Showing 20 of 142 academic articles
Bianca Pilla, Jennifer Stone, Zoe Jordan • Archives of Public Health
(2025)
Abstract Background Understanding the alignment and contributions of research to the United Nations Sustainable Development Goals (UN SDGs) is essential for guiding global progress toward these critical targets. Several SDG mapping approach...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13690-025-01784-0
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...
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Open Access (DOAJ)
DOI: 10.3390/biology15010042
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
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
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
Connor J. C. McGuirk, Natalie Baddour, Edward D. Lemaire • Computation
(2021)
New artificial intelligence- (AI) based marker-less motion capture models provide a basis for quantitative movement analysis within healthcare and eldercare institutions, increasing clinician access to quantitative movement data and improvi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computation9120130
Vijeta Sharma, Manjari Gupta, Ajai Kumar, Deepti Mishra • IEEE Access
(2021)
Studies show lots of advanced research on various data types such as image, speech, and text using deep learning techniques, but nowadays, research on video processing is also an emerging field of computer vision. Several surveys are presen...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3118541
Paulo Monteiro de Carvalho Monson, Vinicius Augusto Dare de Almeida, Gabriel Augusto David, Pedro Oliveira Conceição Junior et al. • Engineering Proceedings
(2024)
Computer vision applications demand a significant amount of data for effective training and inference in many computer vision tasks. However, data insufficiency situations usually happen due to multiple reasons, resulting in computational m...
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Open Access (DOAJ)
DOI: 10.3390/ecsa-11-20476
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera et al. • IEEE Access
(2020)
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to autonomous driving of modern cars as well as other sectors in ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3039858
Zoe Moorton, Kamlesh Mistry, Rebecca Strachan, Shanfeng Hu • Journal of Marine Science and Engineering
(2025)
Being able to accurately identify litter in a marine environment is crucial to cleaning up our seas and oceans. Research into object detection techniques to support this identification has been underway for over two decades. However, there ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse13081590
Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal et al. • Journal of Vascular Diseases
(2025)
Background: Varicose veins (VVs) of the lower limbs, characterized by palpable, dilated, and tortuous veins, affect 2–73% of the global population. Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jvd4020019
Nikita Andriyanov • Mathematics
(2022)
On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing. On the other hand, no...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10214021
Mecit Kantarcı, Volkan Kızılgöz, Ramazan Terzi, Ahmet Enes Kılıç et al. • Diagnostic and Interventional Radiology
(2025)
PURPOSE: This study aimed to evaluate the effectiveness of artificial intelligence (AI) in diagnosing focal nodular hyperplasia (FNH) of the liver using magnetic resonance imaging (MRI) and compare its performance with that of radiologists....
DOAJ
Open Access (DOAJ)
DOI: 10.4274/dir.2025.243095
Ali Raza, Mohammad Rustom Al Nasar, Essam Said Hanandeh, Raed Abu Zitar et al. • Technologies
(2023)
Kinematic motion detection aims to determine a person’s actions based on activity data. Human kinematic motion detection has many valuable applications in health care, such as health monitoring, preventing obesity, virtual reality, daily li...
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Open Access (DOAJ)
DOI: 10.3390/technologies11020055
Kirill Djebko, Patrick Schurk, Tom Baumann, Frank Puppe et al. • Aerospace
(2025)
Artificial Intelligence (AI) is rapidly transforming engineering fields, from robotics to aerospace, with applications in control systems for UAVs and satellites. This work builds on a previously developed AI attitude controller for the Inn...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/aerospace12121039
Ardian Kelmendi, George Pappas • Algorithms
(2025)
The automotive industry increasingly relies on 3D modeling technologies to design and manufacture vehicle components with high precision. One critical challenge is optimizing the placement of latches that secure the dashboard side paneling,...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/a18090553
R. S. Basavanna, Ishaan Adhaulia, N. M. Dhanyakumar, Jyoti Joshi • Contemporary Clinical Dentistry
(2025)
Background:
The integration of artificial intelligence in dentistry has seen remarkable advancements, especially in diagnostic imaging. This study evaluates and compares the accuracy of deep learning models with that of dental postgraduate ...
DOAJ
Open Access (DOAJ)
DOI: 10.4103/ccd.ccd_274_24
Ghenwa Chamouni, Filippo Lococo, Carolina Sassorossi, Nkunzi Atuhaire et al. • Frontiers in Public Health
(2025)
IntroductionArtificial intelligence (AI) is increasingly integrating into the healthcare field, particularly in lung cancer care, including screening, diagnosis, treatment, and prognosis. While these applications offer promising advancement...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpubh.2025.1663298
Yoon Joo Choi, Sujeong Han, Chena Lee, Kug Jin Jeon et al. • Scientific Reports
(2026)
Abstract The inferior alveolar nerve (IAN) is the major sensory nerve innervating the mandibular region, and its automatic segmentation is crucial. It has been indirectly identified on the mandibular canal, which surrounds the IAN, using co...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-45392-6