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Academic Articles & Research Papers
Showing 20 of 547 academic articles
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf (2019)
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a single dataset. This approach requires a large number of training examples and performs best for well-defined a...
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DOI: https://doi.org/10.18653/v1/n19-5004
• Elsevier eBooks
(2000)
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DOI: https://doi.org/10.1016/b978-0-12-379777-3.x5000-6
Sumaira Ghazal, Arslan Munir, Waqar Shahid Qureshi • Artificial Intelligence in Agriculture
(2024)
The transformation of age-old farming practices through the integration of digitization and automation has sparked a revolution in agriculture that is driven by cutting-edge computer vision and artificial intelligence (AI) technologies. Thi...
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DOI: https://doi.org/10.1016/j.aiia.2024.06.004
Koichi Ito, Filip Biljecki • Transportation Research Part C Emerging Technologies
(2021)
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Open Access
DOI: https://doi.org/10.1016/j.trc.2021.103371
Piotr M. Szczypiński, Artur Klepaczko, Piotr Zapotoczny • Computers and Electronics in Agriculture
(2014)
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DOI: https://doi.org/10.1016/j.compag.2014.09.016
Paul J. Besl • Proceedings of the IEEE
(1988)
Geometric matching algorithms and geometric representations are examined for point sets, curves, surfaces, volumes, and their space-time trajectories. The author focuses mainly on general-purpose techniques. Geometric matching benefits grea...
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DOI: https://doi.org/10.1109/5.5966
Milagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler et al. • ACM Conference on Fairness, Accountability, and Transparency (FAccT)
(2021)
In industrial computer vision, discretionary decisions surrounding the production of image training data remain widely undocumented. Recent research taking issue with such opacity has proposed standardized processes for dataset documentatio...
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DOI: https://doi.org/10.1145/3442188.3445880
David Alexander Forsyth, Joseph L. Mundy, Vito Di Gesù, Roberto Cipolla • Lecture notes in computer science
(1999)
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DOI: https://doi.org/10.1007/3-540-46805-6
Hutchison, David, Naor, Moni, Takeo Kanade A, Kittler, Josef et al. • Lecture notes in computer science
(2009)
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DOI: https://doi.org/10.1007/978-3-642-01811-4
Tadhg Brosnan, Da‐Wen Sun • Computers and Electronics in Agriculture
(2002)
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DOI: https://doi.org/10.1016/s0168-1699(02)00101-1
• Elsevier eBooks
(2019)
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DOI: https://doi.org/10.1016/c2017-0-02153-5
• Lecture notes in computer science
(2013)
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DOI: https://doi.org/10.1007/978-3-642-39402-7
Khalid M. Hosny, Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza • Intelligent Systems with Applications
(2024)
The COVID-19 virus is causing a global pandemic. The total number of new coronavirus cases worldwide by the end of November 2020 had already surpassed 60 million. The World Health Organization (WHO) has determined that wearing masks is a cr...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iswa.2024.200391
Shahab Eshghi, Fatemeh Nabati, Shaghayegh Shafaghi, Vahid Nooraeefar et al. • Scientific Reports
(2022)
Abstract Despite extensive research on the biomechanics of insect wings over the past years, direct mechanical measurements on sensitive wing specimens remain very challenging. This is especially true for examining delicate museum specimens...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-022-17859-9
Xue Xia, Xiujuan Chai, Ning Zhang, Zhao Zhang et al. • Agronomy
(2022)
Exact yield estimation of fruits on plants guaranteed fine and timely decisions on harvesting and marketing practices. Automatic yield estimation based on unmanned agriculture offers a viable solution for large orchards. Recent years have w...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/agronomy12020440
Haitam Ettazi, Najat Rafalia, Jaafar Abouchabaka • Proceedings on Engineering Sciences
(2023)
In the field of deep learning, a convolutional neural network is a class of artificial neural networks that became dominant in various computer vision tasks, which is widely used to solve complex problems in various areas, including driver ...
DOAJ
Open Access (DOAJ)
DOI: 10.24874/PES05.03.017
Yumin Zhang, Yanyong Wang • EURASIP Journal on Image and Video Processing
(2025)
Abstract Due to the rapid advances in computer vision and deep learning, human action recognition has become one of the most important representative tasks for video understanding. Especially for human action recognition based on RGB-D data...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13640-025-00677-0
Tahiyah Nou‐Shene, Vikramkumar Pudi, K. Sridharan, Vineetha Thomas et al. • IET Computer Vision
(2015)
Autonomous vehicles engaged in terrain exploration are typically equipped with a camera. The camera is subjected to vibration as the vehicle moves so that the videos captured require stabilisation to facilitate accurate interpretation by re...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2014.0120
Eduardo D. Piedad Jr., Ricky B. Villeta • Recoletos Multidisciplinary Research Journal
(2016)
Using a camera for measurement reading is simplified through the incorporation of computer vision application. The variations in the environment’s setting, however, may constitute to the occurrence of measurement errors. A study investigate...
DOAJ
Open Access (DOAJ)
DOI: https://doi.org/10.32871/rmrj1604.01.06
Grzegorz Mrugacz, Aleksandra Mospinek, Małgorzata Jagielska, Dariusz Miszczak et al. • Biology
(2025)
Background: Artificial Intelligence (AI) has emerged as a transformative tool in in vitro fertilization (IVF) as it has done in other sectors. In IVF, AI offers advancements in embryo selection, treatment personalization, and outcome predic...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/biology15010042