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Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method

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...

DOAJ Open Access (DOAJ) DOI: 10.3390/app9061231

Construction of the cancer patients’ database based on the US National Health and Nutrition Examination Survey (NHANES) datasets for cancer epidemiology research

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 ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12874-025-02478-5

Atrial fibrillation signals associated with overactive bladder drugs across JADER and FAERS: disproportionality and time-to-onset analyses

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...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphar.2025.1700587

Single Eye mRNA-Seq Reveals Normalisation of the Retinal Microglial Transcriptome Following Acute Inflammation

Oliver H. Bell, David A. Copland, Amy Ward, Lindsay B. Nicholson et al. • Frontiers in Immunology (2020)

Background: Whether retinal microglia can maintain or restore immune homeostasis during and after inflammation is unclear. We performed single-eye mRNA-sequencing on microglia at different timepoints following a single inflammatory stimulus...

DOAJ Open Access (DOAJ) DOI: 10.3389/fimmu.2019.03033

Small Object Detection Algorithm Based on Improved YOLOv8 for Remote Sensing

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

Motion-Compensated PET Image Reconstruction via Separable Parabolic Surrogates

Nicholas E. Protonotarios, George A. Kastis, Andreas D. Fotopoulos, Andreas G. Tzakos et al. • Mathematics (2022)

The effective resolution of positron emission tomography (PET) can be significantly degraded by patient motion during data acquisition. This is especially true in the thorax due to respiratory motion. This study concentrates on the improvem...

DOAJ Open Access (DOAJ) DOI: 10.3390/math11010055

Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features

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...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3530431

Proposing New Data Whitening Method through Application of LSTM Method for Fault Condition Prediction in Bearing Data

Nasrin Rezaei, Andreas Rehkopf • Advances in Engineering and Intelligence Systems (2026)

In the context of big data, data preprocessing, especially data whitening, plays a pivotal role in improving the effectiveness of AI models. While traditional whitening methods suffer from severe computational bottlenecks, arising from the ...

DOAJ Open Access (DOAJ) DOI: 10.22034/aeis.2026.575941.1510

Large datasets of water vapor sorption, mass diffusion immersed in water, hygroscopic expansion and mechanical properties of flax fibre/shape memory epoxy hygromorph composites

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...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2022.108367

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing

Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, Anahita Davoudi et al. • Frontiers in Public Health (2022)

BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpubh.2022.850619

Exploring language learning and corrective feedback in an eTandem project

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

Enhancing sentiment classification on small datasets through data augmentation and transfer learning

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...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-025-00813-9

D‐BERT: Incorporating dependency‐based attention into BERT for relation extraction

Yuan Huang, Zhixing Li, Wei Deng, Guoyin Wang et al. • CAAI Transactions on Intelligence Technology (2021)

Abstract Relation extraction between entity pairs is an increasingly critical area in natural language processing. Recently, the pre‐trained bidirectional encoder representation from transformer (BERT) performs excellently on the text class...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.12033

Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis

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...

DOAJ Open Access (DOAJ) DOI: 10.3390/info16050358

Natural Language Processing Techniques for Text Classification of Biomedical Documents: A Systematic Review

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

Natural Language Processing Technologies in Radiology Research and Clinical Applications

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...

OPENALEX Open Access DOI: https://doi.org/10.1148/rg.2016150080 PMC: 4734053

Applications of natural language processing and large language models in materials discovery

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...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1038/s41524-025-01554-0

Applied Natural Language Processing

Martin Hassel, Hercules Dalianis • IGI Global eBooks (2011)

Today, with digitally stored information available in abundance, even for many less commonly spoken languages, this information must by some means be filtered and extracted in order to avoid drowning in it. Automatic summarization is one su...

OPENALEX public-domain DOI: https://doi.org/10.4018/978-1-60960-741-8