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Academic Articles & Research Papers
Showing 20 of 414 academic articles
Yang Zhang, Xiaobing Chen, Su Sun, Hongfeng You et al. • Scientific Reports
(2025)
Abstract To address the challenges of low performance in vehicle image detection from UAV aerial imagery, difficulties in small target feature extraction, and the large parameter size of existing models, we propose the OSD-YOLOv10 algorithm...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-09825-y
ZHANG Haobo, XUE Feng, LIU Kai • Jisuanji gongcheng
(2021)
To effectively use the user-item interaction history and auxiliary information in recommendation systems,this paper proposes an improved collaborative filtering recommendation algorithm.Based on semi-autoencoder,the features of auxiliary in...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0056700
Reshma Devi, Keith T. Butler, Gopalakrishnan Sai Gautam • npj Computational Materials
(2024)
Abstract A pathway to overcome limited data availability in materials science is to use the framework of transfer learning, where a pre-trained (PT) machine learning model (on a larger dataset) can be fine-tuned (FT) on a target (smaller) d...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41524-024-01486-1
Weidun Xie, Xingjian Chen, Zetian Zheng, Fuzhou Wang et al. • iScience
(2023)
Summary: By soaking microRNAs (miRNAs), long non-coding RNAs (lncRNAs) have the potential to regulate gene expression. Few methods have been created based on this mechanism to anticipate the lncRNA-gene relationship prediction. Hence, we pr...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.isci.2023.108197
Bulent Cavas • Science Education International
(2026)
Dear Readers, The September 2026 issue of Science Education International presents 11 original research articles authored by scholars from 11 countries, including Germany, Slovenia and Italy, Finland and South Africa, Brazil, Chile and Arge...
DOAJ
Open Access (DOAJ)
DOI: 10.33828/sei.v37.i4.e
Andualem Woldegiorgis, Mohammed Abebe, Durga Prasad Sharma, Worku Jimma • International Journal of Emerging Research in Engineering, Science, and Management
(2026)
Social media platforms have become powerful tools for communication, information exchange, networking, and community building. However, their widespread use has facilitated the proliferation of misinformation, disinformation, and mal-inform...
DOAJ
Open Access (DOAJ)
DOI: 10.58482/ijeresm.v5i2.3
I Made Agus Wirawan, Ketut Paramarta • Data in Brief
(2025)
One of the main goals of today's technology is to create a connected environment between humans and technological devices to perform daily physical activities. However, users with speech disorders cannot use this application. Loss of verbal...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dib.2025.111454
Wei Yan, Guo-hui Xiao, Li-juan Wang, Yan Zhou et al. • Journal of Translational Medicine
(2025)
Abstract Background The stiffness of the matrix is closely related to the progression of hepatocellular carcinoma (HCC). Although direct targeting of stromal rigidity in HCC remains a clinical challenge, cancer-associated fibroblasts (CAFs)...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12967-025-06325-5
Jeremy D. DeBarry, Jessica C. Kissinger, Mustafa V. Nural, Suman B. Pakala et al. • Data Science Journal
(2020)
Projects in the life sciences continue to increase in complexity as they scale to answer deeper and more diverse questions. They employ technologies that generate increasingly large ‘omic’ datasets and research teams regularly include exper...
DOAJ
Open Access (DOAJ)
DOI: 10.5334/dsj-2020-024
Warisa Thangjai, Sa-Aat Niwitpong, Suparat Niwitpong • PeerJ
(2020)
The log-normal distribution is often used to analyze environmental data like daily rainfall amounts. The rainfall is of interest in Thailand because high variable climates can lead to periodic water stress and scarcity. The mean, standard d...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj.10004
Lynne Billard, Edwin Diday • Journal of the American Statistical Association
(2003)
Increasingly, datasets are so large they must be summarized in some fashion so that the resulting summary dataset is of a more manageable size, while still retaining as much knowledge inherent to the entire dataset as possible. One conseque...
OPENALEX
DOI: https://doi.org/10.1198/016214503000242
Sabina-Cristiana Necula • Behavioral Sciences
(2023)
In this study, we aim to investigate the influence of the time spent reading product information on consumer behavior in e-commerce. Given the rapid growth of e-commerce and the increasing importance of understanding online consumer behavio...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bs13060439
Huaqi Zhao, Songnan Zhang, Xiang Peng, Zhengguang Lu et al. • Frontiers in Neurorobotics
(2025)
Object detection is a critical component in the development of autonomous driving technology and has demonstrated significant growth potential. To address the limitations of current techniques, this paper presents an improved object detecti...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnbot.2024.1484276
Sihan Xiong, Yiwei Fu, Asok Ray • Entropy
(2018)
This paper presents a nonparametric regression model of categorical time series in the setting of conditional tensor factorization and Bayes network. The underlying algorithms are developed to provide a flexible and parsimonious representat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e20060396
Xulun Ye, Jieyu Zhao, Yu Chen • Entropy
(2018)
Multi-manifold clustering is among the most fundamental tasks in signal processing and machine learning. Although the existing multi-manifold clustering methods are quite powerful, learning the cluster number automatically from data is stil...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e20110830
Hengzhi Chen, Kun Hu, Patrick Filippi, Wei Xiang et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2026)
As an emerging topic, semantic change detection (SCD) in remote sensing aims to both identify the locations of changes before and after events and determine the land cover (LC) classes of changed regions. While deep learning has demonstrate...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2026.3715175
Peilin Wang, Bingxin Liu, Ying Li, Peng Chen et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2024)
As shipping routes and resource exploration move toward high-latitude oceans, sea ice becomes a major threat to the safety of ship navigation, posing significant challenges to the shipping industry and offshore resource development. Continu...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2023.3335294
Yanbing Bai, Rui-Yang Ju, Lemeng Zhao, Junjie Hu et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2026)
Uncrewed Aerial Vehicles (UAVs) have become increasingly important in disaster emergency response by facilitating aerial video analysis. Due to the limited computational resources available on UAVs, large models cannot be run efficiently fo...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2026.3685660
Liu Zhang, Zongchen Zhao, Xueying Lv, Xuanyun Zhang et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2026)
Infrared small target detection (IRSTD) remains a core challenge in remote sensing, mainly due to low signal-to-noise ratios, small target sizes, background interference, and large-scale variations. Although existing methods have achieved p...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2026.3685006
Jie Fang, Xiaoqian Cao, Dianwei Wang, Shengjun Xu • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2021)
As a fundamental preprocessing technique, remote sensing image motion deblurring is important for visual understanding tasks. Most conventional approaches formulate the image motion deblurring task as a kernel estimation. Because the kernel...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2020.3047636