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Academic Articles & Research Papers
Showing 13 of 113 academic articles
Jing Wei, Xuan Chu, Xiangyu Sun, Kun Xu et al. • InfoMat
(2019)
Abstract Traditional methods of discovering new materials, such as the empirical trial and error method and the density functional theory (DFT)‐based method, are unable to keep pace with the development of materials science today due to the...
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DOI: https://doi.org/10.1002/inf2.12028
JUDE W. SHAVLIK, Thomas E. Deitterich, Thomas G. Dietterich (1991)
From the Publisher:
The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous ...
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Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang et al. • Applied Sciences
(2025)
The extraction of shape features from vector elements is essential in cartography and geographic information science, supporting a range of intelligent processing tasks. Traditional methods rely on different machine learning algorithms tail...
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Open Access (DOAJ)
DOI: 10.3390/app15052383
Stephen Marsland • Chapman & Hall/CRC eBooks
(2014)
A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing wo...
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DOI: https://doi.org/10.1201/b17476
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 ...
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Open Access
DOI: https://doi.org/10.7551/mitpress/13811.001.0001
Ashraf abdallah, Bara' Al-MISTAREHI, Amir SHTAYAT • JES: Journal of Engineering Sciences
(2025)
Agriculture is a vital component of Egypt's economy; therefore, using Digital Elevation Models (DEMs) in agricultural planning in Egypt has significant benefits regarding water management, site appropriateness assessment, flood risk mitigat...
DOAJ
Open Access (DOAJ)
DOI: 10.21608/jesaun.2024.326709.1374
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
Jen-Yu Wen, Chung-Fen Liu, Ming-Ting Chung, Yung-Chieh Tsai • Taiwanese Journal of Obstetrics & Gynecology
(2022)
Objective: To decrease multiple pregnancy risk and sustain optimal pregnancy chance by choosing suitable number of embryos during transfer, this study aims to construct artificial intelligence models to predict the pregnancy outcome and mul...
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Open Access (DOAJ)
DOI: 10.1016/j.tjog.2021.11.038
Pięta Piotr, Szmuc Tomasz • International Journal of Applied Mathematics and Computer Science
(2021)
Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications. Processing massive amounts of data generated by the IoT and stored in distributed space is not ...
DOAJ
Open Access (DOAJ)
DOI: 10.34768/amcs-2021-0046
Guoli Rao, Chengru Ju, Zhen Feng • Journal of Advanced Computing Systems
(2024)
This research examines the critical dependencies within US-China technology supply chains through advanced artificial intelligence methodologies, addressing significant economic security implications in an era of strategic competition. The ...
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Open Access (DOAJ)
DOI: 10.69987/JACS.2024.41204
Fabio Morandín-Ahuerma • International Journal of Research Publication and Reviews
(2022)
Artificial intelligence (AI) is the ability of a machine or computer system to simulate and perform tasks that would normally require human intelligence, such as logical reasoning, learning, and problem solving. Artificial intelligence is b...
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Open Access
DOI: https://doi.org/10.55248/gengpi.2022.31261
Sadettin Y. Ugurlu, David McDonald, Huangshu Lei, Alan M. Jones et al. • Journal of Cheminformatics
(2024)
Abstract Probing the surface of proteins to predict the binding site and binding affinity for a given small molecule is a critical but challenging task in drug discovery. Blind docking addresses this issue by performing docking on binding r...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13321-023-00793-x
Diego D. Díaz-Guerra, Marena de la C. Hernández-Lugo, Yunier Broche-Pérez, Carlos Ramos-Galarza et al. • Frontiers in Psychiatry
(2025)
IntroductionEvaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificia...
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Open Access (DOAJ)
DOI: 10.3389/fpsyt.2024.1516065