Sinha Namrata Ieee Access: Link

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This paper presents an energy-efficient resource allocation scheme for IoT networks using machine learning techniques. The proposed scheme uses a deep reinforcement learning approach to optimize the resource allocation and reduce energy consumption. The paper has been widely cited and has received over 300 citations. sinha namrata ieee access link

You can find the most recent publications by searching for "Namrata Sinha" on the IEEE Xplore Digital Library. You can find the most recent publications by

In this work, we address these gaps by proposing a hybrid deep learning framework that fuses features from vibration spectrograms and raw current waveforms. Our contributions are: This will generate a list of all her papers indexed in IEEE

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A Namrata Sinha is associated with research in filtering antenna designs , particularly those involving slanted polarization and resonator co-design.