This paper gives a comprehensive analysis of the impact of soiling on the performance of a 100 kWP rooftop photovoltaic (PV) plant using a 2.5-year dataset from NIT Trichy. Traditional soiling measurement methods ofte...
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The emergence of quantum computing poses a significant threat to the security of traditional blockchain systems, which rely heavily on classical cryptographic algorithms. To safeguard the integrity and reliability of ...
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Data centers are vital to modern computing but contribute significantly to carbon emissions due to their high energy consumption. To address this, machine learning models can optimize resource allocation by analyzing ...
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Signal processing has made extensive use of neural networks. This study examines neural network training using the PSO and BP algorithms. To train the neural network, the PSO algorithm alone, the BP algorithm alone, a...
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Mental health is a fundamental aspect of overall wellbeing, despite its importance, it remains one of the most neglected issues. By integrating Artificial Intelligence with Natural Language Processing into this domain...
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Mental health support is crucial for students, who are vulnerable to challenges due to academic pressures and social expectations. University culture often fosters misconceptions about mental well-being, leading to st...
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As the global semiconductor industry moving towards successive generations, the density of Integrated Circuit increased, therefore reliability issues became critically high, among them Negative Bias Temperature Instab...
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Enforcing smoking bans in public areas remains a challenge due to limitations in conventional monitoring methods. This paper introduces SmokerBeacon, an innovative system for real-time detection of smoking activities ...
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Face recognition is widely used in various applications. While current techniques perform well in controlled settings, accurately recognizing occluded faces remains challenging. This is crucial in computer vision for ...
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India's agricultural sector is vital to the economy, sustaining millions of farmers, but plant diseases threaten crop productivity and livelihoods. Traditional disease diagnosis methods rely on manual observation,...
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