Home »
Academic Articles & Research Papers
Showing 20 of 1,233 academic articles
Elouanes Khelifi, Amir Saki, Sousso Kelouwani, Usef Faghihi • Applied Food Research
(2026)
The production of processed foods and animal nutrition requires precise control over product characteristics to ensure consistent quality. Unexpected fluctuations in key parameters, particularly humidity, can lead to significant financial l...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.afres.2026.102698
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
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
Yuan Zi, Chenyu Zhou, Jiefu Chen, Zhu Han et al. • IEEE Access
(2025)
Efficient large-scale monitoring of methane emissions is crucial for sustainable environmental management, necessitating advanced remote sensing techniques that process hyperspectral imagery to provide detailed insights into the Earthȁ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3597991
Lucas Renato Trevisan, Lisiane Brichi, Tamara Maria Gomes, Fabrício Rossi • Remote Sensing
(2023)
Responsible for food production and industry inputs, agriculture needs to adapt to worldwide increasing demands and environmental requirements. In this scenario, black oat has gained environmental and economic importance since it can be use...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs15051363
Feiyu Liu, Wei Ji • Agriculture
(2026)
This paper presents the design of a high-efficiency apple harvesting robot based on a hybrid pneumatic-electric drive system, capable of operating around the clock. The robotic system comprises a mobile platform with two degrees of freedom ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/agriculture16050619
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
Rui Pimentel de Figueiredo, Stefan Nordborg Eriksen, Ignacio Rodriguez, Simon Bøgh • Automation
(2025)
Corrosion, a naturally occurring process leading to the deterioration of metallic materials, demands diligent detection for quality control and the preservation of metal-based objects, especially within industrial contexts. Traditional tech...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/automation6020023
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...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.aiia.2022.09.007
K. Dawson‐Howe (2014)
Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively eas...
OPENALEX
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan et al. • IEEE Open Journal of the Communications Society
(2021)
Sensing capability is one of the most highlighted new feature of future 6G wireless networks. This paper addresses the sensing potential of Large Intelligent Surfaces (LIS) in an exemplary Industry 4.0 scenario. Besides the attention receiv...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/OJCOMS.2021.3073467
Miriana Russo, Corrado Santoro, Federico Fausto Santoro, Alessio Tudisco • Actuators
(2026)
Viticulture is facing growing economic and environmental pressures that demand a transition toward intelligent and autonomous crop management systems. Phytopathologies remain one of the most critical threats, causing substantial yield losse...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/act15020091
Manabu Okawa • IEEE Access
(2025)
Offline writer identification is an essential component of biometric and forensic security fields, focusing on identifying the authors of handwritten documents in physical form. Historically, this approach has focused on text-dependent iden...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3586994
Stuart Stock • Field Actions Science Reports
(2026)
As the global economy confronts the dual imperatives of ecological preservation and technological advancement, we at Veolia, are executing a comprehensive strategy that places Artificial Intelligence (AI) at the core of our operations and f...
DOAJ
Open Access (DOAJ)
Daniela Arbeláez-Lelion, Francisco Ocaziones, Mateo José Murcia-Ramos, Samuel Salgado et al. • Cirugía Cardiovascular
(2026)
Artificial intelligence (AI) and computer vision (CV) are increasingly applied in vascular surgery for preoperative mapping and intraoperative flow/perfusion assessment, with potential to enhance safety and efficiency. However, the extent o...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.circv.2025.10.002
Dong Wang, Yaowen Kang, Yibin Chen, Yuefang Gao et al. • Journal of King Saud University: Computer and Information Sciences
(2026)
Abstract Image inpainting is crucial for restoring missing or corrupted regions in images, with diverse applications in computer vision and digital content creation. Existing deep learning-based methods, however, often struggle with large o...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44443-026-00545-5
Salma González-Sabbagh, Antonio Robles‐Kelly • ACM Computing Surveys
(2023)
Underwater computer vision has attracted increasing attention in the research community due to the recent advances in underwater platforms such as of rovers, gliders, autonomous underwater vehicles (AUVs) , and the like, that now make possi...
OPENALEX
other-oa
DOI: https://doi.org/10.1145/3578516
C. Chen, J. Li, J. Li, Z. Shuai et al. • Mechanical Sciences
(2025)
Pedestrian detection is one of the most widely applied tasks in industrial computer vision. It encapsulates three core challenges of object detection: detecting small objects, handling heavy occlusion, and balancing speed and accuracy for d...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/ms-16-877-2025
Longfei Zhou, Zhang Li, Nicholas Konz • IEEE Transactions on Systems Man and Cybernetics Systems
(2022)
Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comp...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tsmc.2022.3166397
Txomin Hermosilla • ELCVIA Electronic Letters on Computer Vision and Image Analysis
(2014)
Urban areas areimportant environments, accounting for approximately half the population of theworld. Cities attract residents partly because they offer ample opportunitiesfor development, which often results in urban sprawl and its complex ...
DOAJ
Open Access (DOAJ)
DOI: 10.5565/rev/elcvia.584