The large language model has demonstrated its ability to reason and interpret in text-to-text applications. Current Chain of Thought (CoT) research focuses on either explaining reasoning steps or improving prediction ...
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Plant diseases represent a significant challenge in agriculture, significantly impacting crop yield. Addressing this issue is imperative to ensure agricultural productivity. Convolutional Neural Networks (CNNs) have e...
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Forecasting the price of bitcoins is significant in contemporary research, given the fact that the digital currency is relatively unpredictable and highly integrated in global securities markets. This paper compares t...
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With the increasing reliance on cloud computing services, ensuring the security of cloud-based infrastructures has become paramount. This paper proposes a novel approach utilizing Convolutional Neural Networks (CNNs) ...
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Customizing radiation treatments for each patient is a formidable obstacle in the fight against cancer. Because they rely on human intervention and generalization, traditional methods often provide less-than-ideal res...
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Analysing Urban Noise and Air Quality by Integrating Past Data Accompanying Projections for the Future. By joining predicting models accompanying Internet of Things technology, this study tackles the question of judgi...
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computer vision(CV)was developed for computers and other systems to act or make recommendations based on visual inputs,such as digital photos,movies,and other *** learning(DL)methods are more successful than other tra...
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computer vision(CV)was developed for computers and other systems to act or make recommendations based on visual inputs,such as digital photos,movies,and other *** learning(DL)methods are more successful than other traditional machine learning(ML)methods *** techniques can produce state-of-the-art results for difficult CV problems like picture categorization,object detection,and face *** this review,a structured discussion on the history,methods,and applications of DL methods to CV problems is *** sector-wise presentation of applications in this papermay be particularly useful for researchers in niche fields who have limited or introductory knowledge of DL methods and *** review will provide readers with context and examples of how these techniques can be applied to specific areas.A curated list of popular datasets and a brief description of them are also included for the benefit of readers.
Participating media are frequent in real-world scenes,whether they contain milk,fruit juice,oil,or muddy water in a river or the *** light interacts with these participating media in complex ways:refraction at boundar...
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Participating media are frequent in real-world scenes,whether they contain milk,fruit juice,oil,or muddy water in a river or the *** light interacts with these participating media in complex ways:refraction at boundaries and scattering and absorption inside *** radiative transfer equation is the key to solving this *** are several categories of rendering methods which are all based on this equation,but using different *** this paper,we introduce these groups,which include volume density estimation based approaches,virtual point/ray/beam lights,point based approaches,Monte Carlo based approaches,acceleration techniques,accurate single scattering methods,neural network based methods,and spatially-correlated participating media related *** well as discussing these methods,we consider the challenges and open problems in this research area.
New challenges are still there in the credit risk management in this context of the financial system, primarily because of the lack of good models for prognosis as well as low interpretability. To address this issue, ...
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Skin Cancer, particularly melanoma, poses a significant threat to human health with low chances of recovery and survival. Early detection plays a crucial role in improving survival rates, with potential rates reaching...
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