Relevant bibliographies by topics / Dragonfly and DraMS

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Conference papers

Academic literature on the topic 'Dragonfly and DraMS'

Author: Grafiati
Published: 14 September 2024
Last updated: 31 July 2025

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Journal articles on the topic "Dragonfly and DraMS"

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Rai, Ashok Kumar, Radha Senthilkumar, and Kannan Aruputharaj. "Framed Recurrent Neural Network with Mutated Dragonfly Search Optimization (FRNN-MDSO) for hyperspectral image based face recognition in real time door locking applications." Journal of Intelligent & Fuzzy Systems 41, no. 6 (2021): 6589–99. http://dx.doi.org/10.3233/jifs-210441.

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Face recognition is one of the best applications of computer recognition and recent smart house applications. Therefore, it draws considerable attention from researchers. Several face recognition algorithms have been proposed in the last decade, but these methods did not give the efficient outcome. Therefore, this work introduces a novel constructive training algorithm for smart face recognition in door locking applications. The proposed Framed Recurrent Neural Network with Mutated Dragonfly Search Optimization (FRNN-MDSO) Strategy is applied to face recognition application. The steady prepari
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Shata, Aya, and Michelle I. Seelig. "The Dragonfly Effect: Analysis of the Social Media Women’s Empowerment Campaign." Journal of Creative Communications, September 8, 2021, 097325862110365. http://dx.doi.org/10.1177/09732586211036551.

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Social media can advocate for social causes and catalyse audience support. To better understand the role of social media in advocacy communication, this article explores how advocates utilised Facebook to advocate for the ‘Taa Marbuta’ women empowerment campaign in Egypt. Our research draws on the dragonfly effect model and muted group theory as theoretical and analytical frameworks. In-depth interviews are conducted with advocates from all campaign partners who were directly involved in planning and managing the campaign. Following the dragonfly effect model, findings show that the campaign h
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Kazemi, Mohammad Mirzehi Kalate, Zohre Nabavi, and Danial Jahed Armaghani. "A novel Hybrid XGBoost Methodology in Predicting Penetration Rate of Rotary Based on Rock-Mass and Material Properties." Arabian Journal for Science and Engineering, October 28, 2023. http://dx.doi.org/10.1007/s13369-023-08360-0.

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AbstractPredicting the drill penetration rate is a fundamental requirement in mining operations, profoundly impacting both the cost-effectiveness of mining activities and strategic mine planning. Given the intricate web of factors influencing rotary drilling performance, the necessity for advanced modeling techniques becomes evident. To this end, the hybrid extreme gradient boosting (XGBoost) was utilized to gauge the penetration rate of rotary drilling machines, utilizing random search, grid search, Harris Hawk optimization (HHO), and the dragonfly algorithm (DA) as metaheuristic algorithms.
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Dissertations / Theses on the topic "Dragonfly and DraMS"

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Boulesteix, David. "Optimization of extraterrestrial organic matter extraction methods to detect and classify physical and (bio)chemical gnostic and agnostic bioindicators and biosignatures through a transversal analytical study." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASJ017.

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Au cours de cette thèse, nous avons fourni des éléments de réponse pour les problématiques d'exploration spatiale : i) Quelles signatures recherchons-nous pour des traces de vie et/ou une chimie prébiotique sur les surfaces planétaires de notre système solaire ? et ii) Comment pouvons-nous les détecter ? Quelle méthode de préparation des échantillons est la plus adéquate pour une analyse GC-MS spatiale ? ainsi que pour les problématiques fondamentales : i) Comment s'est déroulé la transition entre une chimie prébiotique abiotique et une chimie biotique ? Y a-t-il une limite nette ou un état de
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Books on the topic "Dragonfly and DraMS"

1

Cosgrove, Stephen. Dragonfly. Price Stern Sloan, 1987.

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James, Ellie. Shattered dreams: A Midnight dragonfly novel. St. Martin's Griffin, 2011.

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Sweet, J. H. Dragonfly and the Web of Dreams. Sourcebooks, Inc., 2008.

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Bush, Max. The voyage of the "Dragonfly". Anchorage Press, 1989.

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Cooper, Eleanor McCallie. Dragonfly Dreams. Koehler Books, 2021.

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Dragonfly Dreams. Wordrunner Press, 2022.

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Dragonfly Dreams. Page Publishing, Inc., 2018.

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Dragonfly Dreams. Page Publishing Inc., 2018.

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deMerle, Franki. Dragonfly Dreams. Crowe Press, 2013.

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deMerle, Franki. Dragonfly Dreams. iUniverse, Incorporated, 2010.

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Conference papers on the topic "Dragonfly and DraMS"

1

Coyle, D. B., Matthew W. Mullin, Paul R. Stysley, Michael J. Hersh, Bryan L. James, and Melissa G. Trainer. "Development of a Programmable UV Laser Source for the Dragonfly Mass Spectrometer (DraMS)." In UV and Higher Energy Photonics: From Materials to Applications 2022, edited by Gilles Lérondel, Yong-Hoon Cho, and Atsushi Taguchi. SPIE, 2022. http://dx.doi.org/10.1117/12.2644728.

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Mullin, Matthew W., D. Barry Coyle, Paul R. Stysley, et al. "Performance of the dragonfly mass spectrometer (DraMS) programmable UV laser source engineering test unit (ETU)." In Solid State Lasers XXXIII: Technology and Devices, edited by W. Andrew Clarkson and Ramesh K. Shori. SPIE, 2024. http://dx.doi.org/10.1117/12.3009989.

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Qian, Yihuan, Songwen Pei, Jihong Yuan, Dianle Zhou, Tong Liu, and Linghe Kong. "DRAM: Dragonfly Routing Algorithm on Multi-objects by Optimal Thresholds." In 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2021. http://dx.doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00031.

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