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Academic Articles & Research Papers
Showing 11 of 11 academic articles
Ning Li, Jincai Huang, Yanghe Feng • PLoS ONE
(2020)
BackgroundCognitive ability refers to the ability to receive, process, store, and extract information. It is the most important psychological condition for people to successfully complete activities. Previous studies have shown that the des...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0237339
Runze Li, Yibo Dong, Fengsong Qian, Yiyang Xie et al. • PhotoniX
(2023)
Abstract The rapid development of neuromorphic computing has stimulated extensive research interest in artificial synapses. Optoelectronic artificial synapses using laser beams as stimulus signals have the advantages of broadband, fast resp...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s43074-023-00082-8
Omid M. Omidvar • Ablex Pub. Corp. eBooks
(1991)
Receptive field calculus, Jan J. Koenderink visual reconstruction and data fusion, D. Suter visual perception of translational and rotational motion, Jim-Shih Liaw, Irwin K. King and Michael A. Arbib neural network for recovering observer m...
OPENALEX
Mrs. Arjoo Pandey • International Journal for Research in Applied Science and Engineering Technology
(2023)
Abstract: Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from images or videos. It involves developing algorithms and techniques to extract meaningful ...
OPENALEX
Open Access
DOI: https://doi.org/10.22214/ijraset.2023.54701
Mingming Tan, Tao Fang, Yingle Fan, Wei Wu et al. • IEEE Access
(2019)
The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors. It simulates th...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2945108
Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Lorraine Grauman • now publishers, Inc. eBooks
(2016)
Computer vision systems require large amounts of manually annotated data to properly learn challenging visual concepts. Crowdsourcing platforms offer an inexpensive method to capture human knowledge and understanding, for a vast number of v...
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Open Access
DOI: https://doi.org/10.1561/9781680832136
Bernd Jähne, Horst W. Haussecker, Peter Geißler (1999)
Contents of Volume One: Preface. Contributors. B. Jahne, Introduction. Illumination and Image Formation. H. Hausecker, Radiation. H. Hausecker, Interaction of Radiation with Matter. P. Geisler, Geometric and Wave Optics. H. Hausecker, Radio...
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Elena Guerini-Rocco, Chiara Frascarelli, Joana Sorino, Francesca Maria Porta et al. • Applied Sciences
(2026)
Designing an optimal digital pathology workspace is essential to ensure diagnostic accuracy and safeguard the long-term well-being of pathologists. While digital pathology improves reproducibility, facilitates multidisciplinary collaboratio...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16126021
Amin Madani, Babak Namazi, Maria S. Altieri, Daniel A. Hashimoto et al. • Annals of Surgery
(2020)
OBJECTIVE: The aim of this study was to develop and evaluate the performance of artificial intelligence (AI) models that can identify safe and dangerous zones of dissection, and anatomical landmarks during laparoscopic cholecystectomy (LC)....
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Open Access
DOI: https://doi.org/10.1097/sla.0000000000004594
PMC: 8186165
Marjana Dolšina Delač • Ars & Humanitas
(2026)
Teaching formal analysis in art history often reveals gaps between students’ visual perception and their analytical articulation. This study explores the pedagogical potential of AI image generators in art history education, focusing on the...
DOAJ
Open Access (DOAJ)
DOI: 10.4312/ars.20.1.159-177
Pohsun Wang, Wu Song, Junling Zhou, Yongsheng Tan et al. • Systems
(2023)
Confronting the age of artificial intelligence, exploring art through technology has become one of the directions of interdisciplinary development. Not only does artificial intelligence technology explore sustainability on a technical level...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/systems11030135