Milav Dabgar

Scholarly Sounds

Science EN ↓ 101 episoder

Scholarly Sounds transforms cutting-edge research papers into engaging audio overviews. Hosted by Milav Dabgar, discover the latest breakthroughs in AI, Machine Learning, IoT, Electronics, and Computer Engineering. Perfect for students, professionals, and tech enthusiasts who want to stay updated without reading hundreds of papers. Complex research made simple, delivered to your ears.

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Forfatter

Milav Dabgar

Kategori

Science

Podcastens hjemmeside

podcasters.spotify.com

Seneste episode

8. sep. 2025

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Episoder

A Dual-Stream Convolution-GRU-Attention Network for Automatic Modulation Classification 24.08.2025 33:12

A Dual-Stream Convolution-GRU-Attention Network for Automatic Modulation Classification. This episode delves into the fascinating world of Automatic Modulation Classification (AMC) and introduces a novel approach using a Dual-Stream Convolutional-GRU-Attention Network. We'll explore how this architecture enhances the accuracy and efficiency of classifying different modulation types in wireless...