I’m excited to share that has a new research article published in IEEE Access – one of the leading open-access journals for multidisciplinary engineering and technology research.
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Sinha Namrata's research interests lie at the intersection of [insert specific areas of research, e.g., artificial intelligence, data mining, and machine learning]. Her work focuses on developing innovative solutions to real-world problems, leveraging cutting-edge techniques and methodologies. With a strong foundation in [insert relevant field or discipline], Sinha Namrata has expanded her expertise to encompass a range of applications, from [insert specific areas of application]. sinha namrata ieee access link
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https://ieeexplore.ieee.org/document/1234567 I’m excited to share that has a new
Namrata Sinha is a researcher specializing in high-gain, wideband filtering antennas, with work published in IEEE Access that focuses on integrating filtering capabilities into antenna designs for enhanced selectivity and efficiency [1]. Her research is particularly relevant for 5G communication systems, providing compact solutions that mitigate electromagnetic interference through advanced aperture-coupled patch designs [1]. For a list of her publications, visit the IEEE Xplore Digital Library.
To locate the specific paper on IEEE Xplore without getting lost in unrelated search results, follow these structural steps: 1. Use the Official IEEE Xplore Advanced Search Her work focuses on developing innovative solutions to
: As a fully open-access publication, papers are available to everyone globally without a subscription barrier.
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.