Home »
Academic Articles & Research Papers
Showing 20 of 61 academic articles
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
Joanna Łabędzka • Problemy Eksploatacji
(2019)
Businesses today are incredibly data rich, and dealing with large amount of data, so making some inferences andconclusions, depending on the organisation size and complexity of its processes, it has been a challenge, especially that thenext...
DOAJ
Open Access (DOAJ)
DOI: 10.5604/01.3001.0055.5944
Rishi V. Parikh, Alan S. Go, Ankeet S. Bhatt, Thida C. Tan et al. • Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
(2023)
Background There is a need to develop electronic health record–based predictive models for worsening heart failure (WHF) events across clinical settings and across the spectrum of left ventricular ejection fraction (LVEF). Methods and Resul...
DOAJ
Open Access (DOAJ)
DOI: 10.1161/JAHA.122.029736
Gaurav Mohindru, Koushik Mondal, Haider Banka • CAAI Transactions on Intelligence Technology
(2021)
Abstract In the era of automatic task processing or designing complex algorithms, to analyse data, it is always pertinent to find real‐life solutions using cutting‐edge tools and techniques to generate insights into the data. The data‐drive...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cit2.12032
Priyal Singhal, Praneet Saurabh, Mayank Sharma, Jyoti Badge et al. • Discover Artificial Intelligence
(2026)
Abstract Air pollution constitutes one of the most pressing environmental and public health crises of the twenty-first century, disproportionately affecting rapidly urbanising nations such as India. Accurate prediction of the Air Quality In...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-02131-0
Yuming Wang, Stephen M Croucher, Stephen M Croucher, Erika Pearson • Frontiers in Communication
(2021)
Twitter is a powerful tool for world leaders to disseminate public health information and to reach citizens. While Twitter, like other platforms, affords world leaders the opportunity to rapidly present information to citizens, the discours...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcomm.2021.732399
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf (2019)
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a single dataset. This approach requires a large number of training examples and performs best for well-defined a...
OPENALEX
cc-by
DOI: https://doi.org/10.18653/v1/n19-5004
Sanjay Goswami, Kshama D. Dhobale, Ravindra D. Wavhale, Barnali Goswami et al. • Applied AI Letters
(2022)
Abstract The field of cancer nanomedicine has made significant progress, but its clinical translation is impeded by many challenges, such as the difficulty in analyzing intracellular anticancer drug release by the nanocarriers due to the la...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ail2.50
Su-Hsin Huang, Joon-Khim Loh, Jinn-Tsong Tsai, Ming-Feng Houg et al. • Chinese Journal of Cancer
(2017)
Abstract Background Few studies of breast cancer surgery outcomes have used longitudinal data for more than 2 years. This study aimed to validate the use of the artificial neural network (ANN) model to predict the 5-year mortality of breast...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s40880-017-0192-9
Daniel Alexis Zárate-Rendón, David Godoy Padilla, Samuel Pizarro Carcausto, Alberto del Águila et al. • Parasite Epidemiology and Control
(2023)
This study aimed to develop maps for Fasciola hepatica infection occurrence in dairy cattle in the districts of Matahuasi and Baños in the Peruvian central highlands. For this, a model based on the correlation between environmental variable...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.parepi.2023.e00329
Dulani Meedeniya • Chapman & Hall/CRC eBooks
(2023)
This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising....
OPENALEX
public-domain
DOI: https://doi.org/10.1201/9781003390824
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai et al. • npj Digital Medicine
(2018)
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extraction of curated predictor variabl...
OPENALEX
cc-by
DOI: https://doi.org/10.1038/s41746-018-0029-1
PMC: 6550175
Priya Mathur, Dheeraj Kumar, Farhan Sheth, Hammad Shaikh et al. • Scientific Reports
(2025)
Abstract Accurately predicting the specific heat capacity of nanofluids is critical for optimizing their performance in engineering and industrial applications. This study explores twelve machine learning and deep learning models using conv...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-28268-z
Hao Wang, Xuan Wang, Yusheng Du, You Wang et al. • European Journal of Radiology Open
(2025)
Objectives: This study aimed to develop a predictive model for lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) patients by deep learning radiomic (DLRad) and clinical features. Methods: This study included 271 thyroid lobes...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ejro.2025.100639
Marek L. Borowiec, Rebecca B. Dikow, Paul B. Frandsen, Alexander J. McKeeken et al. • Methods in Ecology and Evolution
(2022)
Abstract Deep learning is driving recent advances behind many everyday technologies, including speech and image recognition, natural language processing and autonomous driving. It is also gaining popularity in biology, where it has been use...
OPENALEX
cc-by-nc
DOI: https://doi.org/10.1111/2041-210x.13901
Noor Hafizah Khairul Anuar, Mohd Amri Md Yunus, Muhammad Ariff Baharudin, Sallehuddin Ibrahim et al. • Journal of Computing Research and Innovation
(2024)
Environmental factors like temperature, solar irradiance, and rain may influence the health and productivity of stingless bees. This paper aims to investigate the best approaches applied in meliponiculture to predict beehive health and prod...
DOAJ
Open Access (DOAJ)
Charles Nicholson, Lex Beattie, Matthew Beattie, Talayeh Razzaghi et al. • PLoS ONE
(2022)
COVID-19 is a global pandemic threatening the lives and livelihood of millions of people across the world. Due to its novelty and quick spread, scientists have had difficulty in creating accurate forecasts for this disease. In part, this is...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0267558
Asiguli Adili, Maihesumu Aikemu, Karanvir Singh Rana, Yihan Wei et al. • Scientific Reports
(2025)
Abstract This study aims to identify risk factors associated with diabetic peripheral neuropathy (DPN) in patients with type 2 diabetesmellitus (T2DM) and to develop a predictive model to support clinical decision-making. A total of 1,001 p...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-19922-7
Ziad F. Doughan, Sari S. Itani • IEEE Access
(2025)
This paper introduces Rectified Discriminatory Delta-Adjust (RDDA), a novel methodology that enhances interpolation-based predictive modeling through adaptive sensitivity parameters. Building upon the foundational Delta-Adjust algorithm, RD...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3641537
Khader Shameer, Kipp W. Johnson, Benjamin Scott Glicksberg, Joel T. Dudley et al. • Heart
(2018)
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find hidden insights without being explicitly programmed where to look. These include a family of operations encomp...
OPENALEX
DOI: https://doi.org/10.1136/heartjnl-2017-311198