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Academic Articles & Research Papers
Showing 15 of 195 academic articles
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 ...
DOAJ
Open Access (DOAJ)
DOI: 10.2166/wst.2023.237
Ethem Alpaydın • The MIT Press eBooks
(2021)
A concise overview of machine learning—computer programs that learn from data—the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we use every day, from product ...
OPENALEX
Open Access
DOI: https://doi.org/10.7551/mitpress/13811.001.0001
Christian Janiesch, Patrick Zschech, Kai Heinrich • Electronic Markets
(2021)
Abstract Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of a...
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DOI: https://doi.org/10.1007/s12525-021-00475-2
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-73898-4
Fatemeh Bahador, Azam Sabahi, Samaneh Jalali, Fatemeh Ameri • پیاورد سلامت
(2023)
Background and Aim: Diabetes is one of the most common metabolic diseases in Iran and the fifth leading cause of death all over the world. Its spread around the world has created new methods in biomedical research, including artificial inte...
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Open Access (DOAJ)
Mustafa Sevindik, Ayşenur Gürgen, Aras Fahrettin Korkmaz, Ilgaz Akata • Molecules
(2025)
In this study, extraction conditions were optimized to maximize the biological activities of extracts obtained from Paralepista flaccida, an edible mushroom species. Extraction processes were carried out using an ultrasonically assisted sys...
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Open Access (DOAJ)
DOI: 10.3390/molecules30163317
Gerhard Heßler, Karl H. Baringhaus • Molecules
(2018)
Artificial Intelligence (AI) plays a pivotal role in drug discovery. In particular artificial neural networks such as deep neural networks or recurrent networks drive this area. Numerous applications in property or activity predictions like...
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DOI: https://doi.org/10.3390/molecules23102520
PMC: 6222615
Ling Wang, Xing Liu, Guangcai Zhang, Fuxun Qi et al. • Advanced Science
(2025)
Abstract Neuromorphic computing systems convert multimodal signals to electrical responses for artificial intelligence recognition. Energy is consumed during both the response enhancement and depression, making the systems suffer from high ...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/advs.202500521
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/10095020.2026.2682739
Korawege N. C. Jayasena, Battur Batkhishig, Babak Nahid-Mobarakeh, Ali Emadi • IEEE Access
(2025)
Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification of bearing fault severity is essential for predict...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3589750
Franko Pandžić, Ivan Sudić, Tomislav Capuder, Ivan Pavičić • IET Generation, Transmission & Distribution
(2024)
Abstract The cost for covering active power losses makes a significant item in transmission system operators (TSO) annual budgets, and still it received limited attention in the existing literature. The focus of accurate power loss forecast...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/gtd2.13205
Faisal Kalota • Education Sciences
(2024)
Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some ...
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DOI: https://doi.org/10.3390/educsci14020172
AN Ramesh, C. Kambhampati, J. Quinn Monson, Philip J. Drew • Annals of The Royal College of Surgeons of England
(2004)
INTRODUCTION: Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting ou...
OPENALEX
Open Access
DOI: https://doi.org/10.1308/147870804290
PMC: 1964229
Sanda-Maria Avram, Mihai Oltean • Mathematics
(2022)
Determining the author of a text is a difficult task. Here, we compare multiple Artificial Intelligence techniques for classifying literary texts written by multiple authors by taking into account a limited number of speech parts (prepositi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10234589
Rawda Serag, M. Bassyouni, Fathy Shokry, Monica Toderaș et al. • Desalination and Water Treatment
(2026)
Membrane wettability is an important factor influencing separation efficiency, fouling resistance, water flux, and durability. Although membrane wetting has been extensively studied, few reviews have quantitatively examined the relationship...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dwt.2026.101951