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Academic Articles & Research Papers
Showing 14 of 94 academic articles
Hari P. Paudel, Madhava Syamlal, Scott E. Crawford, Yueh‐Lin Lee et al. • ACS Engineering Au
(2022)
Quantum computing and simulations are creating transformative opportunities by exploiting the principles of quantum mechanics in new ways to generate and process information. It is expected that a variety of areas ranging from day-to-day ac...
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DOI: https://doi.org/10.1021/acsengineeringau.1c00033
Siva Raja Sindiramutty, Noor Zaman Jhanjhi, Chong Eng Tan, Navid Ali Khan et al. • Advances in information security, privacy, and ethics book series
(2024)
The logistics sector plays a crucial role in the worldwide economy by facilitating the efficient and punctual transportation of commodities and services. Nevertheless, the growing reliance on technological and digital infrastructure has hig...
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DOI: https://doi.org/10.4018/979-8-3693-3816-2.ch001
Aayush Manish Chitnis • International Journal of Science and Research (IJSR)
(2024)
In an increasingly interconnected digital world, the rise in sophisticated cyberattacks pose significant threats to individuals, businesses and governments.This research paper explores the role of blockchain technology in enhancing cybersec...
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DOI: https://doi.org/10.21275/sr24811013654
Hashita Joyram, Kannan Govindan, Robin Nunkoo • Cleaner Engineering and Technology
(2022)
Green building technologies (GBTs) have gained significant momentum as a result of the environmental, energy management and societal problems within the building sector. The insulated block/eco-block is a GBT, which consists of an insulatio...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.clet.2022.100480
Roberto Carlos Bautista Ramos, Sang Guun Yoo • IEEE Access
(2025)
This systematic literature review provides a comprehensive analysis of the most critical cybersecurity challenges in DevOps environments. Through a rigorous examination of 62 peer-reviewed articles published between 2016 and 2025, we identi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3582892
Yinsheng Zhang, Xudong Yang, Yongbo Cheng, Xiaojun Wu et al. • Current Research in Food Science
(2024)
Background: Fruit freshness detection by computer vision is essential for many agricultural applications, e.g., automatic harvesting and supply chain monitoring. This paper proposes to use the multi-task learning (MTL) paradigm to build a d...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.crfs.2024.100733
Hao Huang, G.T.S. Ho, V. Tang, E.W.H. Chow et al. • Journal of Advanced Research
(2026)
Introduction: Crack damage is a significant issue in tunnel environments, requiring efficient and reliable detection to ensure structural integrity. Many existing solutions are computationally expensive, making them unsuitable for the tight...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jare.2025.11.052
Lei Zhou, Chu Zhang, Fei Liu, Zhengjun Qiu et al. • Comprehensive Reviews in Food Science and Food Safety
(2019)
Deep learning has been proved to be an advanced technology for big data analysis with a large number of successful cases in image processing, speech recognition, object detection, and so on. Recently, it has also been introduced in food sci...
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DOI: https://doi.org/10.1111/1541-4337.12492
Ognjen Radišić-Aberger, Peter Burggräf, Fabian Steinberg, Alexander Becher et al. • Supply Chain Analytics
(2024)
By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an opportunity to counteract undesired outcomes of processes. An especially complex variation of business processes is the engineering...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.sca.2024.100087
Quan Quan, Zhongqiang Zhang • Journal of Mathematics
(2022)
With the rapid development of economy and information technology, traditional manufacturing industry is facing severe challenges. Enterprises need to rectify the traditional manufacturing industry and realize the transformation from traditi...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2022/8572424
Tomasz Rokicki, Piotr Bórawski, Aneta Bełdycka-Bórawska, Bogdan Klepacki • Applied Sciences
(2026)
Port activity anomalies are rare but may signal operational constraints relevant to supply chains. The aim of the study was to develop and empirically evaluate a calibrated machine learning framework for forecasting rare, algorithmically de...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app16189017
Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane • Journal of Applied Artificial Intelligence
(2024)
In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...
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DOI: https://doi.org/10.2139/ssrn.4831911
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
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