Showing 20 of 950 academic articles
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
Guang Liu, Xiaojie Wang • IEEE Access
(2019)
Stock market prediction is of great importance for financial analysis. Traditionally, many studies only use the news or numerical data for the stock market prediction. In the recent years, in order to explore their complementary, some studi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2018.2886367
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...
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Open Access (DOAJ)
DOI: 10.3389/fpsyt.2026.1908580
Mohamad Kazemi, Atefeh Jafarpoor, Youssef Ahmadi, Raoof Mostafazadeh • Scientific Reports
(2026)
Abstract The expansion of human activities and environmental changes in coastal desert and semi-desert ecosystems significantly impact habitat quality. This study used remote sensing data on the Google Earth Engine (GEE) platform to generat...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-47305-z
Kai Zhao, Yujia Shi, Hon-Cheong So • Pharmaceutics
(2022)
Identification of the correct targets is a key element for successful drug development. However, there are limited approaches for predicting drug targets for specific diseases using omics data, and few have leveraged expression profiles fro...
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Open Access (DOAJ)
DOI: 10.3390/pharmaceutics14020234
Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji et al. • IEEE Access
(2024)
The ability to perform machine learning (ML) tasks in a database management system (DBMS) is a new paradigm for conventional database systems as it enables advanced data analytics on top of well-established capabilities of DBMSs. However, t...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3347725
Mahmood Matin, Mohammad Azadi • International Journal of Lightweight Materials and Manufacture
(2024)
The estimation of transition fatigue lifetimes for piston aluminum alloys was carried out using unsupervised machine learning (ML) with the K-means algorithm. For this purpose, an experimental dataset representing standard ISO specimens wit...
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Open Access (DOAJ)
DOI: 10.1016/j.ijlmm.2024.04.004
Santu Mondal, Sneha Ray, Aritra Acharyya, Rudra Sankar Dhar et al. • IEEE Access
(2025)
This work investigates the application of artificial neural network (ANN)-based regression models to predict the static and dynamic characteristics of GaN impact avalanche transit time (IMPATT) sources in the terahertz (THz) frequency regim...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3567410
Theodore Warsavage, Fuyong Xing, Anna E Barón, William J Feser et al. • PLoS ONE
(2020)
We present a case study for implementing a machine learning algorithm with an incremental value framework in the domain of lung cancer research. Machine learning methods have often been shown to be competitive with prediction models in some...
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Open Access (DOAJ)
DOI: 10.1371/journal.pone.0231468
Juliana Aparecida Anochi, Vinícius Albuquerque de Almeida, Haroldo Fraga de Campos Velho • Remote Sensing
(2021)
Many natural disasters in South America are linked to meteorological phenomena. Therefore, forecasting and monitoring climatic events are fundamental issues for society and various sectors of the economy. In the last decades, machine learni...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs13132468
Fahad Ahmed Khokhar, Tommaso Zoppi, Luigi Cennini, Andrea Ceccarelli et al. • Scientific Reports
(2026)
Abstract The last decade has seen a surging opportunity for developing autonomous systems (e.g., fully autonomous driving, computer-guided robotic surgery, mobile robots for inspections and surveillance, and manufacturing robots) to relieve...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-45091-2
Kavian Khosravinia, Amirkianoosh Kiani • iScience
(2023)
Summary: Pseudocapacitors outperform lithium-ion batteries in terms of charging rate and power density. However, their electrode manufacturing procedures are prolonged and environmentally unfriendly, posing a research challenge. To address ...
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Open Access (DOAJ)
DOI: 10.1016/j.isci.2023.106438
Jiaoling Qin, Jiaoling Qin, Sunzhe Li, Sunzhe Li et al. • Frontiers in Marine Science
(2023)
Accurately monitoring and predicting the large-scale dynamic changes of water levels in coastal zones is essential for its protection, restoration and sustainable development. However, there has been a challenge for achieving this goal usin...
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Open Access (DOAJ)
DOI: 10.3389/fmars.2022.1113387
Matthias S. Treder • Frontiers in Neuroscience
(2020)
MVPA-Light is a MATLAB toolbox for multivariate pattern analysis (MVPA). It provides native implementations of a range of classifiers and regression models, using modern optimization algorithms. High-level functions allow for the multivaria...
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Open Access (DOAJ)
DOI: 10.3389/fnins.2020.00289
Rasmus Dovnborg Frederiksen, Grzegorz Radzki, Grzegorz Bocewicz, Peter Nielsen et al. • Applied Sciences
(2026)
This paper investigates the relationship between the benefits achieved by predictive maintenance implementation and the related costs incurred intentionally or not. Specifically, we seek to establish an evaluation method for predictive main...
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Open Access (DOAJ)
DOI: 10.3390/app16178708
Tomoya Maeda, Junichiro Iwasawa, Hazuki Kotani, Natsue Sakata et al. • Nature Communications
(2020)
Understanding evolutionary constraints in antibiotic resistance is crucial for prediction and control. Here, the authors use high-throughput laboratory evolution of Escherichia coli alongside machine learning to identify trade-off relations...
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Open Access (DOAJ)
DOI: 10.1038/s41467-020-19713-w
Sumesh Kharnotia, Bhavna Arora, Ravdeep Kour • ICT Express
(2026)
The extensive embrace of Android has amplified malware risks, resulting in a need for better detection methods. This article investigates the area of static analysis, which analyses applications without execution by examining code and manif...
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Open Access (DOAJ)
DOI: 10.1016/j.icte.2026.01.005
Ana Beatriz Neves, Rodrigo Martins, Nuno Matela, Tiago Atalaia • Bioengineering
(2023)
From an early age, people are exposed to risk factors that can lead to musculoskeletal disorders like low back pain, neck pain and scoliosis. Medical screenings at an early age might minimize their incidence. The study intends to improve a ...
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Open Access (DOAJ)
DOI: 10.3390/bioengineering10101171
Hail Jung, Daejin Kim • Seonmul yeongu
(2025)
We study the effectiveness of textual information in predicting the returns of crude oil futures and understanding the behavior of market participants. Using a machine learning method to extract oil market sentiment from news articles, we f...
DOAJ
Open Access (DOAJ)
DOI: 10.1108/JDQS-12-2024-0050
Tianchen Liang, Linqing Zou, Qiaoning He, Lin Sun • Remote Sensing
(2026)
Retrieving aerosol optical depth (AOD) over land remains challenging because the relatively weak aerosol signal in top-of-atmosphere (TOA) observations must be separated from strong and spatially heterogeneous surface reflectance. Here, we ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs18172862