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Deep Learning Method for Prediction of Planar Radiating Sources from Near-Field Intensity Data

Research article (2019 IEEE International Symposium on Electromagnetic Compatibility, Signal & Power Integrity (EMC+SIPI), 2019) · cited 13× · AI/ML
academia openalex:W2972249799
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Deep Learning Method for Prediction of Planar Radiating Sources from Near-Field Intensity Data

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Deep Learning Method for Prediction of Planar Radiating Sources from Near-Field Intensity Data is a scholarly article[1].

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  • Deep Learning Method for Prediction of Planar Radiating Sources from Near-Field Intensity Data's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep Learning Method for Prediction of Planar Radiating Sources from Near-Field Intensity Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-method-for-prediction-of-planar-radiating-sources-from-near-field-intensity-data
MLA “Deep Learning Method for Prediction of Planar Radiating Sources from Near-Field Intensity Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-method-for-prediction-of-planar-radiating-sources-from-near-field-intensity-data.
BibTeX @misc{4ortxyz_deep-learning-method-for-prediction-of-planar-radiating-sources-from-near-field-intensity-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning Method for Prediction of Planar Radiating Sources from Near-Field Intensity Data}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-method-for-prediction-of-planar-radiating-sources-from-near-field-intensity-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning Method for Prediction of Planar Radiating Sources from Near-Field Intensity Data — https://4ort.xyz/entity/deep-learning-method-for-prediction-of-planar-radiating-sources-from-near-field-intensity-data (retrieved 2026-05-24)

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