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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Reverse Osmosis (RO) is a traditional technique for filtering water, especially for drinking purpose. Around 75% of contaminated water gets discharged as waste. The principal goal of this paper is to make a seamless s...
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The rapid spread of diseases and pest infestations has a detrimental effect on plant health. Methods for disease classification and detection have gained new insights from the developments in computer vision and deep ...
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In recent years, reinforcement learning (RL) based quadrupedal locomotion control has emerged as an extensively researched field, driven by the potential advantages of autonomous learning and adaptation compared to tr...
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Drones are emerging technologies in agriculture, replacing manual pesticide spraying due to harmful side effects on personnel. It is designed to reduce time and labor costs for farmers. This paper aims to develop a so...
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The research topic of Path planning is extremely challenging area of concentration within the field of mobile robots. However, path planning algorithms for mobile robot tasks are contingent upon the environment and it...
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This paper addresses key challenges in EEG-based cybersickness classification using machine learning (ML) models. Despite significant research in this area four critical issues remain unresolved: 1) the availability o...
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This article discusses the application of machine vision technology in industrial scene recognition. The research uses deep learning algorithms, combined with computer vision technology, to build a scene recognition s...
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In the power industry, the two most common types of market equipment are distribution transformers (DT) and power transformers (PT). The dielectric fluid is essential to PT and DT's dependable operation. In this s...
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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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