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20162026
most citedDeep convolutional neural networks for estimating porous material parameters with ultrasound tomography

65 citations · 176 across the 12 of their papers we have counts for

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eess.SP2024

Adapting to Reality: Over-the-Air Validation of AI-Based Receivers Trained with Simulated Channels

Riku Luostari, Dani Korpi, Mikko Honkala +1

Recent research shows that integrating artificial intelligence (AI) into wireless communication systems can significantly improve spectral efficiency. However, most AI-based receiv…