Results 201 to 210 of about 42,350,204 (257)

Character level attention siamese networks for Chinese handwriting comparison. [PDF]

PLoS One
Zhu L, Tang L, Mao H.
europepmc   +1 more source

Digital Transition and Mental Health in School Settings: Does Handwriting Still Matter? A Multidisciplinary Perspective. [PDF]

Children (Basel)
Marano G, Di Giacomi O, Hasaj S, Traversi G, Mazza O, Cangini A, Mazza M.   +6 more
europepmc   +1 more source

Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis. [PDF]

Front Big Data
Shahariar Parvez AHM, Samiul Islam M, Al Farid F, Yeasmin T, Islam MM, Azam MS, Uddin J, Abdul Karim H.   +7 more
europepmc   +1 more source

Interface Engineering for Scalable Optoelectronic Reservoir Computing. [PDF]

Small
Zheng K, Li Y, Li T, Luo C, Wang Y, Song Y, Ye C, Yin S, Zou X, Liao L, Yang R.   +10 more
europepmc   +1 more source

Application of Computer Vision to the Automated Extraction of Metadata from Natural History Specimen Labels: A Case Study on Herbarium Specimens. [PDF]

Plants (Basel)
Zacchigna J, Liu W, Pellegrino FA, Peron A, Roma-Marzio F, Peruzzi L, Martellos S.   +6 more
europepmc   +1 more source

Task-aware cross-modal refinement and liquid fusion for text-visual grounding. [PDF]

Front Artif Intell
Li Z, Wang C, Pang Y, Xin J, Zhang J, Sun Y.   +5 more
europepmc   +1 more source

Leveraging Digitization, Archiving and Artificial Intelligence to Re-examine Predictors of Sustained Mental Health Care Engagement in Ugandan First-Episode Psychosis Patients: A Study Protocol

Mwesiga EK, Akena D, Nakigudde J, Aujo BT, Ndigamanya RI, Nanteza A, Mark M, Kaggwa AK, Balinga S, Nanyonga A, Mutamba BB, Auma R, Kebirungi E, Lukwata H, Oyat PP, Ssembajjwe W.   +15 more
europepmc   +1 more source

Deep convolutional neural network for isolated Arabic handwritten character recognition: design, evaluation, and comparative study. [PDF]

Sci Rep
Attar ET.
europepmc   +1 more source

Convolutional neural network and AI technology for colleges and universities students' achievement performance prediction. [PDF]

Sci Rep
Liu J, Yang Y.
europepmc   +1 more source