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Published in 2024 at "Sustainable Development"
DOI: 10.1002/sd.3221
Abstract: This paper scrutinizes how adaptive learning technologies and artificial intelligence (AI) are transforming today's education by making it personalized, accessible, and efficient as well as leading people to accepting, addressing, and mitigating sustainable development. Recently,…
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Keywords:
driven adaptive;
education;
adaptive learning;
sustainable educational ... See more keywords
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Published in 2021 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2021.108620
Abstract: Abstract In this paper, a hardware architecture of real-time dynamic data collection is designed, and the method of direct motion control based on the feedback data is used to realize the automatic berthing of the…
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Keywords:
research data;
method;
driven adaptive;
adaptive berthing ... See more keywords
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Published in 2019 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2019.1590874
Abstract: ABSTRACT The recently proposed Bilateral Filter Luminance Proportional (BFLP) method extracts the high-frequency details from panchromatic (Pan) image via a multiscale bilateral filter and adds them proportionally to the multispectral (MS) image. Although this approach…
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Keywords:
adaptive multiscale;
mtf driven;
bilateral filter;
multiscale bilateral ... See more keywords
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Published in 2025 at "Chinese Physics Letters"
DOI: 10.1088/0256-307x/42/12/120001
Abstract: This paper develops a residual-based adaptive refinement physics-informed neural networks (RAR-PINNs) method for solving the Gross–Pitaevskii (GP) equation and Hirota equation, two paradigmatic nonlinear partial differential equations (PDEs) governing quantum condensates and optical rogue waves,…
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Keywords:
equation;
method;
driven adaptive;
data driven ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2872779
Abstract: This paper is concerned with data-driven adaptive tracking control for unknown autonomous marine vehicles (AMVs) with uncertainties and disturbances. By deploying the data-driven technique and observer design, an equivalent data model of the AMV is…
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Keywords:
control unknown;
data driven;
tracking control;
adaptive tracking ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3011496
Abstract: Energy conservation techniques are crucial to achieving high reliability in the Internet of Things (IoT) services, especially in the Massive IoT (MIoT), which stringently requires cost-effective and low-energy consumption for battery-powered devices. Most of the…
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Keywords:
user driven;
internet things;
adaptive sampling;
driven adaptive ... See more keywords
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Published in 2025 at "IEEE Network"
DOI: 10.1109/mnet.2025.3620562
Abstract: The Internet of Energy (IoE) integrates renewable energy generators, smart-grid controllers, and extensive sensor networks, creating a highly dynamic attack surface that traditional signature-based intrusion detection systems (IDSs) often fail to secure. We propose a…
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Keywords:
ioe;
driven adaptive;
energy ioe;
energy ... See more keywords
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Published in 2025 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2025.3613492
Abstract: Adaptive impedance matching between antennas and radio frequency front-end (RFFE) power modules is essential for mobile communication systems. To address the matching performance degradation caused by parasitic effects in practical tunable matching networks (TMNs), this…
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Keywords:
driven adaptive;
adaptive impedance;
data driven;
impedance matching ... See more keywords
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Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.3009992
Abstract: This article addresses an output-feedback flocking control problem for a swarm of autonomous surface vehicles (ASVs) to follow a leading ASV guided via a parameterized path. The leading and following ASVs are subject to completely…
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Keywords:
output feedback;
control;
driven adaptive;
data driven ... See more keywords
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Published in 2021 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2020.3022503
Abstract: The feedforward control is becoming increasingly important in ultra-precision stages. However, the conventional model-based methods cannot achieve expected performance in new-generation stages since it is hard to obtain the accurate plant model due to the…
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Keywords:
frequency;
data driven;
adaptive iterative;
iterative learning ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3162268
Abstract: Virtual metrology (VM) is widely used for yield management and control in semiconductor manufacturing owing to its high real-time inspection, low cost, and convenient maintenance. However, the multimodal characteristics of batch processes are ignored in…
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Keywords:
driven adaptive;
virtual metrology;
prediction;
metrology ... See more keywords