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Academic Articles & Research Papers
Showing 20 of 817 academic articles
Dhanalekshmi Prasad Yedurkar, Shilpa P. Metkar, Fadi Al-Turjman, Thompson Stephan et al. • Sensors
(2022)
A novel approach for multichannel epilepsy seizure classification which will help to automatically locate seizure activity present in the focal brain region was proposed. This paper suggested an Internet of Things (IoT) framework based on a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s22239302
Fang Lin, Yuxing Su, Chenxi Zhao, Farhana Akter et al. • Frontiers in Medicine
(2025)
Visual impairment, stemming from genetic, degenerative, and traumatic causes, affects millions globally. Recent advancements in ophthalmology present novel strategies for managing and potentially reversing these conditions. Here, we explore...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fmed.2025.1567159
Junaid Aamir MBChB MRes MRCS, Chijioke Orji MBBS, MRCS, Lyndon Mason BMBS MRCS FRCS • Foot & Ankle Orthopaedics
(2025)
Research Type: Level 3 - Retrospective cohort study, Case-control study, Meta-analysis of Level 3 studies Introduction/Purpose: Occult posterior malleolar fractures (PMFs) are reported commonly in tibial shaft fractures. Presurgical identif...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/2473011425S00315
Aida Meto, Gerta Halilaj • Applied Sciences
(2025)
(1) Background: Advancements in dental imaging technologies have significantly transformed diagnostic and surgical practices. The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15116308
Yingtao Zhang, Wenhe Li, Yang Wu, Huili Wei • Applied Sciences
(2026)
The leakage detection of oil and gas is very important for the safe operation of pipelines. The existing working condition recognition methods have limitations in processing and capturing complex multi-category leakage signal characteristic...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16010480
Xue Han, Jing Cao, Zi Wang, Heng Luo • Behavioral Sciences
(2026)
This study examines how agent type (customized vs. general-purpose) and feedback style (Socratic vs. directive) are associated with learners’ engagement with artificial intelligence (AI)-generated feedback in self-directed learning (SDL), w...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bs16071069
Subhranil Das, Rashmi Kumari, Raghwendra Kishore Singh, Tanupriya Choudhury • Discover Artificial Intelligence
(2026)
Abstract Detecting pests in agricultural fields remains one of the challenging tasks due to the small size of the objects and occlusion effects. In this paper, Trans-Neu-Pest, a hybrid framework, has been proposed by integrating the Swin Tr...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01824-w
Mireilla Bikanga Ada • Education Sciences
(2024)
This study explores how computing science students (n = 335) use ChatGPT, their trust in its information, their navigation of plagiarism issues, and their confidence in addressing plagiarism and academic integrity. A mixed-methods approach ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/educsci14101106
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
Mobayode O. Akinsolu, Khalil Zribi • Inventions
(2023)
In this paper, the growing significance of data analysis in manufacturing environments is exemplified through a review of relevant literature and a generic framework to aid the ease of adoption of regression-based supervised learning in man...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/inventions8010032
Ling Wang, Xing Liu, Guangcai Zhang, Fuxun Qi et al. • Advanced Science
(2025)
Abstract Neuromorphic computing systems convert multimodal signals to electrical responses for artificial intelligence recognition. Energy is consumed during both the response enhancement and depression, making the systems suffer from high ...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/advs.202500521
Ahmad Ahmad, Neily Zakiyah, Auliya A. Suwantika • Pharmacology and Clinical Pharmacy Research
(2025)
Diabetic retinopathy (DR) is a common complication of diabetes that damages retinal blood vessels and can lead to vision impairment. The application of Artificial Intelligence (AI) in DR screening offers a promising alternative to conventio...
DOAJ
Open Access (DOAJ)
DOI: 10.15416/pcpr.v9i3.60068
Guoli Rao, Chengru Ju, Zhen Feng • Journal of Advanced Computing Systems
(2024)
This research examines the critical dependencies within US-China technology supply chains through advanced artificial intelligence methodologies, addressing significant economic security implications in an era of strategic competition. The ...
DOAJ
Open Access (DOAJ)
DOI: 10.69987/JACS.2024.41204
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
Bowen Huang, Haoran Huang, Shuting Zhang, Dingyue Zhang et al. • Theranostics
(2022)
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%. The pancreatic cancer patients diagnosed with early screening have a median overall survival of nearly ten years, compared with 1.5 years for th...
OPENALEX
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DOI: https://doi.org/10.7150/thno.77949
PMC: 9576619
Bingbing Fang, Jiacheng Yu, Zhonghao Chen, Ahmed Ibrahim Osman et al. • Environmental Chemistry Letters
(2023)
The rising amount of waste generated worldwide is inducing issues of pollution, waste management, and recycling, calling for new strategies to improve the waste ecosystem, such as the use of artificial intelligence. Here, we review the appl...
OPENALEX
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DOI: https://doi.org/10.1007/s10311-023-01604-3
PMC: 10169138
Elena Guerini-Rocco, Chiara Frascarelli, Joana Sorino, Francesca Maria Porta et al. • Applied Sciences
(2026)
Designing an optimal digital pathology workspace is essential to ensure diagnostic accuracy and safeguard the long-term well-being of pathologists. While digital pathology improves reproducibility, facilitates multidisciplinary collaboratio...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16126021
Cuixia Liu, Meng Meng, Xian Luo • Metals
(2025)
Based on the innovative mode driven by “data + artificial intelligence”, in this study, three methods, namely Gaussian noise (GAUSS Noise), the Generative Adversarial Network (GAN), and the optimized Generative Adversarial Network (GANPro),...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/met15070733
Héctor Cordobés, Antonio Fernández Anta, Luis F. Chiroque, Fernando Pérez et al. • International Journal of Interactive Multimedia and Artificial Intelligence
(2014)
Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). Topic classifiers commonly use a bag-of-words approach, in which the classifier uses (and is trained with) selected terms from the...
DOAJ
Open Access (DOAJ)
DOI: 10.9781/ijimai.2014.254
Muhammad Nabeel Asim, Muhammad Nabeel Asim, Ahtisham Fazeel, Ahtisham Fazeel et al. • Frontiers in Medicine
(2022)
Viral-host protein-protein interaction (VHPPI) prediction is essential to decoding molecular mechanisms of viral pathogens and host immunity processes that eventually help to control the propagation of viral diseases and to design optimized...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fmed.2022.1025887