Browsing by Author "Meena, M."

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Exploring an overview of machine learning techniques for identifying diabetes: A review
(Institute of Electrical and Electronics Engineers Inc., 2025) Rohith, R.; Umaa Mahesswari, G.; Anbarasi, N.; Meena, M.; Vijayalakshmi, S.; Trisha, D.S.
Diabetes is among the most severe long-term complications of metabolic disease, typically arising from higher levels of blood sugar spurred on by either inadequate insulin synthesis or inappropriate insulin use by the body. Numerous health problems, including nerve damage, renal problems, and heart disease, may arise from it. Controlling diabetes and avoiding its complications requires proper treatment, which includes medication and lifestyle modifications. The goal of this review study is to highlight recent developments and problems in the area of diabetes identification by analysing lot of Machine Learning (ML) approaches. Conventional ML-based approaches are among the main categories into which the review divides current methodologies. We explore the techniques, guiding concepts, and noteworthy algorithms for each category, offering a thorough analysis of their advantages as well as suggestions for future research. Â© 2025 IEEE.
Microwave photonic signal generation using a quadratic FBG based optoelectronic oscillator
(Institute of Physics, 2025) Renuka, B.; Shivaputra, A.; Ramesh, S.; Mandi, M.V.; Meena, M.; Singh, M.
We proposed an optoelectronic oscillator (OEO), incorporating a dual parallel Mach-Zehnder modulator (DP-MZM) and quadratic fiber Bragg grating (Q-FBG) for microwave photonic (MWP) applications. The suggested system combines the unique dispersive and reflective properties of the Q-FBG to achieve enhanced frequency stability and spectral purity. The Q-FBG facilitates precise control over the oscillation frequency by introducing quadratic phase modulation, effectively suppressing spurious modes and improving phase noise performance. Experimental results demonstrate the capability of the OEO-QFBG system to generate low-phase-noise microwave signals with superior stability compared to conventional OEO designs. A 20 GHz microwave signal with low phase noise of -134.93 dBc Hz?1 at 10 kHz offset was generated. This work underscores the potential of integrating advanced photonic components, such as Q-FBGs, for advanced microwave photonics applications, including radar systems, communications, and high-precision instrumentation. © 2025 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Performance Improvement of Single-Loop Optoelectronic oscillator using Er-Yb codoped fiber Amplifier
(Institute of Electrical and Electronics Engineers Inc., 2023) Renuka, B.; Meena, M.; Singh, M.
This paper reports a low phase noise single-loop optoelectronic oscillator (OEO) using Er-Yb codoped fiber amplifier (EYDFA). Its performance is compared with Erbium-Doped Fiber Amplifier (EDFA) in terms of the Quality factor (Q), phase noise, and eye diagrams. The opti-system simulation confirms 36.14 Q-factor and -149.08 dBc/Hz phase noise at 10 kHz offset frequency with Er-Yb codoped fiber amplifier. Also, the reliability study is performed using different fiber loop lengths to determine the optimized OEO design. The proposed OEO generates a 10 GHz microwave signal with low-frequency drift along a 5 km optical fiber loop, which is suitable for X-band radar applications. Â© 2023 IEEE.