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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
NEAR FIELD LOCALIZATION OF MOVING SOURCES WITH REM ALGORITHMS
📌 3 Key Takeaways
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Objective & Hypothesis:NEAR FIELD LOCALIZATION OF MOVING SOURCES WITH REM ALGORITHMS
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Key Findings & Data:NEAR FIELD LOCALIZATION OF MOVING SOURCES WITH REM ALGORITHMS
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Conclusion & Impact:NEAR FIELD LOCALIZATION OF MOVING SOURCES WITH REM ALGORITHMS
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:REM (Recursive Expectation Maximization) · near field source localization
Abstract
NEAR FIELD LOCALIZATION OF MOVING SOURCES WITH REM ALGORITHMS
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Cite This Article
ÇEKLİ, S., ÇEKLI, E., KABAOĞLU, N. (2012). NEAR FIELD LOCALIZATION OF MOVING SOURCES WITH REM ALGORITHMS. Electrica, Cilt: 9 Sayı: 1, 769–779. https://ajindex.com/articles/1017541