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Nearest advocate: a novel event-based time delay estimation algorithm for multi-sensor time-series data synchronization
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Nearest advocate: a novel event-based time delay estimation algorithm for multi-sensor time-series data synchronization

Schranz, Christoph ; Mayr, Sebastian ; Bernhart, Severin ; Halmich, Christina

EURASIP journal on advances in signal processing, 2024-12, Vol.2024 (1), p.46-24, Article 46 [Periódico revisado por pares]

Cham: Springer International Publishing

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Classification of geogrid reinforcement in aggregate using machine learning techniques
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Classification of geogrid reinforcement in aggregate using machine learning techniques

Aregbesola, Samuel Olamide ; Byun, Yong-Hoon

International Journal of Geo-Engineering, 2024-12, Vol.15 (1), p.4-17, Article 4 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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3
Predicting game-induced emotions using EEG, data mining and machine learning
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Predicting game-induced emotions using EEG, data mining and machine learning

Lim, Min Xuan ; Teo, Jason

Bulletin of the National Research Centre, 2024-12, Vol.48 (1), p.57-10, Article 57 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Current advancements in B-cell receptor sequencing fast-track the development of synthetic antibodies
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Current advancements in B-cell receptor sequencing fast-track the development of synthetic antibodies

Gallo, Eugenio

Molecular biology reports, 2024-12, Vol.51 (1), p.134-134, Article 134 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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5
Packing optimization of practical systems using a dynamic acceleration methodology
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Packing optimization of practical systems using a dynamic acceleration methodology

Douglas, Christopher ; Huh, Jae Sung ; Jun, Sang Ook ; Kim, Il Yong

Journal of engineering and applied science (Online), 2024-12, Vol.71 (1), p.92-22, Article 92 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Accurate compressive strength prediction using machine learning algorithms and optimization techniques
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Accurate compressive strength prediction using machine learning algorithms and optimization techniques

Lan, Wenbin

Journal of engineering and applied science (Online), 2024-12, Vol.71 (1), p.1-20, Article 1 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
A low-cost robotic system for simultaneous localization and mapping
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A low-cost robotic system for simultaneous localization and mapping

Kassem, Ayman Hamdy ; Asem, Muhammad

Journal of engineering and applied science (Online), 2024-12, Vol.71 (1), p.158-15, Article 158 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses
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Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses

Sun, Tianming ; Feng, Bin ; Huo, Jinpeng ; Xiao, Yu ; Wang, Wengan ; Peng, Jin ; Li, Zehua ; Du, Chengjie ; Wang, Wenxian ; Zou, Guisheng ; Liu, Lei

Nano-micro letters, 2024-12, Vol.16 (1), p.14-14, Article 14 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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9
Innovative application of artificial intelligence in a multi-dimensional communication research analysis: a critical review
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Innovative application of artificial intelligence in a multi-dimensional communication research analysis: a critical review

Asif, Muhammad ; Gouqing, Zhou

Discover Artificial Intelligence, 2024-12, Vol.4 (1), p.37-30, Article 37 [Periódico revisado por pares]

Cham: Springer International Publishing

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10
Inspection prioritization of gravity sanitary sewer systems using supervised machine learning algorithms
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Inspection prioritization of gravity sanitary sewer systems using supervised machine learning algorithms

Loganathan, Karthikeyan ; Najafi, Mohammad ; Kermanshachi, Sharareh ; Maduri, Praveen Kumar ; Pamidimukkala, Apurva

Journal of infrastructure preservation and resilience, 2024-12, Vol.5 (1), p.9-12, Article 9 [Periódico revisado por pares]

Cham: Springer International Publishing

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