Sinha Namrata Ieee Access Better [best] Jun 2026

Another strand of research involves intrusion detection systems (IDS) for the Internet of Things. By combining ensemble learning with feature selection, Sinha Namrata achieved:

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For anyone serious about deploying AI in the real world, ignoring the lessons from Namrata’s IEEE Access papers is no longer an option. Her methods aren’t just different; they are quantifiably, reproducibly, and significantly . For anyone serious about deploying AI in the

Her designs often feature high isolation levels (exceeding 23.8 dB) and extremely low envelope correlation coefficients (ECC below 0.0021), which are critical for reducing interference in high-speed wireless networks. As of 2024-2025, the journal maintains a strong

As of 2024-2025, the journal maintains a strong standing in the scientific community: It holds a JCR Impact Factor of 3.6 .

If you are studying this paper for a project or literature review, the key takeaways are:

Reviewers from Manusights suggest that while it may not carry the same niche prestige as top-tier specialized transactions, it is an excellent fit for solid engineering work where are the primary goals. IEEE Access