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Academic Articles & Research Papers
Showing 20 of 611 academic articles
Pierre Baldi, Søren Brunak (2001)
In this book Pierre Baldi and Soren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed both at biologists and biochemists who nee...
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Rahman Shafique, Khadija Kanwal, Venkata Chunduri, Gyu Sang Choi et al. • Scientific Reports
(2025)
Abstract Regular inspection of the health of railway tracks is crucial to maintaining reliable and safe train operations. Some factors including cracks, rail discontinuity, ballast issues, burn wheels, super-elevation, loose nuts and bolts,...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-14763-w
G. Baaklini, G. Baaklini, R. El Hourany, M. Fakhri et al. • Ocean Science
(2022)
The eastern Mediterranean surface circulation is highly energetic and composed of structures interacting stochastically. However, some main features are still debated, and the behavior of some fine-scale dynamics and their role in shaping t...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/os-18-1491-2022
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/ac7df6
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
Yingtao Zhang, Wenhe Li, Yang Wu, Huili Wei • Applied Sciences
(2026)
The leakage detection of oil and gas is very important for the safe operation of pipelines. The existing working condition recognition methods have limitations in processing and capturing complex multi-category leakage signal characteristic...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16010480
Joanna Siwek, Konrad Pierzyński, Przemysław Siwek, Adrian Wójcik et al. • Applied Sciences
(2024)
This paper introduces a novel artificial intelligence model that integrates artificial empathy into the decision-making processes of collaborative agent systems. The existing models of collaborative behaviors, especially in swarm applicatio...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15010008
Siyuan Liu, Yingchao Fan, Qi Hu, Bing Li et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2025)
Hyperspectral image (HSI) has more spectral information than conventional images, which helps to distinguish targets in a complex scene more accurately. However, HSI typically has a low spatial resolution, which limits their application sce...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/JSTARS.2025.3586076
ShangJun Li, Avijit Deb Nath, Md. Hadi Al-amin • Frontiers in Artificial Intelligence
(2026)
The emergence of cooperation among self-interested agents in social dilemmas remains a central unsolved problem in evolutionary game theory, multi-agent systems, and behavioral science. While memory-one reciprocal strategies such as Tit-for...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2026.1844089
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 ...
DOAJ
Open Access (DOAJ)
DOI: 10.69987/JACS.2024.41204
Yongjun Xu, Xin Liu, Xin Cao, Changping Huang et al. • The Innovation
(2021)
Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day li...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.xinn.2021.100179
PMC: 8633405
Hao Xu, Yuntian Chen, Dongxiao Zhang • Advanced Science
(2022)
Abstract The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the “black box” model. Fundamental limitations remain, however, that impede the pac...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/advs.202204723
Xin Wang, Peng Cao • Mathematics
(2020)
In this paper, we prove the following result by perturbation technique. If q is a quasinilpotent element of a Banach algebra and spectrum of p + q for any other quasinilpotent p contains at most n values then q n = 0 . Appl...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math8071163
Francesco Toscano, Costanza Fiorentino, Nicola Capece, Ugo Erra et al. • IEEE Access
(2024)
Digital Precision Agriculture (DPA) is a comprehensive approach to agronomic management that utilizes advanced technologies, such as sensor data analysis and automation, to optimize crop productivity, enhance farm income, and minimize envir...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3401018
Ebtisam AlJalaud, Manar Hosny • Mathematics
(2024)
The ‘black box’ nature of machine learning (ML) approaches makes it challenging to understand how most artificial intelligence (AI) models make decisions. Explainable AI (XAI) aims to provide analytical techniques to understand the behavior...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math12233727
Lili Huang • Journal of Mathematics
(2023)
In order to solve the problem of ship route planning at sea, we reduce the economic cost of ship navigation planning and improve the efficiency of ship navigation. As a result, the goal of this work is to delve into the mathematical modelin...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2023/5671089
Philip C. Jackson • ACM SIGART Bulletin
(1974)
"Are we intelligent enough to understand intelligence? One approach to answering this question is "artificial intelligence," the field of computer science that studies how machines can be made to act intelligently. This book is intended to ...
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Open Access
DOI: https://doi.org/10.1145/1045190.1045191
Roy Omer Freedle • Psychology Press eBooks
(2014)
This volume consists of a series of essays written by experts, most of whom participated in a conference conducted by the Educational Testing Service to explore how current fields of artificial intelligence might contribute to ETS's plans t...
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DOI: https://doi.org/10.4324/9781315808178
E. Fathy, A.E. Hassanien • Alexandria Engineering Journal
(2022)
This paper illustrates how the fuzzy harmonic mean technique can efficiently solve fully fuzzy multilevel multiobjective linear programming (FFMMLP) problems. First, at each level, the FFMMLP problem can be converted into three crisp multio...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.aej.2022.01.021
Othman Abdullah Almatroud, Viet-Thanh Pham, Giuseppe Grassi, Mohammad Alshammari et al. • Mathematics
(2023)
The use of the advancements in memristor technology to construct chaotic maps has garnered significant research attention in recent years. The combination of memristors and nonlinear terms provides an effective approach to proposing novel m...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math11173725