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Academic Articles & Research Papers
Showing 20 of 813 academic articles
B.S. Prashanth, Manoj Kumar, Ariful Hoque, Nasser Al Muraqab et al. • International Review of Economics & Finance
(2026)
The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iref.2026.104916
Qi Cao, Jianwen Tao, Yufang Dan, Di Zhou • Scientific Reports
(2026)
Abstract Unsupervised domain adaptive object detection (UDA-OD) aims to deploy a detector trained on source domain(s) to a new, unlabeled target domain. Carrying out mean-teacher self-training for UDA-OD poses a significant challenge, given...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-44991-7
Ling Zhu, Xinrui Shi, Zihao Song, Zhihao Qin et al. • iNew Medicine
(2026)
ABSTRACT Flexible sensors enable the continuous, real‐time monitoring of the physiological and movement signals of patients, providing data support for precise rehabilitation strategies and playing a crucial role in rehabilitation medicine....
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Open Access (DOAJ)
DOI: 10.1002/inm3.70004
Zeynep Akkutay-Yoldar, Mehmet Türkay Yoldar, Yiğit Burak Akkaş, Sibel Şurak et al. • Scientific Reports
(2025)
Abstract Identifying viral replication within cells demands labor-intensive isolation methods, requiring specialized personnel and additional confirmatory tests. To facilitate this process, we developed an AI-powered automated system called...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-89639-0
Evangeline Corcoran, Simon Denman, Grant Hamilton • Ecology and Evolution
(2021)
Abstract Drones and machine learning‐based automated detection methods are being used by ecologists to conduct wildlife surveys with increasing frequency. When traditional survey methods have been evaluated, a range of factors have been fou...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ece3.7518
Yasir Afaq, Ankush Manocha • Applied Artificial Intelligence
(2021)
Waterbody identification from satellite images in an automated manner is one of the difficult tasks in the domain of Remote Sensing (RS). In recent years, several image processing approaches have been developed to process RGB or multispectr...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/08839514.2021.1982533
Giovanni D’Amico • European Journal of Remote Sensing
(2026)
Mediterranean coastal pine forests offer vital ecological and cultural benefits but face threats from climate change, urbanization, and pests. Among invasive agents, Toumeyella parvicornis is a severe threat to Pinus pinea along Italy's coa...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/22797254.2026.2709014
Iván Claudio Suazo Galdames • Revista Cubana de Estomatología
(2024)
Introduction: The introduction of artificial intelligence-driven applications is revolutionizing dentomaxillofacial imaging.
Objectives: To describe the current status of artificial intelligence applications in dentomaxillofacial diagnosti...
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Open Access (DOAJ)
Hongming Peng, Siyu Xiang, Mingju Chen, Hongyang Li et al. • IEEE Access
(2024)
Road segmentation is an important task in the field of semantic segmentation, and the Deeplabv3+ algorithm, which is commonly used for road segmentation, has shortcomings, such as numerous parameters and a tendency to lose detailed informat...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3416468
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access
(2023)
Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3332243
Mortatha Faleh Majed, Ali S. Abed Al Sailawi, Hassan A. Hameed Al-Hamzawi • Next Energy
(2026)
Accurate power forecasting and precise fault diagnosis are critical for the reliable operation of large-scale photovoltaic systems. However, existing data-driven models often fail to capture complex spatiotemporal dependencies and lack phys...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.nxener.2026.101127
Changhee Yun, Bomi Eom, Sungjun Park, Chanho Kim et al. • Sensors
(2023)
In the medical field, it is delicate to anticipate good performance in using deep learning due to the lack of large-scale training data and class imbalance. In particular, ultrasound, which is a key breast cancer diagnosis method, is delica...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23052864
Chengjie Zheng, Thomas V. Johnson, Aakriti Garg Shukla, Michael Vincent Boland • Current Opinion in Ophthalmology
(2018)
PURPOSE OF REVIEW: The use of computers has become increasingly relevant to medical decision-making, and artificial intelligence methods have recently demonstrated significant advances in medicine. We therefore provide an overview of curren...
OPENALEX
DOI: https://doi.org/10.1097/icu.0000000000000552
Zachi Itzhak Attia, David Harmon, Elijah Raphael Behr, Paul A. Friedman • European Heart Journal
(2021)
Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them super-human diagnostic abilities. Trained without hard-coded rules by finding often subclinical patterns in huge datasets, AI transforms the ECG,...
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Open Access
DOI: https://doi.org/10.1093/eurheartj/ehab649
PMC: 8500024
Christoph Balada, Max Bondorf, Sheraz Ahmed, Markus Zdrallek et al. • IEEE Access
(2025)
Electricity grids have become an essential part of daily life, even if they are often not noticed in everyday life. We usually only become particularly aware of this dependence by the time the electricity grid is no longer available. Howeve...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3560811
J.E. Soun, D.S. Chow, M. Nagamine, R.S. Takhtawala et al. • American Journal of Neuroradiology
(2020)
Artificial intelligence technology is a rapidly expanding field with many applications in acute stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute stroke is critical for initiating prompt intervention ...
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DOI: https://doi.org/10.3174/ajnr.a6883
PMC: 7814792
Cheng-Shen Chang, Yung-Chun Lee • Sensors
(2020)
A tactile position sensing system based on the sensing of acoustic waves and analyzing with artificial intelligence is proposed. The system comprises a thin steel plate with multiple piezoelectric transducers attached to the underside, to e...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s20092619
Rui-Fang Lu, Chao-Yin She, Dan-Ni He, Mei-Qing Cheng et al. • npj Digital Medicine
(2025)
Abstract Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and the workload of radiologists. This retrospective, multicenter study assessed four artificial intelligence (AI) enhanced strategies us...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41746-025-01892-9
George Tsamis, Georgios Evangelos, Aris Papakostas, Giannis Vassiliou et al. • Algorithms
(2025)
One significant digital initiative that is changing Greece’s tax environment is the myDATA platform. The platform, which is a component of the wider digital governance agenda, provides significant added value to enterprises and the tax admi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/a18060339
Daniel Shu Wei Ting, Louis Robert Pasquale, Lily Peng, John Peter Campbell et al. • Springer eBooks
(2018)
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years. DL has been widely adopted in image recognition, speech recognition and natural language processing, but is only beginning to i...
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Open Access
DOI: https://doi.org/10.1007/978-3-030-64573-1_200
PMC: 6362807