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Showing 20 of 1,446 academic articles
Yasir Abdelgadir Mohamed, Abdul Hakim H. M. Mohamed, Akbar Khanan, Mohamed Bashir et al. • IEEE Access
(2024)
This review examines the ethical, social, and technical challenges posed by AI-generated text tools, focusing on their rapid advancement and widespread adoption. An exhaustive literature search across many databases, strict inclusion/exclus...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3521945
Meytal Wilf, Michal Ramot, Edna Furman-Haran, Anat Arzi et al. • PLoS ONE
(2016)
Natural sleep provides a powerful model system for studying the neuronal correlates of awareness and state changes in the human brain. To quantitatively map the nature of sleep-induced modulations in sensory responses we presented participa...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0157143
Amir A. Kimia, Guergana Savova, Assaf Landschaft, Marvin B. Harper • Pediatric Emergency Care
(2015)
Electronically stored clinical documents may contain both structured data and unstructured data. The use of structured clinical data varies by facility, but clinicians are familiar with coded data such as International Classification of Dis...
OPENALEX
DOI: https://doi.org/10.1097/pec.0000000000000484
Pu Jiao, Limin Ran • Discover Artificial Intelligence
(2025)
Abstract With the rapid development of science and technology, augmented reality technology provides intelligent and application services. The research is based on imaging techniques using augmented reality technology and camera image captu...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-025-00399-2
Arjun Mohanakumar, Massimiliano Rinaldi, Jasmine Hadj Saadoun, Camilla Lazzi et al. • Applied Food Research
(2026)
Agri-food processing generates large volumes of by-products that remain insufficiently exploited despite their content of phenolic compounds, peptides, polysaccharides, carotenoids, dietary fibres and other functional constituents. These si...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.afres.2026.102511
Julia Hirschberg, Christopher D. Manning • Science
(2015)
Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the lin...
OPENALEX
DOI: https://doi.org/10.1126/science.aaa8685
Khalid M. Hosny, Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza • Intelligent Systems with Applications
(2024)
The COVID-19 virus is causing a global pandemic. The total number of new coronavirus cases worldwide by the end of November 2020 had already surpassed 60 million. The World Health Organization (WHO) has determined that wearing masks is a cr...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iswa.2024.200391
Yumin Zhang, Yanyong Wang • EURASIP Journal on Image and Video Processing
(2025)
Abstract Due to the rapid advances in computer vision and deep learning, human action recognition has become one of the most important representative tasks for video understanding. Especially for human action recognition based on RGB-D data...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13640-025-00677-0
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/biology15010042
Mikail Kırğıl, Suleyman Gokhan Taskin, Ali Ercetin • Applied Sciences
(2026)
Burr formation during drilling of aluminum alloys can compromise hole quality and assembly accuracy, increasing the need for secondary deburring operations. The time-consuming and operator-dependent nature of manual visual inspection create...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app162010012
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
Vladimir Tudić, Damir Kralj, Josip Hoster, Tomislav Tropčić • Sensors
(2022)
This paper presents the process of designing, fabricating, assembling, programming and optimizing a prototype nonlinear mechatronic Ball-Plate System (BPS) as a laboratory platform for engineering education STEM. Due to the nonlinearity and...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s22051875
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
Jernej Zupanc, Barbara Drašler, Sabina Boljte, Veronika Kralj-Iglič et al. • PLoS ONE
(2014)
We present a method for giant lipid vesicle shape analysis that combines manually guided large-scale video microscopy and computer vision algorithms to enable analyzing vesicle populations. The method retains the benefits of light microscop...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0113405
Jin Wang, Zhenghua Yang, Dongming Zhou, Dongming Zhou et al. • Frontiers in Bioinformatics
(2026)
Medical image segmentation is a fundamental task in computer vision and plays an important role in clinical diagnosis and treatment planning. Existing methods are mainly built on either convolutional neural networks (CNNs) or Transformer-ba...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fbinf.2026.1849059
SHA Yuyang, LU Jingtao, DU Haofan, ZHAI Xiaobing, MENG Weiyu, LIAN Xu, LUO Gang, LI Kefeng • Jisuanji gongcheng
(2025)
Image segmentation is a crucial technology for environmental perception, and it is widely used in various scenarios such as autonomous driving and virtual reality. With the rapid development of technology, computer vision-based blind guidin...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0068674
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
Buhari Salisu • International Journal of AI and Advanced Computing
(2026)
The rapid advancement of Artificial Intelligence (AI), wearable computing, and Internet of Things (IoT) technologies has significantly transformed digital interactions across various sectors. However, the adoption of smart wearable technolo...
DOAJ
Open Access (DOAJ)
DOI: 10.5281/zenodo.21981139
D. Zhong, D. Zhong, L. He, L. He et al. • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2023)
Rapid access to the basic structure of village buildings is conducive to the investigation of the load-bearing bodies of village houses and provides data support for disaster assessment and post-disaster rescue and reconstruction. The devel...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-annals-X-1-W1-2023-295-2023
Chuan‐Zhi Dong, F. Necati Çatbaş • Structural Health Monitoring
(2020)
Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to the computer vision technology application a...
OPENALEX
DOI: https://doi.org/10.1177/1475921720935585