluation of diagnostic test procedures for SARS‐CoV‐2 using latent class models [PDF]

, 2022
Jacob Stærk‐Østergaard, Carsten Kirkeby, Lasse Engbo Christiansen, Michael Aagaard Andersen, Camilla Holten Møller, Marianne Voldstedlund, Matthew Denwood   +6 more
openalex   +1 more source

A Bayesian latent class model for predicting gestational age in health administrative data. [PDF]

Pharm Stat, 2022
Wang S, Puggioni G, Wen X.
europepmc   +1 more source