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Academic Articles & Research Papers
Showing 20 of 2,633 academic articles
Ziru Fu, Yu Cheng Hsu, Christian S Chan, Chaak Ming Lau et al. • Journal of Medical Internet Research
(2024)
BackgroundSentiment analysis is a significant yet difficult task in natural language processing. The linguistic peculiarities of Cantonese, including its high similarity with Standard Chinese, its grammatical and lexical uniqueness, and its...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/51069
Shourong Lu, Ying Yang, Qiao Xu, Shuqiang Wang et al. • Frontiers in Neurology
(2022)
Gut microbial alteration is closely associated with brain disorders including cognitive impairment (CI). Gut microbes have the potential to predicate the development of diseases. However, the gut microbial markers for CI remain to be elucid...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fneur.2022.834403
Caroline W. Grant, Jerry Li, Swan Lin, Dana Nickens et al. • Clinical and Translational Science
(2025)
ABSTRACT Patient outcomes in advanced renal cell carcinoma (RCC) remain poor, with five‐year survival rates ranging from ~10% to 30%. Early projections of therapeutic outcomes could optimize precision medicine and accelerate drug developmen...
DOAJ
Open Access (DOAJ)
DOI: 10.1111/cts.70348
Jörn Lötsch, Alfred Ultsch • Pain
(2017)
1. Introduction Pain and pain chronification are incompletely understood and unresolved medical problems that continue to have a high prevalence.14 It has been accepted that pain is a complex phenomenon.2,32,72 Contemporary methods of compu...
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DOI: https://doi.org/10.1097/j.pain.0000000000001118
PMC: 5895117
Yagang Zhang • InTech eBooks
(2010)
Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large...
OPENALEX
Open Access
DOI: https://doi.org/10.5772/217
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
Ming Han, Ge Sun, Paul F. Nealey, Juan J. de Pablo • npj Computational Materials
(2025)
Abstract Machine learning (ML) offers considerable promise for the design of new molecules and materials. In real-world applications, the design problem is often domain-specific, and suffers from insufficient data, particularly labeled data...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41524-025-01836-7
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...
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DOI: https://doi.org/10.2174/138620709788167980
Markus Leippold, Qian Wang, Wenyu Zhou • Journal of Financial Economics
(2021)
We add to the emerging literature on empirical asset pricing in the Chinese stock market by building and analyzing a comprehensive set of return prediction factors using various machine learning algorithms. Contrasting previous studies for ...
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DOI: https://doi.org/10.1016/j.jfineco.2021.08.017
Xueqian Gong, Zhanyuan Zhu, Li Guo, Yong Zhong et al. • Land
(2025)
Xishu Gardens, an exemplary narrative of classical Chinese gardens, faces challenges in preserving its commemorative spatial structures while accommodating modern visitors’ needs. While trajectory analysis is critical, existing studies stru...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/land14050932
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
Maher Abuhussain, Ali Hussain Alhamami, Khaled Almazam, Omar Humaidan et al. • Buildings
(2025)
This study introduces a comprehensive framework combining building information modeling (BIM), project management body of knowledge (PMBOK), and machine learning (ML) to optimize energy efficiency and reduce environmental impacts in Riyadh’...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/buildings15173031
Zhongheng Zhang • Annals of Translational Medicine
(2016)
Machine learning techniques have been widely used in many scientific fields, but its use in medical literature is limited partly because of technical difficulties. k-nearest neighbors (kNN) is a simple method of machine learning. The articl...
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DOI: https://doi.org/10.21037/atm.2016.03.37
PMC: 4916348
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
Konstantinos G. Liakos, Patrizia Busato, Dimitrios Moshou, Simon Pearson et al. • Sensors
(2018)
Machine learning has emerged with big data technologies and high-performance computing to create new opportunities for data intensive science in the multi-disciplinary agri-technologies domain. In this paper, we present a comprehensive revi...
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DOI: https://doi.org/10.3390/s18082674
PMC: 6111295
Jan Pišl, Marc Rußwurm, Lloyd Haydn Hughes, Gaston Lenczner et al. • Environmental Research Letters
(2024)
The rates of tropical deforestation remain high, resulting in carbon emissions, biodiversity loss, and impacts on local communities. To design effective policies to tackle this, it is necessary to know what the drivers behind deforestation ...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1748-9326/ad44b2
Rodolphe Jantzen, Rodolphe Jantzen, Mathieu Maltais, Mathieu Maltais et al. • Frontiers in Public Health
(2022)
IntroductionThe objective of this study was to characterize the combinations of demographic and socioeconomic characteristics associated to the unwillingness to receive the COVID-19 vaccines during the 2021 Quebec's vaccination campaign.Mat...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpubh.2022.756037
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
Xue-Geng Hong, Mei-Qi Zhang, Fang Tang, Si-Hui Song et al. • Viruses
(2024)
Toscana virus (TOSV), a member of the Phlebovirus genus transmitted by sandflies, is acknowledged for its capacity to cause neurological infections and is widely distributed across Mediterranean countries. The potential geographic distribut...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/v17010015
Jerry Alan Fails, Dan R. Olsen • ACM International Conference on Intelligent User Interfaces (IUI)
(2003)
Perceptual user interfaces (PUIs) are an important part of ubiquitous computing. Creating such interfaces is difficult because of the image and signal processing knowledge required for creating classifiers. We propose an interactive machine...
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DOI: https://doi.org/10.1145/604045.604056