Showing 20 of 142 academic articles
Jiao Li, Xiaojuan Jing, Qin Zhang, Xiaoxiang Wang et al. • BMC Medical Informatics and Decision Making
(2025)
Abstract Background Subepithelial lesions (SELs) present significant diagnostic challenges in gastrointestinal endoscopy, particularly in differentiating malignant types, such as gastrointestinal stromal tumors (GISTs) and neuroendocrine tu...
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Open Access (DOAJ)
DOI: 10.1186/s12911-025-03147-9
Stanisław Duer • Biuletyn Wojskowej Akademii Technicznej
(2017)
The article presents the problem of describing the theoretical basis for inference (decision-making) in the multi-valued logic. A significant part of the article concerns the descrip-tion of the basis for the development of the logic k-valu...
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Open Access (DOAJ)
DOI: 10.5604/01.3001.0009.9488
Fatemeh Bahador, Azam Sabahi, Samaneh Jalali, Fatemeh Ameri • پیاورد سلامت
(2023)
Background and Aim: Diabetes is one of the most common metabolic diseases in Iran and the fifth leading cause of death all over the world. Its spread around the world has created new methods in biomedical research, including artificial inte...
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Open Access (DOAJ)
Анастас К.В. • Cifra: Компьютерные науки и информатика
(2026)
Современная научная деятельность характеризуется экспоненциальным ростом объема публикаций и данных, что создает значительные трудности в систематизации, анализе и интерпретации информации. В этих условиях технологии искусственного интеллек...
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Open Access (DOAJ)
DOI: 10.60797/COMP.2026.9.1
Prashant D. Tailor, MD, Piotr K. Kopinski, MD, PhD, Haley S. D’Souza, MD, David A. Leske, MS et al. • Ophthalmology Science
(2025)
Purpose: To develop and validate machine learning (ML) models to predict choroidal nevus transformation to melanoma based on multimodal imaging at initial presentation. Design: Retrospective multicenter study. Participants: Patients diagnos...
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Open Access (DOAJ)
DOI: 10.1016/j.xops.2024.100584
Luciellen da Costa Ferreira, Ian Carlos Bispo Carvalho, Lúcio André de Castro Jorge, Alice Maria Quezado-Duval et al. • Frontiers in Plant Science
(2024)
Food security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. ...
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Open Access (DOAJ)
DOI: 10.3389/fpls.2024.1387925
Galen Richardson, Sylvain G. Leblanc, Julie Lovitt, Krishan Rajaratnam et al. • Drones
(2021)
Relating ground photographs to UAV orthomosaics is a key linkage required for accurate multi-scaled lichen mapping. Conventional methods of multi-scaled lichen mapping, such as random forest models and convolutional neural networks, heavily...
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Open Access (DOAJ)
DOI: 10.3390/drones5030099
Yuchen Cao, Lan Hu, Laurent Kneip • Sensors
(2020)
Simultaneous Localisation And Mapping (SLAM) has long been recognised as a core problem to be solved within countless emerging mobile applications that require intelligent interaction or navigation in an environment. Classical solutions to ...
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Open Access (DOAJ)
DOI: 10.3390/s20092572
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...
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Open Access (DOAJ)
DOI: 10.3389/fmed.2025.1567159
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...
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Open Access (DOAJ)
DOI: 10.3390/app15116308
Federica Giuliani, Jurji Filieri • And
(2025)
Il daylighting design rappresenta oggi una componente essenziale nella progettazione architettonica, in relazione a obiettivi ambientali, qualitativi e percettivi. Tuttavia, nonostante il crescente interesse verso la luce naturale, permango...
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Irena Snikhovska, Larysa Soloviova, Julia Bereziuk, Svitlana Poplavska et al. • English Language Teaching Educational Journal
(2026)
Evaluative language has been widely examined, but evaluative nouns in cinematic discourse remain insufficiently studied. This study addresses this gap by systematically analyzing evaluative nouns in English movie dialogue. A sample of 176 l...
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Open Access (DOAJ)
Mustafa Sevindik, Ayşenur Gürgen, Aras Fahrettin Korkmaz, Ilgaz Akata • Molecules
(2025)
In this study, extraction conditions were optimized to maximize the biological activities of extracts obtained from Paralepista flaccida, an edible mushroom species. Extraction processes were carried out using an ultrasonically assisted sys...
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Open Access (DOAJ)
DOI: 10.3390/molecules30163317
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...
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Open Access (DOAJ)
DOI: 10.3390/bs16071069
Philippa Boyd, Debs Harding • Buildings & Cities
(2025)
The uptake of generative artificial intelligence (GenAI) tools has implications for doctoral research and academic publication practices within both construction management and the wider academic context. Unless these implications are under...
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Open Access (DOAJ)
DOI: 10.5334/bc.560
Ali Taimori, Mathini Sellathurai, Tharmalingam Ratnarajah • IEEE Transactions on Machine Learning in Communications and Networking
(2026)
Communication is a fundamental process in the nature of interconnected entities. Conventional engineering models of information transmission and reception, namely Shannon’s bit communication and Weaver’s semantic communication...
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Open Access (DOAJ)
DOI: 10.1109/TMLCN.2026.3716920
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...
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Open Access (DOAJ)
DOI: 10.3390/inventions8010032
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 ...
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Open Access (DOAJ)
DOI: 10.69987/JACS.2024.41204
Ramón Sanguino, Nilgün Çağlarırmak Uslu, Pınar Karahan-Dursun, Caner Özdemir et al. • World
(2025)
Education–employment mismatch represents a persistent structural issue across Europe, especially among young people. In line with the digital transformation, green transformation and population aging, new jobs are emerging every day, and so...
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Open Access (DOAJ)
DOI: 10.3390/world6040143
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...
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Open Access (DOAJ)
DOI: 10.1002/ece3.7518