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Academic Articles & Research Papers
Showing 20 of 435 academic articles
Simon Willcock, Javier Martínez‐López, Danny A. P. Hooftman, Kenneth J. Bagstad et al. • Ecosystem Services
(2018)
Recent developments in machine learning have expanded data-driven modelling (DDM) capabilities, allowing artificial intelligence to infer the behaviour of a system by computing and exploiting correlations between observed variables within i...
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DOI: https://doi.org/10.1016/j.ecoser.2018.04.004
Qinxia HAO, Haitao SHANG • Meikuang Anquan
(2023)
In order to accurately predict the risk level of coal mine gas explosion accidents, based on the feature vector in line with the actual situation, the particle swarm optimization probabilistic neural network (RWPSO-PNN) is improved to reali...
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Open Access (DOAJ)
DOI: 10.13347/j.cnki.mkaq.2023.10.034
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...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3641537
A. Boehnlein, M. Diefenthaler, Nobuo Sato, M. Schram et al. • Reviews of Modern Physics
(2022)
Nuclear physics deals with complex systems, large datasets, and complicated correlations between parameters, which makes the field suitable for the application of machine learning techniques. Machine learning can help classify and analyze d...
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Open Access
DOI: https://doi.org/10.1103/revmodphys.94.031003
Hongyu Wang, Lin Wang, Lei Shi, Fei Wang et al. • Journal of Orthopaedic Surgery
(2026)
Background Superior labrum anterior and posterior (SLAP) lesions are a common cause of shoulder pain and instability. Accurate diagnosis remains challenging in clinical practice. This study aims to develop and evaluate radiomics models and ...
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Open Access (DOAJ)
DOI: 10.1177/10225536261418429
Jörn Lötsch, Alfred Ultsch • Pain
(2017)
1. Introduction Pain and pain chronification are incompletely understood and unresolved medical problems that continue to have a high prevalence.14 It has been accepted that pain is a complex phenomenon.2,32,72 Contemporary methods of compu...
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DOI: https://doi.org/10.1097/j.pain.0000000000001118
PMC: 5895117
Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding et al. • BioData Mining
(2024)
Abstract Background Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease worldwide. A considerable number of DN patients have experienced irreversible end-st...
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Open Access (DOAJ)
DOI: 10.1186/s13040-024-00369-x
Pablo Neirz, Héctor Allende, Carolina Saavedra • Scientific Reports
(2026)
Abstract High predictive accuracy is frequently misinterpreted as evidence of causal understanding or population-level signal. Models can exploit spurious correlations, confounding, or protocol-induced artefacts, while post-hoc explanations...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-52883-z
Bhagyajyothi Rao, Md Gulzarull Hasan, Bandhavya Putturaya, Asha Kamath et al. • Stats
(2026)
Childhood stunting remains a major public health challenge in India and is influenced by multiple socioeconomic and environmental factors. This ecological study examined district-level correlates of childhood stunting, including Crimes Agai...
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Open Access (DOAJ)
DOI: 10.3390/stats9020034
Jiaoling Qin, Jiaoling Qin, Sunzhe Li, Sunzhe Li et al. • Frontiers in Marine Science
(2023)
Accurately monitoring and predicting the large-scale dynamic changes of water levels in coastal zones is essential for its protection, restoration and sustainable development. However, there has been a challenge for achieving this goal usin...
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Open Access (DOAJ)
DOI: 10.3389/fmars.2022.1113387
Zhao D, Qin D, Yin L, Yang Q • Pharmacogenomics and Personalized Medicine
(2023)
Danya Zhao,1 Danping Qin,2 Liming Yin,3 Qiang Yang4 1The First School of Clinical Medicine of Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China; 2Department of Gastroenterology, The First Affiliated Hospital of Zheji...
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Open Access (DOAJ)
Oqbah Salim Atiyah • Al-Kitab Journal for Pure Sciences
(2024)
Earthquakes are among the most dangerous natural disasters that can cause major losses to buildings and threaten human lives. The research community is very interested in the topic of earthquakes because they occur suddenly and predicting t...
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Open Access (DOAJ)
DOI: 10.32441/kjps.09.01.p1
Harry Surden • Colorado Law Scholarly Commons (University of Colorado Colorado Springs)
(2014)
This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some ...
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Open Access
Heechan Han, Boran Kim, Kyunghun Kim, Donghyun Kim et al. • Water Science and Technology
(2023)
Precipitation is one of the driving forces in water cycles, and it is vital for understanding the water cycle, such as surface runoff, soil moisture, and evapotranspiration. However, missing precipitation data at the observatory becomes an ...
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Open Access (DOAJ)
DOI: 10.2166/wst.2023.237
Arfat Ahmad Khan, Muhammad Asif Nauman, Rab Nawaz Bashir, Rashid Jahangir et al. • IEEE Access
(2022)
Accurate Evapotranspiration for saline soils (ETs) is important as well as challenging for the reclamation of saline soils through an effective leaching process. Evapotranspiration (ET) by FAO-56 Penman-Monteith standard method is complex, ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3206009
Francesco Carnazza, Federico Carollo, Dominik Zietlow, Sabine Andergassen et al. • New Journal of Physics
(2022)
Full information about a many-body quantum system is usually out-of-reach due to the exponential growth—with the size of the system—of the number of parameters needed to encode its state. Nonetheless, in order to understand the complex phen...
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Open Access (DOAJ)
DOI: 10.1088/1367-2630/ac7df6
Jian Liu, Fangyu Liu, Linbing Wang • Journal of Traffic and Transportation Engineering (English ed. Online)
(2024)
The increasing impact of the greenhouse effect on ecosystems is prompting transportation agencies to seek methods for reducing CO2 emissions during pavement construction and maintenance. Additionally, the laboratory mix design process, whic...
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Open Access (DOAJ)
DOI: 10.1016/j.jtte.2023.10.002
Majid Riaz, Pedro Guerra, Raffaele Gravina • Sensors
(2025)
This paper introduces an innovative EEG sensor-based computational framework that establishes a pioneering nexus between personality trait quantification and neural dynamics, leveraging biosignal processing of brainwave activity to elucidat...
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Open Access (DOAJ)
DOI: 10.3390/s25247634
PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses • Journal of Nigerian Society of Physical Sciences
(2025)
Selection of important features is very vital in machine learning tasks involving high-dimensional dataset with large features. It helps in reducing the dimensionality of a dataset and improving model performance. Most of the feature select...
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Open Access (DOAJ)
DOI: 10.46481/jnsps.2025.2273
Erik J. Larson • Harvard University Press eBooks
(2021)
Futurists are certain that humanlike AI is on the horizon, but in fact engineers have no idea how to program human reasoning. AI reasons from statistical correlations across data sets, while common sense is based heavily on conjecture. Erik...
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DOI: https://doi.org/10.2307/j.ctv322v43j