2 publications

  • Published Subscription Review Article

    TinyML-Based Real-Time Industrial Fault Detection Using Vibration Signals

    Abstract: Industrial rotating machinery is commonly monitored through vibration measurements because changes in bearing condition can alter signal amplitude, impulsiveness, and spectral distribution. Cloud-centred analytics may introduce communication dependence, bandwidth demand, and response delay. Tiny Machine Learning (TinyML) offers a complementary approach by executing compact inference locally on resource-constrained edge hardware. This paper presents a reproducible, deployment-oriented workflow for vibration-based machine-state classification using statistical and spectral features with small classifiers suitable …

    Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article

  • Published Subscription Review Article

    Design and Simulation of an Optical Fiber Communication System Using MATLAB

    Abstract: Optical fiber communication is widely used for high-capacity data transmission because of its large bandwidth, low attenuation, immunity to electromagnetic interference, and support for wavelength-division multiplexing. These properties make fiber a fundamental medium in access, enterprise, submarine, and backbone networks, where high data rates, low error probability, and reliable transmission over distances ranging from buildings and campuses to metropolitan and long-haul links are required. This paper presents a MATLAB-oriented design …

    Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 3, 2026 Read article

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