Ranjai Baidya on Muck Rack

Ranjai Baidya

As seen in: MDPI
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Articles

Addressing the Non-Stationarity and Complexity of Time Series Data for Long-Term Forecasts

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By Ranjai Baidya, Sang-Woong Lee
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Ranjai Baidya Ranjai Baidya Scilit Preprints.org Google Scholar and Sang-Woong Lee Sang-Woong Lee Scilit Preprints.org Google Scholar * Pattern Recognition and Machine Learning Lab, Department of AI·Software, Gachon University, Seongnam 13120, Republic of Korea * Author to whom correspondence should be addressed. Appl. Sci.
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Simulation and Real-Life Implementation of UAV Autonomous Landing System Based on Object Recognition and Tracking for Safe Landing in Uncertain Environments

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By Ranjai Baidya, Heon Jeong
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 12 January 2024 / Approved: 12 January 2024 / Online: 12 January 2024 (15:10:20 CET) Baidya, R.; Jeong, H. Simulation and Real-Life Implementation of UAV Autonomous Landing System Based on Object Recognition and Tracking for Safe Landing in Uncertain Environments. Preprints 2024, 2024011037. https://doi.org/10.20944/preprints202401.1037.v1 Baidya, R.; Jeong, H.
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Anomaly Detection in Time Series Data Using Reversible Instance Normalized Anomaly Transformer

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By Heon Jeong, Ranjai Baidya
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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