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Academic Articles & Research Papers
Showing 16 of 36 academic articles
Kiran Kumar Amireddy, P. V. R. Ravindra Reddy, C. Nagendranatha Reddy, P. Prabhakar Reddy • Frontiers in Sensors
(2026)
This review critically discusses the development of continuous monitoring biosensors and the technological developments that have facilitated the transition from one-off or periodic measurement sensors to longer-term, connected and autonomo...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fsens.2026.1968999
Thorsten Teutenberg • Wiley eBooks
(2025)
Laboratory digitization can dramatically improve automation, quality control, and data analysis, reduce human error, and ensure process reproducibility. However, cybersecurity threats can compromise sensitive data and disrupt laboratory ope...
OPENALEX
DOI: https://doi.org/10.1002/9783527843763.ch10
Nawel Huenchuleo, Samuel Sepúlveda, Alejandro Fernández • Applied Sciences
(2026)
Context: Modern quantum-computing experimentation generates heterogeneous, context-dependent execution data whose scientific value depends on preserving calibration state, compilation decisions, and run outcomes in a traceable and repositor...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16136346
Ashagrie Sharew Iyassu, Haile Mekonnen Fenta, Zelalem G. Dessie, Temesgen T. Zewotir • BMC Medical Informatics and Decision Making
(2024)
Abstract Background In causal analyses, some third factor may distort the relationship between the exposure and the outcome variables under study, which gives spurious results. In this case, treatment groups and control groups that receive ...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12911-024-02827-2
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
Armin D. Tavakkoli, BA, Megan A. Clark, BE, Alireza Kheirollah, PhD, Austin M. Sloop, MS et al. • Advances in Radiation Oncology
(2024)
Purpose: Ultra High Dose-Rate (UHDR) radiation has been reported to spare normal tissue, compared with Conventional Dose-Rate (CDR) radiation. However, important work remains to be done to improve the reproducibility of the FLASH effect. A ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.adro.2024.101492
J. Holler, P. Kedron • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2022)
Reproducible open science with FAIR data sharing principles requires research to be disseminated with open data and standardised metadata. Researchers in the geographic sciences may benefit from authoring and maintaining metadata from the e...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLVIII-4-W1-2022-201-2022
Arlene Casey, Emma Davidson, Michael Poon, Hang Dong et al. • BMC Medical Informatics and Decision Making
(2021)
BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in NLP application to r...
OPENALEX
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DOI: https://doi.org/10.1186/s12911-021-01533-7
PMC: 8176715
Jonas Rieger, Kostiantyn Yanchenko, Mattes Ruckdeschel, Gerret von Nordheim et al. • Studies in Communication, Media
(2024)
Pre-trained language models (PLM) based on transformer neural networks developed in the field of natural language processing (NLP) offer great opportunities to improve automatic content analysis in communication science, especially for the ...
DOAJ
Open Access (DOAJ)
DOI: 10.5771/2192-4007-2024-1-72
Hankiz Yilahun, Hangtian Zhao, Askar Hamdulla • Applied Sciences
(2025)
Few-shot relation extraction (RE) is a critical task in natural language processing (NLP), yet benchmark datasets for non-English languages, particularly Chinese, remain scarce. Owing to their narrow focus and insufficient coverage of relat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15031045
Hakje Yoo, Taeyong Sim • IEEE Access
(2022)
Coarse registration is the first step in determining the accuracy of surgical navigation. The purpose of this study was to present an automated coarse registration (ACR) methodology to improve the convenience and accuracy. For this purpose,...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3218458
Conrad H. Stansbury, Alessandra Lanzara • Software
(2023)
Scientific data acquisition is a problem domain that has been underserved by its computational tools despite the need to efficiently use hardware, to guarantee validity of the recorded data, and to rapidly test ideas by configuring experime...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/software2010005
J. W. Njoroge, M. Koeva, M. Farnaghi, D. Petrova-Antonova et al. • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2026)
Digital twins are increasingly used in smart buildings to monitor energy use. This requires reliable sensor data, geospatial information, and semantically rich 3D building geometry. However, building sensor data often has inconsistent sampl...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-annals-XII-4-W1-2026-251-2026
Ahmed Medhat Zayed, Arne Janssens, Pavlos Mamouris, Nicolas Delvaux • BMC Medical Informatics and Decision Making
(2024)
Abstract Background The integrity of clinical research and machine learning models in healthcare heavily relies on the quality of underlying clinical laboratory data. However, the preprocessing of this data to ensure its reliability and acc...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12911-024-02652-7
Elena Guerini-Rocco, Chiara Frascarelli, Joana Sorino, Francesca Maria Porta et al. • Applied Sciences
(2026)
Designing an optimal digital pathology workspace is essential to ensure diagnostic accuracy and safeguard the long-term well-being of pathologists. While digital pathology improves reproducibility, facilitates multidisciplinary collaboratio...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16126021
Bin Yu, Karl Kumbier • Frontiers of Information Technology & Electronic Engineering
(2018)
Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during the generation of data, the development of algorithms, and the evaluation of results....
OPENALEX
Open Access
DOI: https://doi.org/10.1631/fitee.1700813