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Academic Articles & Research Papers
Showing 20 of 414 academic articles
Aditya Kuppa, Nhien‐An Le‐Khac • IEEE Transactions on Information Forensics and Security
(2021)
Machine Learning methods are playing a vital role in combating ever-evolving threats in the cybersecurity domain. Explanation methods that shed light on the decision process of black-box classifiers are one of the biggest drivers in the suc...
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DOI: https://doi.org/10.1109/tifs.2021.3117075
Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi • Drones
(2025)
Due to Internet of Drones (IoD) technology, drone networks have proliferated, transforming surveillance, logistics, and disaster management. Distributed Denial of Service (DDoS) attacks, malware infections, and communication abnormalities i...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/drones9010046
Димитра Пантели, Keyrellous Adib, Stefan Buttigieg, Francisco Goiana-da-Silva et al. • The Lancet Public Health
(2025)
Artificial intelligence (AI) can rapidly analyse large and complex datasets, extract tailored recommendations, support decision making, and improve the efficiency of many tasks that involve the processing of data, text, or images. As such, ...
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DOI: https://doi.org/10.1016/s2468-2667(25)00036-2
PMC: 12040707
Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi et al. • Communications Materials
(2022)
Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis routes of new materials...
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DOI: https://doi.org/10.1038/s43246-022-00315-6
PMC: 9702700
Kenneth S. Tramm, Jason T. Minter, Catherine A. Seaton • Vadose Zone Journal
(2024)
Abstract Risk‐based corrective action (RBCA) programs employ conservative models to develop default values for soil screening, which simplify the risk assessment process. However, for several naturally occurring metals (e.g., arsenic and le...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/vzj2.20294
Qingle Guo, Junping Zhang, Chongxiao Zhong, Ye Zhang • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2021)
With the increase in the availability of multitemporal hyperspectral images (HSIs), HSIs change detection (CD) methods, including pixel-level and subpixel-level based methods, have attracted great attention in recent years. However, the wid...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2021.3074538
Jaehyun Lee, Jinho Kim, Woong Ko • Applied Sciences
(2019)
Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made b...
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Open Access (DOAJ)
DOI: 10.3390/app9061231
Jinyoung Moon, Yongseok Mun • BMC Medical Research Methodology
(2025)
Abstract Background The US National Health and Nutrition Examination Survey (NHANES) dataset does not include a specific question or laboratory test to confirm a history of cancer diagnosis. However, if straightforward variables for cancer ...
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Open Access (DOAJ)
DOI: 10.1186/s12874-025-02478-5
Kyosuke Nagura, Satoko Watanabe, Taro Watanabe, Taro Watanabe et al. • Frontiers in Pharmacology
(2026)
IntroductionOveractive bladder (OAB) drugs are widely prescribed, yet the occurrence of atrial fibrillation (AF) after treatment initiation remains poorly characterized.MethodsWe evaluated reports of AF associated with OAB medications using...
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Open Access (DOAJ)
DOI: 10.3389/fphar.2025.1700587
Hao Yi, Bo Liu, Bin Zhao, Enhai Liu • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2024)
Due to the limitations of small targets in remote sensing images, such as background noise, poor information, and so on, the results of commonly used detection algorithms in small target detection is not satisfactory. To improve the accurac...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2023.3339235
Bing Li, Jiangtao Dong, Xile Wang, Yuqi Hou et al. • IEEE Access
(2025)
To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interact...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3530431
Limin Chuan, Jingjuan Zhao, Shijie Qi, Qian Jia et al. • Applied Sciences
(2024)
From the perspective of project and paper datasets, research frontier recognition in the field of agricultural resources and the environment using the Latent Dirichlet Allocation (LDA) topic extraction model was studied. By combining the wi...
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Open Access (DOAJ)
DOI: 10.3390/app14124996
Qinyu Li, Rujie Sun, Antoine Le Duigou, Jianglong Guo et al. • Data in Brief
(2022)
This data article presents four experimental sets of results related to flax fibre composites with epoxy shape memory polymer matrix: water vapor absorption, mass diffusion immersed in water, hygroscopic expansion, mechanical properties. Th...
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Open Access (DOAJ)
DOI: 10.1016/j.dib.2022.108367
Tang Jinlan, Qian Kan, Wang Na, Hu Xiaona • Journal of China Computer-Assisted Language Learning
(2021)
Many studies about eTandem and language learning stem from learners in Western institutions of higher education. Unfortunately, there is a lack of research investigating the telecollaboration regarding language development between learners ...
DOAJ
Open Access (DOAJ)
DOI: 10.1515/jccall-2021-2005
Mahmoud S. Mayaleh, Samer A. Mayaleh • Discover Artificial Intelligence
(2026)
Abstract Small-scale sentiment classification often suffers from data scarcity, which limits the generalization ability of the models. This study evaluates and compares the effectiveness of three data augmentation strategies: Easy Data Augm...
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Open Access (DOAJ)
DOI: 10.1007/s44163-025-00813-9
Imran Mirza, Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari • Information
(2025)
Large language models (LLMs) have revolutionized natural language processing across diverse domains, yet they also raise critical fairness and ethical concerns, particularly regarding gender bias. In this study, we conduct a systematic, mat...
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Open Access (DOAJ)
DOI: 10.3390/info16050358
Tianrun A. Cai, Andreas A. Giannopoulos, Sheng Yu, Tatiana Kelil et al. • Radiographics
(2016)
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. How...
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Open Access
DOI: https://doi.org/10.1148/rg.2016150080
PMC: 4734053
Xue Feng Jiang, Weiren Wang, Shaohan Tian, Hao Wang et al. • npj Computational Materials
(2025)
The transformative impact of artificial intelligence (AI) technologies on materials science has revolutionized the study of materials problems. By leveraging well-characterized datasets derived from the scientific literature, AI-powered too...
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DOI: https://doi.org/10.1038/s41524-025-01554-0
Jalaj Thanaki (2017)
Leverage the power of machine learning and deep learning to extract information from text dataAbout This BookImplement Machine Learning and Deep Learning techniques for efficient natural language processingGet started with NLTK and implemen...
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Hind Alamro, Takashi Gojobori, Magbubah Essack, Xin Gao • Scientific Reports
(2024)
Abstract The rapid increase in biomedical publications necessitates efficient systems to automatically handle Biomedical Named Entity Recognition (BioNER) tasks in unstructured text. However, accurately detecting biomedical entities is quit...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-58334-x