Home »
Academic Articles & Research Papers
Showing 20 of 1,679 academic articles
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...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.21037/atm.2016.03.37
PMC: 4916348
Rodrigo D. Escobar, Alekya R. Angula, Mark Corsi • Ingenierías USBMed
(2012)
Compile-time optimization of code can result in significant performance gains. The amount of these gains varies widely depending upon the code being optimized, the hardware being compiled for, the specific performance increase attempted (e....
DOAJ
Open Access (DOAJ)
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
Rok Rajher, Mila Marinković, Polona Rus Prelog, Jure Žabkar • Scientific Reports
(2025)
Abstract Schizophrenia is a chronic and severe mental disorder that still relies on time-intensive, clinician-administered assessments. Although several automated approaches have been proposed to support diagnosis, these systems often lack ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-33129-w
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
Paolo Graniero, Paolo Graniero, Mark Khenkin, Hans Köbler et al. • Frontiers in Energy Research
(2023)
Perovskite solar cells are the most dynamic emerging photovoltaic technology and attracts the attention of thousands of researchers worldwide. Recently, many of them are targeting device stability issues–the key challenge for this technolog...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fenrg.2023.1118654
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...
OPENALEX
cc-by
DOI: https://doi.org/10.3390/s18082674
PMC: 6111295
Pat Langley B, Herbert A. Simon • Communications of the ACM
(1995)
M achine learning is the study of computational methods for improving performance by mechanizing the acquisition of knowledge from experience. Expert performance requires much domain-specific knowledge, and knowledge engineering has produce...
OPENALEX
DOI: https://doi.org/10.1145/219717.219768
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...
OPENALEX
cc-by
DOI: https://doi.org/10.1002/inf2.12167
Arvind Kumar Tiwari • IGI Global eBooks
(2019)
Machine learning refers to the changes in systems that perform tasks associated with artificial intelligence. This chapter presents introduction types and application of machine learning. This chapter also presents the basic concepts relate...
OPENALEX
DOI: https://doi.org/10.4018/978-1-7998-0414-7.ch003
Zetao Yan • Egyptian Informatics Journal
(2025)
Portfolio optimization is a process that involves distribution of capital with the purpose of maximizing returns and at the same time minimizing risks. The current paper discusses the use of Transformer networks in supervised learning for p...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.eij.2025.100839
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
Pengsheng Hui, Yu Jiang, Jie Wang, Congxiao Wang et al. • Frontiers in Aging Neuroscience
(2024)
BackgroundParkinson’s disease (PD) is a prevalent neurodegenerative disorder that significantly benefits from early diagnosis for effective disease management and intervention. Despite advancements in medical technology, there remains a cri...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnagi.2024.1354147
Tan Yan Lin, Pang Ying Han, Ooi Shih Yin, Khoh Wee How et al. • Journal of Engineering Technology and Applied Physics
(2023)
In the telecom industry, predicting customer churn is crucial for improving customer retention. In literature, the use of single classifiers is predominantly focused. Customer data is complex data due to class imbalance and contain multiple...
DOAJ
Open Access (DOAJ)
DOI: 10.33093/jetap.2023.5.2.12
Shuchen Sun, Shuchen Sun, Shuchen Sun, Leihao Ren et al. • Frontiers in Oncology
(2022)
PurposeThis study aimed to investigate the feasibility of predicting NF2 mutation status based on the MR radiomic analysis in patients with intracranial meningioma.MethodsThis retrospective study included 105 patients with meningiomas, incl...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fonc.2022.879528
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
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3347725