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Academic Articles & Research Papers
Showing 20 of 74 academic articles
Aravind SEENI, Bernd SCHÄFER • INCAS Bulletin
(2023)
The design process of a Mars rover is driven by multiple design constraints, namely overall mass, power consumption and volume (dimensions). Various systems, such as mobility, manipulation, handling, power, thermal, communication, navigatio...
DOAJ
Open Access (DOAJ)
DOI: 10.13111/2066-8201.2023.15.1.8
Yu Zhang, Lin Zhao, Shiyuan Hu • Scientific Reports
(2025)
Abstract Scientific assessment of cultural ecosystem services (CESs) levels in urban parks and refined analysis of their spatial equity are essential for residents’ social well-being. However, traditional assessment methods often fail to ca...
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Open Access (DOAJ)
DOI: 10.1038/s41598-025-18288-0
Alexander F. Gelbukh • International Conference on Hybrid Intelligent Systems (HIS)
(2005)
Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, th...
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DOI: https://doi.org/10.1109/ichis.2005.79
Manar Ashkanani, Alanoud AlAjmi, Aeshah Alhayyan, Zahraa Esmael et al. • Inventions
(2025)
Traffic management systems play a crucial role in smart cities, especially because increasing urban populations lead to higher traffic volumes on roads. This results in increased congestion at intersections, causing delays and traffic viola...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/inventions10010014
Zeeshan Javed, Gon-Woo Kim • IEEE Access
(2022)
With the recent developments in computer vision, vision-based odometry plays an increasingly important role in the field of autonomous systems. However, using traditional visual odometry or simultaneous localization and mapping (vSLAM) only...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3204870
Frank R. Burden, David Alan Winkler • Methods in molecular biology
(2008)
Bayesian regularized artificial neural networks (BRANNs) are more robust than standard back-propagation nets and can reduce or eliminate the need for lengthy cross-validation. Bayesian regularization is a mathematical process that converts ...
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DOI: https://doi.org/10.1007/978-1-60327-101-1_3
Chunxu Qin, Yiran Ma, Huijuan Liang, Zhifan Wang et al. • Modelling
(2026)
The end-winding insulation structure of stator windings in pumped-storage generator units is complex, with pronounced electric field concentration under out-of-phase conditions, making them critical concerns in insulation design and conditi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/modelling7050190
Qi‐Jun Zhang, K.C. Gupta • Artech House, Inc. eBooks
(2000)
From the Publisher:
Discover the new, unconventional alternatives for conquering RF and microwave design and modeling problems using neural networks information processing systems that can learn, generalize, and even allow model developm...
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Kevin L. Moore • IEEE Potentials
(1992)
Artificial neural networks are explained, and the different types are described. Three different tasks for which they are suitable are discussed. They are pattern classification and associative memory, self-organization and feature extracti...
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DOI: https://doi.org/10.1109/45.127697
Nir Shlezinger, Yonina C. Eldar, Stephen Boyd • IEEE Access
(2022)
Decision making algorithms are used in a multitude of different applications. Conventional approaches for designing decision algorithms employ principled and simplified modelling, based on which one can determine decisions via tractable opt...
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DOI: https://doi.org/10.1109/access.2022.3218802
Xinxin Yu, Yimeng Wang, Long Chen, Weihua Li et al. • Journal of Pharmaceutical Analysis
(2025)
Activity cliffs (ACs) are generally defined as pairs of similar compounds that only differ by a minor structural modification but exhibit a large difference in their binding affinity for a given target. ACs offer crucial insights that aid m...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jpha.2025.101317
Lijian Zhang, Guangfu Liu • Advances in Mathematical Physics
(2021)
Ceramic image shape 3D image modeling focuses on of ceramic that was obtained from the camera imaging equipment such as 2D images, by normalization, gray, filtering denoising, wavelet image sharpening edge enhancement, binarization, and sha...
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Open Access (DOAJ)
DOI: 10.1155/2021/4343255
Ruihui Mu, Xiaoqin Zeng • KSII Transactions on Internet and Information Systems
(2019)
With the advent of big data, deep learning technology has become an important research direction in the field of machine learning, which has been widely applied in the image processing, natural language processing, speech recognition and on...
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Open Access
DOI: https://doi.org/10.3837/tiis.2019.04.001
Jan Kukačka, Vladimir Golkov, Daniel Cremers • arXiv (Cornell University)
(2017)
Regularization is one of the crucial ingredients of deep learning, yet the term regularization has various definitions, and regularization methods are often studied separately from each other. In our work we present a systematic, unifying t...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1710.10686
WANG Sili, ZHANG Ling, YANG Heng, LIU Wei • Nongye tushu qingbao xuebao
(2023)
[Purpose/Significance] Deep learning for language modeling is one of the major methods and advanced technologies to enhance language intelligence of machines at present, which has become an indispensable important technical means for automa...
DOAJ
Open Access (DOAJ)
DOI: 10.13998/j.cnki.issn1002-1248.23-0251
Zhong‐Qiu Zhao, Peng Zheng, Shou-Tao Xu, Xindong Wu • IEEE Transactions on Neural Networks and Learning Systems
(2019)
Due to object detection's close relationship with video analysis and image understanding, it has attracted much research attention in recent years. Traditional object detection methods are built on handcrafted features and shallow trainable...
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Open Access
DOI: https://doi.org/10.1109/tnnls.2018.2876865
Osvaldo Simeone • Cambridge University Press eBooks
(2022)
This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering probl...
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DOI: https://doi.org/10.1017/9781009072205
Oishi Jyoti, Md. Samiul Habib, Nguyen Hoang Hai, S. M. Abdur Razzak • IEEE Access
(2025)
We present a tunable broadband terahertz (THz) metamaterial absorber with a structurally simple, single-layered vanadium dioxide (VO2) elliptical ring resonator. This design achieves a wide, near-perfect absorption band (3.5–5 THz) w...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3631711
Mengyuan Zhu, Jiawei Wang, Xiao Yang, Yu Zhang et al. • Eco-Environment & Health
(2022)
With the rapid increase in the volume of data on the aquatic environment, machine learning has become an important tool for data analysis, classification, and prediction. Unlike traditional models used in water-related research, data-driven...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.eehl.2022.06.001
PMC: 10702893
Christopher E. Lawson, Jose Manuel Martí, Tijana Radivojević, Sai Vamshi R. Jonnalagadda et al. • Metabolic Engineering
(2020)
Machine learning provides researchers a unique opportunity to make metabolic engineering more predictable. In this review, we offer an introduction to this discipline in terms that are relatable to metabolic engineers, as well as providing ...
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DOI: https://doi.org/10.1016/j.ymben.2020.10.005