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Academic Articles & Research Papers
Showing 20 of 4,247 academic articles
Jun Cheng, Thi Yen Duong Nguyen, Kamil J. Cygan, Muhammed Hasan Çelik et al. • Genome Biology
(2019)
Abstract Predicting the effects of genetic variants on splicing is highly relevant for human genetics. We describe the framework MMSplice (modular modeling of splicing) with which we built the winning model of the CAGI5 exon skipping predic...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13059-019-1653-z
Ardian Kelmendi, George Pappas • Algorithms
(2025)
The automotive industry increasingly relies on 3D modeling technologies to design and manufacture vehicle components with high precision. One critical challenge is optimizing the placement of latches that secure the dashboard side paneling,...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/a18090553
P. E. Janani Pappu, B. Devanthan • Discover Artificial Intelligence
(2026)
Abstract Face detection in real-time video streams remains challenging because of dynamic variations in illumination, pose, motion blur, and partial occlusion. This paper proposes an optimized deep learning framework that integrates YOLOv12...
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Open Access (DOAJ)
DOI: 10.1007/s44163-026-02275-z
Ghenwa Chamouni, Filippo Lococo, Carolina Sassorossi, Nkunzi Atuhaire et al. • Frontiers in Public Health
(2025)
IntroductionArtificial intelligence (AI) is increasingly integrating into the healthcare field, particularly in lung cancer care, including screening, diagnosis, treatment, and prognosis. While these applications offer promising advancement...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpubh.2025.1663298
Yabo Fu, Yang Lei, Tonghe Wang, Walter John Curran et al. • Physics in Medicine and Biology
(2020)
This paper presents a review of deep learning (DL)-based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods in the medical field. These methods were classified into se...
OPENALEX
Open Access
DOI: https://doi.org/10.1088/1361-6560/ab843e
PMC: 7759388
Yayin Xu, Ying Zhou, Przemysław Sekuła, Lieyun Ding • Developments in the Built Environment
(2021)
The development of artificial intelligence technology is currently bringing about new opportunities in construction. Machine learning is a major area of interest within the field of artificial intelligence, playing a pivotal role in the pro...
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DOI: https://doi.org/10.1016/j.dibe.2021.100045
Asmaa Hani Halbouni, Teddy Surya Gunawan, Mohamed Hadi Habaebi, Murad Halbouni et al. • IEEE Access
(2022)
The rapid evolution and growth of the internet through the last decades led to more concern about cyber-attacks that are continuously increasing and changing. As a result, an effective intrusion detection system was required to protect data...
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DOI: https://doi.org/10.1109/access.2022.3151248
DeLiang Wang, Jitong Chen • IEEE/ACM Transactions on Audio Speech and Language Processing
(2018)
Speech separation is the task of separating target speech from background interference. Traditionally, speech separation is studied as a signal processing problem. A more recent approach formulates speech separation as a supervised learning...
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Open Access
DOI: https://doi.org/10.1109/taslp.2018.2842159
PMC: 6586438
Bethany Lusch, J. Nathan Kutz, Steven L. Brunton • Nature Communications
(2018)
Identifying coordinate transformations that make strongly nonlinear dynamics approximately linear has the potential to enable nonlinear prediction, estimation, and control using linear theory. The Koopman operator is a leading data-driven e...
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DOI: https://doi.org/10.1038/s41467-018-07210-0
PMC: 6251871
Zihao Zhang, Stefan Zohren, Stephen Roberts • The Journal of Financial Data Science
(2020)
In this article, the authors adopt deep learning models to directly optimize the portfolio Sharpe ratio. The framework they present circumvents the requirements for forecasting expected returns and allows them to directly optimize portfolio...
OPENALEX
Open Access
DOI: https://doi.org/10.3905/jfds.2020.1.042
Daniel Veltri, Uday Kamath, Amarda Shehu • Bioinformatics
(2018)
Motivation: Bacterial resistance to antibiotics is a growing concern. Antimicrobial peptides (AMPs), natural components of innate immunity, are popular targets for developing new drugs. Machine learning methods are now commonly adopted by w...
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cc-by-nc
DOI: https://doi.org/10.1093/bioinformatics/bty179
PMC: 6084614
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai et al. • npj Digital Medicine
(2018)
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extraction of curated predictor variabl...
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DOI: https://doi.org/10.1038/s41746-018-0029-1
PMC: 6550175
Michael Kloster, Andrea M. Burfeid-Castellanos, Daniel Langenkämper, Tim W. Nattkemper et al. • PLoS ONE
(2023)
Diatoms represent one of the morphologically and taxonomically most diverse groups of microscopic eukaryotes. Light microscopy-based taxonomic identification and enumeration of frustules, the silica shells of these microalgae, is broadly us...
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Open Access (DOAJ)
Sarah Alhumoud, Asma Al Wazrah, Laila Alhussain, Lama Alrushud et al. • PeerJ Computer Science
(2023)
COVID-19 has become a global pandemic that has affected not only the health sector but also economic, social, and psychological well-being. Individuals are using social media platforms to communicate their feelings and sentiments about the ...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.1507
Zhe Sun, Junping Wan, Bin Wang, Zhiqiang Cao et al. • Frontiers in Physics
(2021)
Data-driven deep learning has accelerated the spread of social computing applications. To develop a reliable social application, service providers need massive data on human behavior and interactions. As the data is highly relevant to users...
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Open Access (DOAJ)
DOI: 10.3389/fphy.2021.739259
Liurong Tao, Haoran Ren, Zhiwei Gu • Remote Sensing
(2023)
Seismic impedance inversion is a vital way of geological interpretation and reservoir investigation from a geophysical perspective. However, it is inevitably an ill-posed problem due to the noise or the band-limited characteristic of seismi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs15040891
Yoon Joo Choi, Sujeong Han, Chena Lee, Kug Jin Jeon et al. • Scientific Reports
(2026)
Abstract The inferior alveolar nerve (IAN) is the major sensory nerve innervating the mandibular region, and its automatic segmentation is crucial. It has been indirectly identified on the mandibular canal, which surrounds the IAN, using co...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-45392-6
YANG Qi-fan, SUN Xue-yang, WANG Yan-bin, TIAN Zhi-ling et al. • Fayixue Zazhi
(2022)
ObjectiveTo apply the convolutional neural network （CNN） Inception_v3 model in automatic identification of acceleration and deceleration injury based on CT images of brain, and to explore the application prospect of deep learning technology...
DOAJ
Open Access (DOAJ)
DOI: 10.12116/j.issn.1004-5619.2021.410923
Jianjing Zhang, Robert X. Gao • Chinese Journal of Mechanical Engineering
(2021)
Abstract Characterized by self-monitoring and agile adaptation to fast changing dynamics in complex production environments, smart manufacturing as envisioned under Industry 4.0 aims to improve the throughput and reliability of production b...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s10033-021-00587-y
Asma Cherif, Arwa Badhib, Heyfa Ammar, Suhair Alshehri et al. • Journal of King Saud University: Computer and Information Sciences
(2023)
Credit card fraud is becoming a serious and growing problem as a result of the emergence of innovative technologies and communication methods, such as contactless payment. In this article, we present an in-depth review of cutting-edge resea...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jksuci.2022.11.008