Results 151 to 160 of about 1,068,320 (275)

Sleep staging through an unsupervised learning lens. [PDF]

Patterns (N Y)
Christopoulos A, Tzovara A.
europepmc   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +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

Fostering Multidisciplinary Collaboration in Artificial Intelligence and Machine Learning Education: Tutorial Based on the AI-READI Bootcamp.

JMIR Med Educ
Nishihara TW, Kalaw FGP, Engmann A, Motoyoshi A, Mensah-Kane P, Gupta D, Patronilo V, Zangwill LM, Hallaj S, Panahi A, Cottrell GW, Voytek B, de Sa VR, Baxter SL.   +13 more
europepmc   +1 more source

Machine Learning in Medical Imaging (Lecture Notes in Computer Science 7588)

Machine Learning in Medical Imaging (Lecture Notes in Computer Science 7588)
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

OCTOID: A Soft Robotic System Featuring Programmable Shape Morphing and Dynamic Structural Coloration

Advanced Functional Materials, EarlyView.
Inspired by octopuses, actuating legs based on soft materials are fabricated with programmed chiroptical properties and mechanical behaviors to achieve dynamic color modulation and reversible shape morphing, and these legs are developed into a modular OCTOID system.
Seung Hui Han, Seok‐In Lim, Ki‐Hyun Ryu, Sang Seok Lee, Dong‐Gue Kang, Jahyeon Koo, Kwang‐Un Jeong, Shin‐Hyun Kim, Dae‐Yoon Kim   +8 more
wiley   +1 more source

Decision Support Systems in Neurosurgery: Current Applications and Future Directions. [PDF]

Sensors (Basel)
Koryciński M, Ciecierski KA, Niewiadomska-Szynkiewicz E.   +2 more
europepmc   +1 more source

A Machine Learning Approach to Predict Retention of Computer Science Students at University of Nevada, Las Vegas

, 2020
Sudhir Deshmukh
openalex   +1 more source

Machine Learning in Medical Imaging (Lecture Notes in Computer Science 7009)

Machine Learning in Medical Imaging (Lecture Notes in Computer Science 7009)
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source