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Showing 20 of 23,220 academic articles
Dakang Guo, Jiatao Wang, Zeyuan Lin, Youfu Liu et al. • Poultry Science
(2026)
In the stereoscopic cage-rearing system, monitoring the individual egg production of laying ducks is essential for identifying low-yield individuals and optimizing breeding management. To overcome the high deployment cost of multi-sensor mo...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.psj.2026.106479
Manasa Kesapragada, Yao-Hui Sun, Ksenia Zlobina, Cynthia Recendez et al. • Frontiers in Cell and Developmental Biology
(2024)
Macrophages can exhibit pro-inflammatory or pro-reparatory functions, contingent upon their specific activation state. This dynamic behavior empowers macrophages to engage in immune reactions and contribute to tissue homeostasis. Understand...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcell.2024.1259037
Feng Xiong, Jintao Wang, Guohua Zhang, Xueming Shi et al. • Advances in Civil Engineering
(2024)
In the construction of the civil engineering infrastructure, the noise and vibration are affected by the geological conditions, adopting specific construction techniques based on the geological conditions is of great significance in suppres...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2024/3599911
Opeyemi Bamigbade, Mark Scanlon, John Sheppard • IEEE Access
(2025)
Embeddings remain the best way to represent image features, but do not always capture all latent information. This is still a problem in representation learning, and computer vision descriptors struggle with precision and accuracy. Improvin...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3564496
Shuoye Chen, Rei Shiina, Kazushi Nakai, Tatsuya Awano et al. • Journal of Wood Science
(2023)
Abstract To predict the mechanical properties of wood in the transverse direction, this study used machine learning to extract the anatomical features of wood from cross-sectional stereograms. Specimens with different orientations of the ra...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s10086-023-02096-z
Ze Si, Dongmei Fu, Yang Liu, Zhicheng Huang • IET Image Processing
(2021)
Abstract Diabetic retinopathy (DR) is the main reason that causes preventable blindness. Hard exudate is one of the earliest signs of diabetic retinopathy. Precise detection of hard exudate is helpful for the early diagnosis of diabetic ret...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12007
Wenan Yuan • Data
(2024)
As one of the most important topics in contemporary computer vision research, object detection has received wide attention from the precision agriculture community for diverse applications. While state-of-the-art object detection frameworks...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/data9020036
Zhanping Song, Zifan Yang, Runke Huo, Yuwei Zhang • Applied Sciences
(2023)
With the rise of the fourth industrial revolution, traditional methods of analyzing investment have been transformed into intelligent methods under big data and the Internet of Things. This has created a new approach to solving practical en...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app13095454
Roberto Manduchi, James M. Coughlan • Communications of the ACM
(2011)
Computer vision holds great promise for helping persons with blindness or visual impairments (VI) to interpret and explore the visual world. To this end, it is worthwhile to assess the situation critically by understanding the actual needs ...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/2063176.2063200
PMC: 3398697
Shuyuan Xu, Jun Wang, Wenchi Shou, Tuan Ngo et al. • Archives of Computational Methods in Engineering
(2020)
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Open Access
DOI: https://doi.org/10.1007/s11831-020-09504-3
Xiong Zhihui • InTech eBooks
(2008)
This book presents research trends on computer vision, especially on application of robotics, and on advanced approachs for computer vision (such as omnidirectional vision). Among them, research on RFID technology integrating stereo vision ...
OPENALEX
Open Access
DOI: https://doi.org/10.5772/72
Manas Kamal Bhuyan • CRC Press eBooks
(2019)
The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image form...
OPENALEX
DOI: https://doi.org/10.1201/9781351248396
Victor Wiley, Thomas Lucas • International Journal of Artificial Intelligence Research
(2018)
Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics. The wide usage has attracte...
OPENALEX
cc-by-sa
DOI: https://doi.org/10.29099/ijair.v2i1.42
Larry H. Matthies, Mark W. Maimone, Andrew Johnson, Yang Cheng et al. • International Journal of Computer Vision
(2007)
OPENALEX
DOI: https://doi.org/10.1007/s11263-007-0046-z
Yoshiaki Shirai • Springer eBooks
(1987)
OPENALEX
DOI: https://doi.org/10.1007/978-3-642-82429-6
Peter Meer, Doron Mintz, Azriel Rosenfeld, Dong Yoon Kim • International Journal of Computer Vision
(1991)
OPENALEX
DOI: https://doi.org/10.1007/bf00127126
Ben G. Weinstein • Journal of Animal Ecology
(2017)
A central goal of animal ecology is to observe species in the natural world. The cost and challenge of data collection often limit the breadth and scope of ecological study. Ecologists often use image capture to bolster data collection in t...
OPENALEX
Open Access
DOI: https://doi.org/10.1111/1365-2656.12780
Song Chun Zhu, Ying Nian Wu • Springer eBooks
(2023)
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DOI: https://doi.org/10.1007/978-3-030-96530-3
Gaudenz M. Danuser • Cell
(2011)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/j.cell.2011.11.001
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...
OPENALEX
Open Access
DOI: https://doi.org/10.1561/9781680832136