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Menampilkan 1–2 dari 2 artikel
Leveraging Variational Quantum-Classical Algorithms for Enhanced Lung Cancer Prediction
Journal of Computing Theories and Applications
Vol 2
, No 3
(2024)
This work explores the potential of PennyLane and variational quantum-classical algorithms (VQCA) to forecast lung cancer using a structured dataset. The VQCA model performs exceptionally well, with flawless training, validation, and test accuracies of 1.0, demonstrating its capacity to identify patterns in the dataset and provide reliable predictions successfully. Contrarily, the accuracy of the quantum neural network (QNN) and classical neural network (NN) models is lower, demonstrating the be...
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A simplified approach for single carrier visible light communication transceiver using off-the-shelf components
Over the past decades, the demand for high-speed data transmission has grown exponentially, necessitating broadband technology integration to satisfy the emerging data-hungry society. This concern has engendered the proposition of a simplified optical wireless transceiver module using off-the-shelf electronic devices. According to the transistor to transistor logic levels, the transmitter module was made up of a single negative-positive-negative (NPN) transistor operated as a switch to drive an...
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