Results 41 to 50 of about 8,339 (216)

Bio‐Plausible Multimodal Learning with Emerging Neuromorphic Devices

Advanced Science
Multimodal machine learning, as a prospective advancement in artificial intelligence, endeavors to emulate the brain's multimodal learning abilities with the objective to enhance interactions with humans.
Haonan Sun, Haoxiang Tian, Yihao Hu, Yi Cui, Xinrui Chen, Minyi Xu, Xianfu Wang, Tao Zhou   +7 more
doaj   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

AR moulded-objects performing Giuseppe Verdi's 200th birthday

Archeomatica, 2014
"Muri e Divisioni" è una mostra collettiva di arte contemporanea. Una call for artists è stata organizzata da Accademia delle Arti di Macerata, un'organizzazione locale no-profit composta da 40 artisti, per raccogliere opere adeguate per la mostra.
Giuliana Guazzaroni, Mirco Compagno
doaj  

Causal Meta-Reinforcement Learning for Multimodal Remote Sensing Data Classification

Remote Sensing
Multimodal remote sensing data classification can enhance a model’s ability to distinguish land features through multimodal data fusion. In this context, how to help models understand the relationship between multimodal data and target tasks has become ...
Wei Zhang, Xuesong Wang, Haoyu Wang, Yuhu Cheng   +3 more
doaj   +1 more source

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

Learners’ continuance intention in multimodal language learning education: An innovative multiple linear regression model

Heliyon
Confronted with the unprecedented COVID-19 pandemic, millions of learners have received, are receiving, or will receive multimodal language learning education.
Yan Huang, Wei Xu, Paisan Sukjairungwattana, Zhonggen Yu   +3 more
doaj   +1 more source

Reggio Emilia and the arts approach: Two exceptional examples of multimodal learning in early years

Journal of Global Education and Research, 2019
The Reggio Emilia approach offers children a unique experience of self-exploration embedded in the arts. This has strong links with multimodal teaching and learning.
Fadumo Aden, Evgenia Theodotou
doaj   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

Advanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim, Junseo Lee, Kwang‐Hun Choi, Seongil Im, Jae Hong Kim, Changsoon Choi, Junghwan Byun, Changhwan Shin, Ho Won Jang, Hyunsu Ju, Jung Ah Lim   +10 more
wiley   +1 more source

Uni2Mul: A Conformer-Based Multimodal Emotion Classification Model by Considering Unimodal Expression Differences with Multi-Task Learning

Applied Sciences, 2023
Multimodal emotion classification (MEC) has been extensively studied in human–computer interaction, healthcare, and other domains. Previous MEC research has utilized identical multimodal annotations (IMAs) to train unimodal models, hindering the learning
Lihong Zhang, Chaolong Liu, Nan Jia
doaj   +1 more source

Multimodal Conception in Learning

ISLLAC : Journal of Intensive Studies on Language, Literature, Art, and Culture, 2018
This article aims to formulate a multimodal conception in the learning hierarchy. This exposure is based on three things, namely: (1) Multimodal definitions vary, (2) Higher education curriculum, and (3) Findings of research on multimodal utilization in learning.
openaire   +3 more sources