Search Results - "Mageswari, N."

Attack prevention in IoT through hybrid optimization mechanism and deep learning framework by Nagaraju, Regonda, Pentang, Jupeth Toriano, Abdufattokhov, Shokhjakhon, CosioBorda, Ricardo Fernando, Mageswari, N., Uganya, G.

“…The Internet of Things (IoT) connects schemes, programs, data management, and operations, and as they continuously assist in the corporation, they may be a…”
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An α-factor architecture for RS decoder implemented on 90 nm CMOS technology for computer computing applications devices by Mageswari, N., Mahadevan, K., Kumar, R. Mohan

“…In Computing devices in the world wide, where number of computing and communication systems are increased rapidly. In the channel noise has greater impact on…”
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Advanced machine learning for real-time tibial bone force monitoring in runners using wearable sensors by Ambala, Srinivas, Agarkar, Aarti Amod, Raskar, Punam Sunil, Gundu, Venkateswarlu, Mageswari, N., Geetha, T.S.

“…This study explores the innovative integration of machine learning (ML) with wearable sensor technologies for the real-time monitoring of tibial bone force in…”
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Advanced hybrid CNN-Bi-LSTM model augmented with GA and FFO for enhanced cyclone intensity forecasting by Alijoyo, Franciskus Antonius, Gongada, Taviti Naidu, Kaur, Chamandeep, Mageswari, N., Sekhar, J.C., Ramesh, Janjhyam Venkata Naga, El-Ebiary, Yousef A.Baker, Ulmas, Zoirov

“…Predicting cyclone intensity is an important aspect of weather forecasting since it influences disaster preparation and response. This framework addresses the…”
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Fluorescence chemosensor for fluoride ion using quinoline-derived probe: Molecular logic gate application by Bhaskar, R., Mageswari, N., Sankar, D., Vinoth Kumar, Gujuluva Gangatharan

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Autonomous credit card fraud detection using machine learning approach by Femila Roseline, J, Naidu, GBSR, Samuthira Pandi, V., Alamelu alias Rajasree, S, Mageswari, Dr.N.

“…•The proposed research work focused on autonomous credit card fraud detection.•Long Short-Term Memory-Recurrent Neural Network is used for prediction…”
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