Results 151 to 160 of about 1,464,312 (342)

An Empirical Evaluation of Five Small Area Estimators [PDF]

This paper compares five small area estimators. We use Monte Carlo simulation in the context of both artificial and real populations. In addition to the direct and indirect estimators, we consider the optimal composite estimator with population weights ...
Albert Satorra, Alex Costa, Eva Ventura
core  

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

A Rule-based Model of a Hypothetical Zombie Outbreak: Insights on the\n role of emotional factors during behavioral adaptation of an artificial\n population [PDF]

, 2012
F. Nuñez, C. Ravello, H. Urbina, T. Perez-Acle   +3 more
openalex   +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

An artificial intelligence based app for skin cancer detection evaluated in a population based setting [PDF]

, 2023
Anna M. Smak Gregoor, Tobias E. Sangers, Lytske Bakker, Loes M. Hollestein, Carin A. Uyl‐de Groot, Tamar Nijsten, Marlies Wakkee   +6 more
openalex   +1 more source

The Anisotropic Adsorption of De Novo Allosteric Two‐Component Protein Fibers on Mica Surfaces

Advanced Functional Materials, EarlyView.
In this study, the interfacial behavior of de novo designed proteins that self‐assemble into tubular architectures with distinct morphologies — small (S), large (L), and helical (H) fibers — at the muscovite mica‐water interface is explored using in situ AFM. Abstract Protein adsorption at solid–liquid interfaces underlies many biomedical and materials
Chenyang Shi, Hao Shen, Yuna Bae, Jaeyoung Heo, Shuai Zhang, Lehan Yao, David Baker, James J De Yoreo   +7 more
wiley   +1 more source

Predicting host species susceptibility to influenza viruses and coronaviruses using genome data and machine learning: a scoping review

Frontiers in Veterinary Science
IntroductionPredicting which species are susceptible to viruses (i.e., host range) is important for understanding and developing effective strategies to control viral outbreaks in both humans and animals.
Famke Alberts, Olaf Berke, Olaf Berke, Olaf Berke, Leilani Rocha, Sheila Keay, Grazieli Maboni, Zvonimir Poljak, Zvonimir Poljak   +8 more
doaj   +1 more source

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

The art of compensation: How hybrid teams solve collective-risk dilemmas.

PLoS ONE
It is widely known how the human ability to cooperate has influenced the thriving of our species. However, as we move towards a hybrid human-machine future, it is still unclear how the introduction of artificial agents in our social interactions affect ...
Inês Terrucha, Elias Fernández Domingos, Francisco C Santos, Pieter Simoens, Tom Lenaerts   +4 more
doaj   +1 more source

Population structure and genetic diversity of the threatened pygmy newt Triturus pygmaeus in a network of natural and artificial ponds [PDF]

, 2022
Eva M. Albert, Vicente García‐Navas
openalex   +1 more source