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Academic Articles & Research Papers
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Navaneethakrishna Makaram, Sarvagya Gupta, Matthew Pesce, Jeffrey Bolton et al. • Algorithms
(2023)
In drug-resistant epilepsy, a visual inspection of intracranial electroencephalography (iEEG) signals is often needed to localize the epileptogenic zone (EZ) and guide neurosurgery. The visual assessment of iEEG time-frequency (TF) images i...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/a16120567
Samuel Dzidefo Sagoe, Raymond Webrah Kazapoe, Daniel Kwayisi, Seidu Alidu et al. • Discover Soil
(2026)
Abstract Artisanal and Small-Scale Mining (ASM) is a critical driver of soil contamination in West Africa, yet quantifying the relative contributions of natural and anthropogenic sources remains a major challenge. This study presents an int...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44378-026-00229-6
Ildar M. Ishkulov, Irik G. Fattakhov • Записки Горного института
(2025)
The problem of timely and accurate evaluation of well integrity is becoming increasingly relevant in the context of mature field development, high wellstream water cut, and a growing number of old wells. For production casing diagnostics, g...
DOAJ
Open Access (DOAJ)
James L. Melville, Edmund K. Burke, Jonathan D. Hirst • Combinatorial Chemistry & High Throughput Screening
(2009)
In this review, we highlight recent applications of machine learning to virtual screening, focusing on the use of supervised techniques to train statistical learning algorithms to prioritize databases of molecules as active against a partic...
OPENALEX
DOI: https://doi.org/10.2174/138620709788167980
Michael J. Bianco, Peter Gerstoft, James A. Traer, Emma Reeves Ozanich et al. • The Journal of the Acoustical Society of America
(2019)
Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science. We survey the recent advances and transformative potential of machine learning (ML), including deep lear...
OPENALEX
Open Access
DOI: https://doi.org/10.1121/1.5133944
Zexin CHEN, Tongtiegang ZHAO • Shui kexue jinzhan
(2025)
The Xin'anjiang model stands as one of the most important hydrological models. This paper develops a differentiable Xin'anjiang model coupled with the CemaNeige module（dMXAJ）under the framework of differentiable parameter learning. Specific...
DOAJ
Open Access (DOAJ)
DOI: 10.14042/j.cnki.32.1309.2025.02.003
Khaled Hamdaoui, Ali Benzaamia, Billal Sari Ahmed, Mohamed Elhebib Guellil et al. • Journal of Engineering and Applied Science
(2025)
Abstract This study introduces a novel, interpretable machine learning framework for predicting the compression index (Cc) of clay soils by integrating three advanced gradient boosting algorithms—XGBoost, CatBoost, and LightGBM—with SHapley...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s44147-025-00727-4
Bruce Porter, A. Souther • Machine Learning Research
(2023)
Machine Learning Research (MLR) is a scholarly open access, peer-reviewed, and fully refereed journal. This journal provides a unified forum for researchers and scientists to share the latest research and developments in all areas of machin...
OPENALEX
Open Access
DOI: https://doi.org/10.11648/j.mlr
Giorgio Quer, Ramy Arnaout, Michael Henne, Rima Arnaout • Journal of the American College of Cardiology
(2021)
The role of physicians has always been to synthesize the data available to them to identify diagnostic patterns that guide treatment and follow response. Today, increasingly sophisticated machine learning algorithms may grow to support clin...
OPENALEX
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DOI: https://doi.org/10.1016/j.jacc.2020.11.030
PMC: 7839163
Xiaoling Wei, Yongbao Feng, Xiaoxia Han, Zhenxin He • International Transactions on Electrical Energy Systems
(2022)
At present, with the continuous development and great improvement of mechanical manufacturing, processing, and assembly technology, mechanical flow-induced vibration (FIV) with a relatively concentrated frequency domain can be controlled by...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2022/9513357
Charles Nickmilder, Anthony Tedde, Isabelle Dufrasne, Françoise Lessire et al. • Remote Sensing
(2021)
Accurate information about the available standing biomass on pastures is critical for the adequate management of grazing and its promotion to farmers. In this paper, machine learning models are developed to predict available biomass express...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs13030408
Sohail Ahmad, Felix Creutzig • Environmental Research Letters
(2019)
India’s land transport GHG emissions are small in international comparison, but growing exponentially. Understanding of geographically-specific determinants of GHG emissions is crucial to devise low-carbon sustainable development strategies...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1748-9326/ab011f
ChunYu Meng, FeiFei Zuo, Shuai Liu, YuLiang Ji et al. • Frontiers in Medicine
(2026)
BackgroundThis study aimed to develop an interpretable and clinically applicable machine learning prediction model to assess the risk of adverse outcomes within one year following acute ischaemic stroke, and to establish a corresponding web...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fmed.2026.1956859
Yanan Wang, Jiangning Song, Tatiana T. Marquez-Lago, André Leier et al. • Scientific Reports
(2017)
Abstract Matrix Metalloproteases (MMPs) are an important family of proteases that play crucial roles in key cellular and disease processes. Therefore, MMPs constitute important targets for drug design, development and delivery. Advanced pro...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-017-06219-7
Pavlo O. Dral • The Journal of Physical Chemistry Letters
(2020)
As the quantum chemistry (QC) community embraces machine learning (ML), the number of new methods and applications based on the combination of QC and ML is surging. In this Perspective, a view of the current state of affairs in this new and...
OPENALEX
Open Access
DOI: https://doi.org/10.1021/acs.jpclett.9b03664
Wuxin Sha, Yan Li, Shun Tang, Jie Tian et al. • InfoMat
(2021)
Abstract Polymers have been widely used in energy storage, construction, medicine, aerospace, and so on. However, the complexity of chemical composition and morphology of polymers has brought challenges to their development. Thanks to the i...
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DOI: https://doi.org/10.1002/inf2.12167
Neusa R. Adão Martins, Neusa R. Adão Martins, Simon Annaheim, Christina M. Spengler et al. • Frontiers in Physiology
(2021)
The objective measurement of fatigue is of critical relevance in areas such as occupational health and safety as fatigue impairs cognitive and motor performance, thus reducing productivity and increasing the risk of injury. Wearable systems...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fphys.2021.790292
Giuseppe Altieri, Sabina Laveglia, Mahdi Rashvand, Francesco Genovese et al. • Applied Sciences
(2025)
This study aims to evaluate and classify the ripening stages of yellow-fleshed kiwifruit by integrating spectral and physicochemical data collected from the pre-harvest phase through 60 days of storage. A portable near-infrared (NIR) spectr...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15116233
Wenbing Zhu, Weiqiang Zhang, Liming Yong • Frontiers in Psychiatry
(2026)
BackgroundExercise intervention has been associated with cognitive development in children. However, current study methods have not clarified the potential nonlinear association between exercise dosage and cognitive ability, and interpretab...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpsyt.2026.1908580
Thorsten Wuest, Daniel Weimer, Christopher Irgens, Klaus‐Dieter Thoben • Production & Manufacturing Research
(2016)
The nature of manufacturing systems faces ever more complex, dynamic and at times even chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an efficient manner, it is essential to utilize all means av...
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DOI: https://doi.org/10.1080/21693277.2016.1192517