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Showing 17 of 777 academic articles

Cobdock: an accurate and practical machine learning-based consensus blind docking method

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

AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders

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...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyt.2024.1516065

Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach

Matthias Jung, Hanna Rieder, Marco Reisert, Susanne Rospleszcz et al. • Journal of Cachexia, Sarcopenia and Muscle (2024)

Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...

DOAJ Open Access (DOAJ) DOI: 10.1002/jcsm.13527

Enhancing Online Security: A Novel Machine Learning Framework for Robust Detection of Known and Unknown Malicious URLs

Shiyun Li, Omar Dib • Journal of Theoretical and Applied Electronic Commerce Research (2024)

The rapid expansion of the internet has led to a corresponding surge in malicious online activities, posing significant threats to users and organizations. Cybercriminals exploit malicious uniform resource locators (URLs) to disseminate har...

DOAJ Open Access (DOAJ) DOI: 10.3390/jtaer19040141

Artificial Intelligence in Cardiology

Kipp W. Johnson, Jessica Torres Soto, Benjamin Scott Glicksberg, Khader Shameer et al. • Journal of the American College of Cardiology (2018)

Artificial intelligence and machine learning are poised to influence nearly every aspect of the human condition, and cardiology is not an exception to this trend. This paper provides a guide for clinicians on relevant aspects of artificial ...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.jacc.2018.03.521

Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492

Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption

Kit Fotheringham, Helen Smith • Future Healthcare Journal (2024)

This article contributes to the ongoing debate about legal liability and responsibility for patient harm in scenarios where artificial intelligence (AI) is used in healthcare.We note that due to the structure of negligence liability in Engl...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.fhj.2024.100181

Projects Distribution Algorithms for Regional Development

Mahdi Jemmali • Advances in Distributed Computing and Artificial Intelligence Journal (2021)

This paper aims to find an efficient method to assign different projects to several regions seeking an equitable distribution of the expected revenue of projects. The solutions to this problem are discussed in this paper. This problem is NP...

DOAJ Open Access (DOAJ) DOI: 10.14201/ADCAIJ2021103293305

REVIEW OF THEORETICAL APPROACHES TO USING OF ARTIFICIAL INTELLIGENCE FOR PLANNING PROBLEMS IN ECONOMICS

Gocha Ugulava • ეკონომიკური პროფილი (2022)

Artificial intelligence methods and technologies are increasingly included in human's everyday life. Managing actors in the context of their activities, from the planning stage to the decision-making stage, are faced with the need to operat...

DOAJ Open Access (DOAJ) DOI: 10.52244/ep.2021.22.11

Penerapan Artificial Intelligence pada Non Player Character Menggunakan Algoritma Collision Avoidance System dan Random Number Generator pada Game 2D "Balap Egrang"

Asep Saeful Milak, Eka Wahyu Hidayat, Aldy Putra Aldya • Jurnal Teknologi Informasi dan Ilmu Komputer (2020)

Game adalah salah satu media teknologi yang populer di kalangan masyarakat baik dari anak kecil maupun orang dewasa sebagai media hiburan. game itu sendiri memiliki banyak sekali genre atau jenisnya. Penelitian ini mengembangkan game dengan...

DOAJ Open Access (DOAJ) DOI: 10.25126/jtiik.2020711816

Bayesian Artificial Intelligence

Kevin B. Korb, Ann E. Nicholson • Chapman & Hall/CRC eBooks (2003)

As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in m...

OPENALEX DOI: https://doi.org/10.1201/9780203491294

Artificial intelligence and statistics

Bin Yu, Karl Kumbier • Frontiers of Information Technology & Electronic Engineering (2018)

Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during the generation of data, the development of algorithms, and the evaluation of results....

OPENALEX Open Access DOI: https://doi.org/10.1631/fitee.1700813

Artificial Intelligence

David Poole, Alan K. Mackworth • Cambridge University Press eBooks (2010)

Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial in...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511794797

Prediction of stability coefficient of open-pit mine slope based on artificial intelligence deep learning algorithm

Shuai Wang, Zongbao Zhang, Chao Wang • Scientific Reports (2023)

Abstract The mining of open pit mines is widespread in China, and there are many cases of landslide accidents. Therefore, the problem of slope stability is highlighted. The stability of the slope is a factor that directly affects the mining...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-023-38896-y