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Academic Articles & Research Papers
Showing 20 of 32 academic articles
Qiqi Yang, Qingwen Lin, Ruichao Wei, Jiaxin Gao et al. • Batteries
(2026)
Lithium-ion battery fires are governed by continuous heat release during thermal runaway, flammable gas venting, and thermal coupling between adjacent cells. Even after visible flames are extinguished, post-extinguishment temperature rise, ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/batteries12080305
Sergio Alvarez-Rodríguez, Francisco G. Peña-Lecona • Sensors
(2023)
Artificial neural networks are a powerful tool for managing data that are difficult to process and interpret. This article presents the design and implementation of backpropagated multilayer artificial neural networks, structured with a vec...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23208347
T. V. Soumya, M. K. Sabu • Discover Computing
(2025)
Abstract The sequential three-way decision accepts additional information at each level and makes more accurate definite decisions with less uncertainty. This process can also be extended to two-way classification with the finer-grained inf...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s10791-025-09729-5
Shazia A. Mitha, Jessica Schwartz, Mollie Hobensack, Kenrick Cato et al. • CIN Computers Informatics Nursing
(2022)
Natural language processing includes a variety of techniques that help to extract meaning from narrative data. In healthcare, medical natural language processing has been a growing field of study; however, little is known about its use in n...
OPENALEX
Open Access
DOI: https://doi.org/10.1097/cin.0000000000000967
PMC: 11499545
Brendan Bertone, Paul Wagner, Joshua Pauli • Journal of Cybersecurity Education, Research & Practice
(2025)
The cybersecurity profession continues to face a significant shortfall of qualified professionals despite steady growth in degree programs. Employers consistently cite experience as the main barrier for entry-level cybersecurity hires. This...
DOAJ
Open Access (DOAJ)
DOI: 10.62915/2472-2707.1254
Shihao Zhang, Yanhui Xiao, Huawei Tian, Xiaolong Li • Cybersecurity
(2025)
Abstract Unlike single-image steganography, the scheme of payload distribution on different images plays a pivotal role in the security performance of multi-image steganography. In this paper, a novel multi-image steganography scheme: image...
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Open Access (DOAJ)
DOI: 10.1186/s42400-024-00333-6
Cyrille YetuYetu Kesiku, Andrea Chaves-Villota, Begonya Garcia-Zapirain • Information
(2022)
The classification of biomedical literature is engaged in a number of critical issues that physicians are expected to answer. In many cases, these issues are extremely difficult. This can be conducted for jobs such as diagnosis and treatmen...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info13100499
Anton Vijeevaraj Ann Sinthusha, Eugene Y. A. Charles, Ruvan Weerasinghe • IEEE Access
(2025)
Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries. It also enhanc...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3530949
Joseph A. Mellia, Marten N. Basta, Yoshiko Toyoda, Sammy Othman et al. • Annals of Surgery
(2020)
OBJECTIVE: The aim of this study was to systematically assess the application and potential benefits of natural language processing (NLP) in surgical outcomes research. SUMMARY BACKGROUND DATA: Widespread implementation of electronic health...
OPENALEX
DOI: https://doi.org/10.1097/sla.0000000000004419
Vinit Mehta, Charu Sharma, Karthick Thiyagarajan • Sensors
(2025)
With the rapid advancement of artificial intelligence and robotics, the integration of Large Language Models (LLMs) with 3D vision is emerging as a transformative approach to enhancing robotic sensing technologies. This convergence enables ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25206394
LIU Yao, QIN Xun, LIU Tianji • Jisuanji kexue
(2024)
To address the issue of re-analyzing and repeating development of natural language processing tools and resource ana-lysis plugins when new requirements arise during project development,this paper proposes a business-oriented on-demand reso...
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Open Access (DOAJ)
DOI: 10.11896/jsjkx.230800191
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo et al. • Foundations and Trends® in Machine Learning
(2023)
Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be bes...
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Open Access
DOI: https://doi.org/10.1561/2200000096
Yu Wang, Shu Xu, Zenghui Ding, Cong Liu et al. • AI
(2025)
Background/Objectives: Knowledge Graphs (KGs) are often incomplete, which can significantly impact the performance of downstream applications. Manual completion of KGs is time-consuming and costly, emphasizing the importance of developing a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ai6070156
Wenlin Yan, Xianxin Jiang, Ping Liu • IEEE Access
(2023)
Artificial Intelligence (AI) has promising applications in basketball shooting analysis, as it can help basketball athletes improve their shooting techniques and accuracy, thereby enhancing the effectiveness of both games and training sessi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3304631
Shuqin Tu, Qiantao Zeng, Haofeng Liu, Yun Liang et al. • IET Image Processing
(2023)
Abstract The current instance segmentation method can achieve satisfactory results in common scenarios. However, under the overlap or partial occlusion between targets caused by the complex scenes, accurate segmentation of pigs remains a ch...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12880
G. Sezen, M. Cakir, M. E. Atik, Z. Duran • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2022)
Detecting building façade elements is a crucial problem in computer vision for image interpretation. In Building Information Modeling (BIM) studies, the detection of building façade elements has an important role. BIM is a tool that allows ...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLIII-B4-2022-315-2022
Yixiang Lu, Rui Wang, Qingwei Gao, Dong Sun et al. • Frontiers in Neurorobotics
(2021)
Multi-modal image fusion integrates different images of the same scene collected by different sensors into one image, making the fused image recognizable by the computer and perceived by human vision easily. The traditional tensor decomposi...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fnbot.2021.762252
Subbulakshmi M, Mohammad Malik Mubeen S, Mohamed Ali E A • AIP Advances
(2026)
Digital images acquired through imaging systems often lose their original fidelity due to various types of noise introduced during acquisition, storage, or transmission, consequently reducing clarity and adversely affecting subsequent image...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/5.0332993
Xiaoxiao Ma, Jia Xin Wu, Shan Xue, Jian Yu Yang et al. • IEEE Transactions on Knowledge and Data Engineering
(2021)
Anomalies are rare observations (e.g., data records or events) that deviate significantly from the others in the sample. Over the past few decades, research on anomaly mining has received increasing interests due to the implications of thes...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tkde.2021.3118815
Yanming Yang, Xin Xia, David Lo, John Grundy • ACM Computing Surveys
(2021)
In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)” and an improved model training method to break the bottleneck of neural network development. More recently, the introduction of AlphaGo in 2016 demonstr...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3505243