Machine learning-based optical modulation format recognition is essential for dynamic optical networks. Convolutional Neural Networks (CNNs) can analyze signal space diagrams directly from raw data. Specifically, CNNs...
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A localized surface plasmon resonance sensor based on hollow-core fibers for high RI detection is proposed, which has good sensing performance and obtains a high sensitivity of 47623.83 nm/RIU in the RI range of 1.430...
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In recent years, natural energy has been increasingly popular as a source of electricity. Silicon-based solar cell devices are employed to harvest the natural energy, which uses the photovoltaic effect to convert sunl...
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Potatoes are a major crop globally, but diseases can seriously harm their growth and quality. Recently, there's been a lot of interest in using machine learning to identify potato diseases from pictures. In this s...
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Hybrid logic is a popular approach for designing full adders (FAs), balancing factors like speed, power, and driving capability. This work proposes a novel 4-transistor (4T) XOR-XNOR circuit for hybrid FAs. It deliver...
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The next generation of webpages is heavily influenced by large scale, high concurrency, and massive amounts of data. Building data-intensive web apps has made *** popular and effective. We employed scenario testing an...
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We demonstrate that the Wasserstein distance W1 corresponding to optical tomograms of nonclassical states faithfully captures changes that arise due to photon addition to or subtraction from these states. W1 is a true...
We demonstrate that the Wasserstein distance W1 corresponding to optical tomograms of nonclassical states faithfully captures changes that arise due to photon addition to or subtraction from these states. W1 is a true measure of distance in the quantum state space and is sensitive to the underlying interference structures that arise in the tomogram after changes in the photon number. Our procedure is universally applicable to the cat and squeezed states, the former displaying the characteristic negativity in its Wigner function, while the latter does not do so. We explicate this in the case of the squeezed vacuum and even coherent states and show that photon addition (or subtraction) is mirrored in the shift in the intensity of specific regions in the tomogram. Further, we examine the dependence of W1 on the squeezing parameter and its sensitivity to different quadratures.
In order to improve indoor air quality, optimize energy consumption and avoid the accidents due to gas leakage, this paper proposes an intelligent air conditioning system that integrates several sensors such as DHT11,...
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A cutting-edge online marketplace that uses blockchain technology to transform how we purchase and sell goods and services is known as a blockchain- powered e-commerce platform. This platform uses a decentralized netw...
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Explainable AI is an evolving area that deals with understanding the decision making of machine learning models so that these models are more transparent, accountable, and understandable for humans. In particular, pos...
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