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Academic Articles & Research Papers
Showing 20 of 203 academic articles
Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza et al. • BMC Medical Informatics and Decision Making
(2025)
Abstract Deep learning has significantly contributed to medical imaging and computer-aided diagnosis (CAD), providing accurate disease classification and diagnosis. However, challenges such as inter- and intra-class similarities, class imba...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12911-025-02966-0
Vishal Kumar Goar, Nagendra Singh Yadav • Advances in business information systems and analytics book series
(2024)
This chapter focuses on providing a complete grasp of the foundations of machine learning (ML). Machine learning is a rapidly evolving domain with wide-ranging applications, from natural language processing to autonomous vehicles. This chap...
OPENALEX
DOI: https://doi.org/10.4018/979-8-3693-1598-9.ch002
Zhainagul Khamitova, Gulmira Omarova, Akerke Akanova, Aliya Abdukarimova et al. • Computers
(2026)
This study presents NORIA, an availability-aware multitask learning framework for clinical prediction from incomplete electronic health records (EHRs). We analyzed a public dataset of 77,724 patients and 107 numerical features. To prevent t...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers15100723
S. Vijayan, Chiranji Lal Chowdhary • Scientific Reports
(2025)
Abstract The agricultural industry significantly relies on autonomous systems for detecting and analyzing rice diseases to minimize financial and resource losses, reduce yield reductions, improve processing efficiency, and ensure healthy cr...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-92646-w
Subrata Chakraborty, Biswajeet Pradhan • Sensors
(2024)
Machine learning (ML) models have experienced remarkable growth in their application for multimodal data analysis over the past decade [...]...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24092874
Geoffrey Holmes, A. Donkin, Ian H. Witten • Australian and New Zealand Intelligent Information Systems Conference (ANZIIS)
(2002)
WEKA is a workbench for machine learning that is intended to aid in the application of machine learning techniques to a variety of real-world problems, in particular, those arising from agricultural and horticultural domains. Unlike other m...
OPENALEX
DOI: https://doi.org/10.1109/anziis.1994.396988
Ahmed M. Asfahani • Discover Sustainability
(2024)
Abstract This study elucidates the transformative influence of data integration on talent management in the context of evolving technological paradigms, with a specific focus on sustainable practices in human resources. Historically anchore...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43621-024-00212-7
Amjad M. Al Tobi, Ishbel Duncan • Information
(2019)
Network traffic exhibits a high level of variability over short periods of time. This variability impacts negatively on the accuracy of anomaly-based network intrusion detection systems (IDS) that are built using predictive models in a batc...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info10050159
A. Imran, Muna Elsadig, Jongsuk Ro • AIP Advances
(2026)
A novel unsteady squeezing flow of a non-Newtonian ternary hybrid nanofluid is investigated by focusing Eyring–Powell fluid rheology in an infinite channel. The nanofluid consists of AA1072, AA1075, and ZrO2 nanoparticles suspended in blood...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/5.0337148
Walaa Mohamed Najeb • Al-Mağallah Al-ʿilmiyyaẗ Li Kulliyyaẗ Al-Adāb - Ǧāmiʿaẗ Asyūṭ
(2026)
Technology has undergone rapid advancements, significantly impacting various sectors, with the tourism industry emerging as one of the most benefited. This research examines several key aspects, including: An overview of Cairo and Dubai as ...
DOAJ
Open Access (DOAJ)
DOI: 10.21608/aakj.2025.429364.2248
Mochammad Hannats Hanafi Ichsan, Cecilia Sik-Lanyi, Tibor Guzsvinecz • Discover Computing
(2025)
Abstract New technologies, such as Virtual Reality (VR) / Virtual Environment (VE), which focus on User Experience (UX) to provide more engaging and immersive experiences, can help people grow their skills. Technology advancement is also an...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s10791-025-09703-1
Sebastian Lins, Konstantin D. Pandl, Heiner Teigeler, Scott Thiebes et al. • Business & Information Systems Engineering
(2021)
Artificial intelligence Á Cloud computing Á Machine learning as a service 1 The Roots of Artificial Intelligence as a Service 1.1 The Emergence of Artificial Intelligence Services Artificial Intelligence (AI) is undoubtedly one of the most ...
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DOI: https://doi.org/10.1007/s12599-021-00708-w
B.S. Prashanth, Manoj Kumar, Ariful Hoque, Nasser Al Muraqab et al. • International Review of Economics & Finance
(2026)
The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iref.2026.104916
Ł. Wilk, Ł. Wilk, D. Mielczarek, W. Ostrowski et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2022)
The use of deep machine learning methods for semantic classification of city mesh models is one of the current trends in geoscience development. Thanks to the thriving development of Convolutional Neural Networks (CNNs) it is now achievable...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLIII-B2-2022-485-2022
Ida Merete Enholm, Emmanouil Papagiannidis, Patrick Mikalef, John Krogstie • Information Systems Frontiers
(2021)
Abstract Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to AI in order...
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DOI: https://doi.org/10.1007/s10796-021-10186-w
Dino Petrosa, Pamela Haverkamp, Jana Gerta Backes, David Crampen et al. • Discover Sustainability
(2025)
Abstract The construction sector significantly contributes to environmental issues and often relies on Life Cycle Assessment (LCA) for the quantification and optimization of its environmental impacts. One of the most time- and labour-intens...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43621-025-02203-8
Yizhen Wei, David (Jingjun) Xu, Kai Li • Journal of Theoretical and Applied Electronic Commerce Research
(2026)
As artificial intelligence (AI) increasingly engages in managing consumer interactions on e-commerce platforms, an important question arises: how do public AI-generated replies to negative reviews compare with human replies in fostering con...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jtaer21030094
Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger • Electronic Markets
(2022)
Abstract Within the last decade, the application of “artificial intelligence” and “machine learning” has become popular across multiple disciplines, especially in information systems. The two terms are still used inconsistently in academia ...
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DOI: https://doi.org/10.1007/s12525-022-00598-0
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access
(2023)
Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3332243
Amal Kilani, Ahmed Ben Hamida, Habib Hamam • IGI Global eBooks
(2017)
In this paper, we present a profound literature review of the Artificial Intelligence (AI). After defining it, we briefly cover its history and enumerate its principal fields of application. We name for example information system, commerce,...
OPENALEX
DOI: https://doi.org/10.4018/978-1-5225-2255-3.ch010