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Academic Articles & Research Papers
Showing 20 of 529 academic articles
Nicodemo Abate, Diego Ronchi, Sara Elettra Zaia, Gabriele Ciccone et al. • Land
(2025)
This study presents a multi-resolution and multi-temporal remote sensing approach to assess human-induced changes in cultural landscapes, with a focus on the archaeological site of Amrit (Syria) within the MapDam project. By integrating sat...
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Open Access (DOAJ)
DOI: 10.3390/land14112233
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jtte.2023.10.002
Johannes Leiner, Vincent Pellissier, Sebastian König, Sven Hohenstein et al. • Respiratory Research
(2022)
Abstract Background Severe acute respiratory infections (SARI) are the most common infectious causes of death. Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both i...
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Open Access (DOAJ)
DOI: 10.1186/s12931-022-02180-w
Sebastian Raschka (2015)
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effect...
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Longhao Zhang, Hongzhen Cui, Xiaoyue Zhu, Guilong Zhang et al. • BMC Neurology
(2026)
Abstract Background Accurately assessing recovery in patients with prolonged disorders of consciousness (PDoC) is essential for evaluating the therapeutic efficacy and optimizing clinical care. However, substantial individual variability an...
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Open Access (DOAJ)
DOI: 10.1186/s12883-026-05183-y
Ryunosuke Noda, Daisuke Ichikawa, Yugo Shibagaki • Scientific Reports
(2024)
Abstract Minimal change disease (MCD) is a common cause of nephrotic syndrome. Due to its rapid progression, early detection is essential; however, definitive diagnosis requires invasive kidney biopsy. This study aims to develop non-invasiv...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-73898-4
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
Julian Cendrero, Julio Gonzalo, Marcos Galletero, Ivar Zapata • IEEE Access
(2022)
A time-series of numerical data and a sequence of time-ordered documents are often correlated. This paper aims at modeling the impact that the underlying themes discussed in the text data have on the time series. To do so, we introduce an o...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3202960
Benjamin Hunter, Sumeet Hindocha, Richard W. Lee • Cancers
(2022)
Improving the proportion of patients diagnosed with early-stage cancer is a key priority of the World Health Organisation. In many tumour groups, screening programmes have led to improvements in survival, but patient selection and risk stra...
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DOI: https://doi.org/10.3390/cancers14061524
PMC: 8946688
Mobayode O. Akinsolu, Khalil Zribi • Inventions
(2023)
In this paper, the growing significance of data analysis in manufacturing environments is exemplified through a review of relevant literature and a generic framework to aid the ease of adoption of regression-based supervised learning in man...
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Open Access (DOAJ)
DOI: 10.3390/inventions8010032
Ramón Sanguino, Nilgün Çağlarırmak Uslu, Pınar Karahan-Dursun, Caner Özdemir et al. • World
(2025)
Education–employment mismatch represents a persistent structural issue across Europe, especially among young people. In line with the digital transformation, green transformation and population aging, new jobs are emerging every day, and so...
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Open Access (DOAJ)
DOI: 10.3390/world6040143
suzy elnokoudy • المجلة العلمية للدراسات والبحوث المالية والتجارية
(2025)
The present paper, thus, investigates the link between AI-disclosure in annual reports and firm performance in the Egyptian financial industry. It explains how the number of appertained AI-words in the corporate disclosures would correspond...
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Open Access (DOAJ)
DOI: 10.21608/cfdj.2024.326666.2065
Shuai Zhao, Frede Blaabjerg, Huai Wang • IEEE Transactions on Power Electronics
(2020)
This is a preprint version of the manuscript submitted to IEEE on June 4, 2020. This paper gives an overview of the Artificial Intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, con...
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DOI: https://doi.org/10.1109/tpel.2020.3024914
Saied Pirasteh, Zohreh Bazvand, Naseh Miri, Zhaoxi Fang et al. • Geo-spatial Information Science
(2026)
Over recent decades, the decline of oak trees, which has emerged as the most significant challenge to the Zagros forests (ZFs), poses serious threats to carbon storage (CS) and economic valuation, jeopardizing the ecological and economic su...
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Open Access (DOAJ)
DOI: 10.1080/10095020.2026.2682739
Heather Marriott, Renata Kabiljo, Guy P Hunt, Ahmad Al Khleifat et al. • Acta Neuropathologica Communications
(2023)
Abstract Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease lands...
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Open Access (DOAJ)
DOI: 10.1186/s40478-023-01686-8
Anantaya Timtong, Atthaphon Ariyarit, Wanwanut Boongsood, Prasert Aengchuan et al. • Results in Engineering
(2024)
This research evaluates the use of artificial intelligence to enhance the accuracy of predictions for mixed-mode I/III fracture toughness in polymethyl methacrylate . Traditionally, assessing fracture toughness relies heavily on destructive...
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Open Access (DOAJ)
DOI: 10.1016/j.rineng.2024.103289
Emine Kambur • Florya Chronicles of Political Economy
(2015)
Emotional intelligence and artificial intelligence have become quite popular concepts in the relevant literature in recent years.This article combines these concepts.It examines how emotional intelligence affects artificial intelligence and...
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Open Access
DOI: https://doi.org/10.17932/iau.fcpe.2015.010/fcpe_v07i2004
Philipp Fuchs, Ursula Schmidt-Erfurth, Leonard M. Coulibaly, Hrvoje Bogunovic et al. • Scientific Reports
(2025)
Abstract To investigate the impact of retinal fluid dynamics on visual outcomes in patients with treatment-naïve neovascular age-related macular degeneration (nAMD) treated in the real world over 5 years using approved AI-based fluid monito...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-17417-z
Christian Basile, Stefan D. Anker, Gianluigi Savarese • Global Cardiology
(2025)
Heart failure with reduced ejection fraction (HFrEF) exhibits significant sex-based differences in clinical presentation, management, and outcomes. This study aimed to evaluate these differences using data from the Swedish Heart Failure Reg...
DOAJ
Open Access (DOAJ)
DOI: 10.4081/cardio.2025.73
Sathya P, Gnanasekaran P • Applied Artificial Intelligence
(2023)
Crop yield forecasting has been well studied in recent decades and is significant in protecting food security. Crop growth is a complex phenomenon that depends on various factors. Machine learning and deep learning trends have emerged as im...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/08839514.2023.2175113