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Academic Articles & Research Papers
Showing 20 of 566 academic articles
Matan Avitan, Elena V. Ravve, Zeev Volkovich • Mathematics
(2024)
Many different aspects of software system development and verification rely on precise function identification in binary code. Recognition of the source Assembly functions in embedded systems is one of the fundamental challenges in binary p...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math12050658
Limin Chuan, Jingjuan Zhao, Shijie Qi, Qian Jia et al. • Applied Sciences
(2024)
From the perspective of project and paper datasets, research frontier recognition in the field of agricultural resources and the environment using the Latent Dirichlet Allocation (LDA) topic extraction model was studied. By combining the wi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14124996
Faith Adedayo Adejumo, Samuel Gbolagunte Olaniyan, Temilade Patience Adejumo, Sandra Kikelomo Odunaro et al. • The Egyptian Heart Journal
(2026)
Abstract Background Heart failure with preserved ejection fraction (HFpEF) is increasingly recognized as a major heart failure phenotype globally; however, its diagnosis is complex and is recommended to require integrated assessment of clin...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s43044-026-00779-8
Mansur Ziiatdinov, Fedor Levkovich-Maslyuk, Emmanuel M. Pothos • Entropy
(2026)
Finding the global minimum of a function with many local extrema is well known to be a challenging computational task. We propose a hybrid quantum–classical algorithm for this optimisation problem, based on a combination of Grover quantum s...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e28101060
Jinhyun Kim, Kyung Mee Park, Suonaa Lee, Sooji Park et al. • BMC Health Services Research
(2024)
Abstract Background Digital therapeutics (DTx) is a treatment option that uses computer software to provide evidence-based interventions for medical disorders. DTx platforms are digital services that facilitate interactions among stakeholde...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12913-024-11286-4
DEMBRI Naima • Ziglôbitha
(2025)
Résumé : S’intéresser à l’agir de l’apprenant en pédagogie, c’est s’intéresser aux capacités des apprenants à construire eux-mêmes leurs savoirs et à agir sur leur apprentissage tout en interagissant avec les autres acteurs dans une perspec...
DOAJ
Open Access (DOAJ)
DOI: 10.60632/ziglobitha.n013.05.vol.1.2025
Jiatong Bao, Yunyi Jia, Yu Cheng, Hongru Tang et al. • Sensors
(2016)
Controlling robots by natural language (NL) is increasingly attracting attention for its versatility, convenience and no need of extensive training for users. Grounding is a crucial challenge of this problem to enable robots to understand N...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s16122117
Gonçalo Carnaz, Vitor Beires Nogueira, Mário Antunes • Informatics
(2021)
Organizations have been challenged by the need to process an increasing amount of data, both structured and unstructured, retrieved from heterogeneous sources. Criminal investigation police are among these organizations, as they have to man...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/informatics8020037
Jantima Polpinij, Manasawee Kaenampornpan, Christopher S. G. Khoo, Wei-Ning Cheng et al. • Mathematics
(2026)
Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math14020299
Mohammad Mohi Uddin • Discover Artificial Intelligence
(2026)
Abstract Generative artificial intelligence (GenAI) systems are increasingly embedded in higher education, shaping writing, instructional design, and institutional approaches to academic integrity. In response, universities have developed p...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01999-2
Hind Alamro, Takashi Gojobori, Magbubah Essack, Xin Gao • Scientific Reports
(2024)
Abstract The rapid increase in biomedical publications necessitates efficient systems to automatically handle Biomedical Named Entity Recognition (BioNER) tasks in unstructured text. However, accurately detecting biomedical entities is quit...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-58334-x
Ante Grgurevic, Marina Bagic Babac • IEEE Access
(2025)
In this paper, we introduce Vox Calculi, a system designed to solve mathematical problems using voice transcriptions. By leveraging state-of-the-art pretrained Automatic Speech Recognition (ASR) models, we accurately transcribe users’...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3564121
Eric Brill, Raymond J. Mooney • AI Magazine
(1997)
In recent years, there has been a resurgence in research on empirical methods in natural language processing. These methods employ learning techniques to automatically extract linguistic knowledge from natural language corpora rather than r...
OPENALEX
DOI: https://doi.org/10.1609/aimag.v18i4.1318
Kealeboga Aiseng • Emerging Media
(2026)
This study examines the influence of artificial intelligence (AI)-driven media platforms on South Africa's indigenous languages—Setswana, Tshivenda, and Xitsonga—in the country's diverse linguistic environment. It examines how algorithmic b...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/27523543261447913
Zhen Yang, Minjie Xu, Zhangfeng Liu, Da Qin et al. • Dianxin kexue
(2013)
As the major part of big data research, the audio frequency's value has not been discovered. The features of big data, and the automatic speech recognition（ASR）technology were studied, and the value was mined through the method that combine...
DOAJ
Open Access (DOAJ)
Michał Wawer, Jarosław A. Chudziak, Ewa Niewiadomska-Szynkiewicz • Applied Sciences
(2024)
Traditional technical analysis methods face limitations in accurately predicting trends in today’s complex financial markets. Meanwhile, existing AI-driven approaches, while powerful in processing large datasets, often lack interpretability...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app142411897
Zhiwen Xiong • EURASIP Journal on Wireless Communications and Networking
(2021)
Abstract Machine learning is a branch of the field of artificial intelligence. Deep learning is a complex machine learning algorithm that has unique advantages in image recognition, speech recognition, natural language processing, and indus...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13638-021-02038-7
Christopher Geib, Mark J. Steedman • Edinburgh Research Explorer (University of Edinburgh)
(2007)
The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsin...
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Nadia Mushtaq Gardazi, Ali Yusny Daud, Muhammad Kamran Malik, Amal Abdullah Bukhari et al. • Artificial Intelligence Review
(2025)
BERT (Bidirectional Encoder Representations from Transformers) has revolutionized Natural Language Processing (NLP) by significantly enhancing the capabilities of language models. This review study examines the complex nature of BERT, inclu...
OPENALEX
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DOI: https://doi.org/10.1007/s10462-025-11162-5
Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli et al. • JMIR Medical Informatics
(2019)
BACKGROUND: Novel approaches that complement and go beyond evidence-based medicine are required in the domain of chronic diseases, given the growing incidence of such conditions on the worldwide population. A promising avenue is the seconda...
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DOI: https://doi.org/10.2196/12239
PMC: 6528438