Showing 20 of 2,239 academic articles
• Kybernetes
(2001)
OPENALEX
DOI: https://doi.org/10.1108/k.2001.30.9_10.1333.2
Wassim Bouachir, Koffi Eddy Ihou, Houssem-Eddine Gueziri, Nizar Bouguila et al. • IEEE Access
(2019)
Mechanical site preparation by mounding is often used by the forest industry to provide optimal growth conditions for tree seedlings. Prior to planting, an essential step consists in estimating the number of mounds at each planting block, w...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2923765
Diego Patrício, Rafael Rieder • Computers and Electronics in Agriculture
(2018)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/j.compag.2018.08.001
Lijie Geng, Pengji Yan, Zhikun Ji, Chunyu Song et al. • Journal of Cotton Research
(2024)
Abstract Background The lint percentage of seed cotton is one of the most important parameters for evaluating seed cotton quality and affects its price. The traditional measuring method of lint percentage is labor-intensive and time-consumi...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s42397-024-00178-x
Wenlin Yan, Xianxin Jiang, Ping Liu • IEEE Access
(2023)
Artificial Intelligence (AI) has promising applications in basketball shooting analysis, as it can help basketball athletes improve their shooting techniques and accuracy, thereby enhancing the effectiveness of both games and training sessi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3304631
Noor Fatima, Hasan Faraz Khan, Muzammil Behzad • IEEE Access
(2026)
The rapid proliferation of AI-generated and manipulated visual content requires forensic detectors that remain reliable after routine processing and deliberate counter-forensic modification. This paper presents an attack-aware deepfake dete...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3734573
Cheng‐Jin Du, Da‐Wen Sun • Journal of Food Engineering
(2005)
OPENALEX
DOI: https://doi.org/10.1016/j.jfoodeng.2004.11.017
Simon Stoerzer, Klinto Xhemo, Felix Gronau, Linda Feldbruegge et al. • Patient Safety in Surgery
(2026)
Abstract Background Retained surgical items are classified as never events but continue to occur, and the count meant to prevent them is often recorded as correct even when an item is retained. Computer vision could provide an independent c...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13037-026-00512-z
Mauro Lo Brutto, Paola Meli • International Journal of Heritage in the Digital Era
(2012)
In archaeological Cultural Heritage study 3D modelling has become a very useful process to obtain indispensable data for documentation and visualization. Nowadays the continuous request to achieve photorealistic 3D models has led to testing...
OPENALEX
Open Access
DOI: https://doi.org/10.1260/2047-4970.1.0.1
V. G. Dhanya, Anakkallan Subeesh, Nand Lal Kushwaha, Dinesh Kumar Vishwakarma et al. • Artificial Intelligence in Agriculture
(2022)
The agriculture industry is undergoing a rapid digital transformation and is growing powerful by the pillars of cutting-edge approaches like artificial intelligence and allied technologies. At the core of artificial intelligence, deep learn...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.aiia.2022.09.007
Bogusław Cyganek, Jan Paul Siebert • Wiley eBooks
(2009)
present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; \n explain scale-space vision, as well as space reconstruction and multiview integration; \n demonstrate a va...
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DOI: https://doi.org/10.1002/9780470699720
Robert M. Haralick, Linda G. Shapiro • Pattern Recognition
(1991)
OPENALEX
DOI: https://doi.org/10.1016/0031-3203(91)90117-n
Hugo Jair Escalante, Sérgio Escalera, Isabelle Guyon, Xavier Baró et al. • The Springer series on challenges in machine learning
(2018)
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Open Access
DOI: https://doi.org/10.1007/978-3-319-98131-4
David J. White, Cato Svellingen, Norval J. C. Strachan • Fisheries Research
(2006)
OPENALEX
DOI: https://doi.org/10.1016/j.fishres.2006.04.009
Yaguang Guo, Qi Zou, Lu Jin • IET Computer Vision
(2021)
Abstract Because of the popularisation of high‐resolution images, detecting objects in these images quickly and accurately has attracted increasing attention in recent studies. Current convolutional neural networks (CNN)‐based detection met...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cvi2.12042
Anthony Masinton, James Jago • British Art Studies
(2020)
Crafting a digital reconstruction of a lost space is a process of rediscovery and exploration. The nature of the evidence determines the form of the reconstruction, providing a sketch of what is known about the space. The process of reconst...
DOAJ
Open Access (DOAJ)
DOI: 10.17658/issn.2058-5462/issue-16/amasinton
Saja Sadiq Bakhit, Saleem Lateef, Ali Al-Naji • Journal of Engineering
(2026)
Manual medication dispensing in pharmacies remains prone to human errors and is time-intensive, particularly under high patient loads, while existing commercial automation solutions are cost-prohibitive for small to medium-sized pharmacy se...
DOAJ
Open Access (DOAJ)
DOI: 10.31026/j.eng.2026.08.02
Buhari Salisu • International Journal of AI and Advanced Computing
(2026)
The rapid advancement of Artificial Intelligence (AI), wearable computing, and Internet of Things (IoT) technologies has significantly transformed digital interactions across various sectors. However, the adoption of smart wearable technolo...
DOAJ
Open Access (DOAJ)
DOI: 10.5281/zenodo.21981139
Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park • Journal of Healthcare Engineering
(2018)
The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...
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cc-by
DOI: https://doi.org/10.1155/2018/5157020
PMC: 5857319
Zhangnan Wu, Yajun Chen, Bo Zhao, Xiaobing Kang et al. • Sensors
(2021)
Weeds are one of the most important factors affecting agricultural production. The waste and pollution of farmland ecological environment caused by full-coverage chemical herbicide spraying are becoming increasingly evident. With the contin...
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cc-by
DOI: https://doi.org/10.3390/s21113647
PMC: 8197187