Low Noise Amplifier (LNA) Design Operates in 2.4 GHz
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This project presents the design and simulation of an LNA operating at 2.4 GHz (S-Band).
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This project presents the design and simulation of an LNA operating at 2.4 GHz (S-Band).
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In this project, the application of CNN in the domain of flower recognition, which has large implications for agriculture and marketing, is presented.
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This project explains the design, simulation, and performance analysis of a dual-band circularly polarized annular ring patch antenna intended for GPS-Aided GEO-Augmented Navigation (GAGAN) receivers.
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This project is about the general analysis of machine learning models for heart attack prediction by using various analytical techniques to gain awareness of the structure and characteristics of the dataset.
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This report details the design, simulation, and optimization of a two-stage CMOS operational amplifier to achieve specific performance metrics such as voltage gain, bandwidth, phase margin, and load capacitance, utilizing SPICE simulations and adhering to 65 nm CMOS technology constraints.
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This paper examines the current limitations in preterm labor prediction and proposes the development of a machine learning-based, wearable device for real-time monitoring of biosignals to improve early detection and prenatal care.
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This survey paper provides a comprehensive review of recent advances and applications of machine learning approaches in the interdisciplinary field of bioengineering, specifically in the field of biosignal processing.
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This project discusses slot antennas and how their electromagnetic properties are impacted by their physical characteristics.
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This project utilizes graph theory and adjacency matrices to determine and optimize the shortest travel routes between seven major cities, demonstrating practical applications of data structures and programming concepts.
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A comprehensive study of piezoelectric materials, exploring their properties, applications in various industries, and their potential for future advancements in energy harvesting and storage.