Sleep paralysis is when you're awake but powerless to move. Although the majority of occurrences are linked to extreme terror and some potentially clinically significant sufferings are connected with the case;litt...
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This work focuses on the estimation of elbow joint angles from electromyography (EMG) signals and investigates the use of machine learning models in rehabilitation robotics. Four distinct machine learning algorithms w...
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At present, the open stopping with subsequent filling mining of the 'two step' mode has received significant attention. The recovery method entails dividing the ore block into the first step ore room and the s...
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In the competitive retail industry, improving customer experience is essential for increasing sales and cultivating brand loyalty. A crucial determinant of consumer happiness is the shop layout, which impacts customer...
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Objectives: The objective is to provide a precise segmentation technique based on ACRF, which can handle the variations between major and minor vessels and reduce the interference present in the model due to overfitti...
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Objectives: The objective is to provide a precise segmentation technique based on ACRF, which can handle the variations between major and minor vessels and reduce the interference present in the model due to overfitting and can provide a high-quality reconstructed image. Therefore, a robust method with statistical properties needs to be presented to enhance the performance of the model. Moreover, a statistical framework is required to classify images precisely. Methods: The Adaptive Conditional Random Field (ACRF) model is used to detect DR disease in the early stages. Here, major vessel potential and minor vessel potential features are extracted for precise segmentation of vessel and non-vessel regions. This feature enhances the efficiency of the model. These major vessel and minor vessel potential features rebuild the retinal vasculature parts precisely and help to capture the contextual information present in the ground truth and label images. This method utilizes an ACRF model to reduce interference and computation complexity. Here, two efficient features are extracted to segment fundus images efficiently, such as major vessel potential and minor vessel potential. The proposed ACRF model can provide the design patterns for both input images and labels with the help of major vessel potential, unlike state-of-art-techniques, which provide patterns for only labels and model the contextual information only in labels, which is essential while performing vessel segmentation. Results: The performance results are tested on the DRIVE dataset. Experimental results verify the superiority of the proposed vessel segmentation technique based on the ACRF model in terms of accuracy, sensitivity, specificity, and F1-measure and segmentation quality. Conclusion: A highly efficient vessel segmentation technique is evaluated to describe major and minor vessel regions efficiently based on the ACRF to recognize DR in early stages and to ensure an effective diagnosis using eye Fundus
Elliptic Curve Cryptography (ECC) represents a promising public-key cryptography system due to its ability to achieve the same level of security as RSA with a significantly smaller key size. ECC stands out for its tim...
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This research addresses the critical challenge of ransomware detection through the use of deep learning and machine learning methods. Because ransomware is a serious threat to cybersecurity, it is imperative that adva...
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The wireless Body Area Network grabs the attention of researchers as the necessity for virtual or online healthcare is increasing day by day in this faster world (Sen and Yamin in Int J Inf Technol 13:829–837, 2021)....
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Alzheimer's disease is becoming more common over time. It is a long-term brain disease that gradually impairs people's memory, thinking skills, and finally their ability to perform even the most basic tasks. E...
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Blockchain is rapidly becoming the de facto standard for storage applications requiring high transparency, record traceability, immutable data, and distributed processing. Researchers have proposed a large number of s...
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