Understanding and predicting student performance with academic metrics is essential for better education and learning. Making precise estimates, selecting appropriate measures, and using suitable predictive algorithms...
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The exploration of frame animation technology based on WinCE platform frame animation is a common animation form that decomposes animation actions in consecutive key frames, that is, draws different content on each fr...
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Hero drafting for multiplayer online arena (MOBA) games is crucial because drafting directly affects the outcome of a match. Both sides take turns to "ban"/"pick" a hero from a roster of approximat...
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Sentiment analysis, which aims to extract information from textual data indicating people's ideas or attitudes about a particular problem, has developed into one of the most exciting study issues in natural langua...
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Alzheimer's Disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss. Precise and timely identification of this condition is significant for proper treatment. Mag...
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The Internet of Things (IoT) is one of the most intriguing technological revolutions of the last few years due to its rapid expansion. The advancement of IoT applications is dependent on standard and real-time communi...
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One of the major fundamental and significant activity in farming represents the detection of plant diseases. On the other side, a plant disease is described as a disruption of a plant or a plant part's normal meta...
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Convolution neural networks(CNNs)have proven to be effective clinical *** study highlighted some of the key issues within these *** is difficult to train these systems in a limited clinical image databases,and many pu...
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Convolution neural networks(CNNs)have proven to be effective clinical *** study highlighted some of the key issues within these *** is difficult to train these systems in a limited clinical image databases,and many publications present strategies including such learning ***,these patterns are known formaking a highly reliable *** addition,normalization of volume and losses of dice have been used effectively to accelerate and stabilize the ***,these systems are improperly regulated,resulting in more confident ratings for correct and incorrect classification,which are inaccurate and difficult to *** study examines the risk assessment of Fully Convolutional Neural Networks(FCNNs)for clinical image *** contributions have been made to this planned work:1)dice loss and cross-entropy loss are compared on the basis of segment quality and uncertain assessment of FCNNs;2)proposal for a group model for assurance measurement of full convolutional neural networks trained with dice loss and group normalization;And 3)the ability of the measured FCNs to evaluate the segment quality of the structures and to identify test examples outside the *** evaluate the study’s contributions,it conducted a series of tests in three clinical image division applications such as heart,brain and *** findings of the study provide significant insights into the predictive ambiguity assessment and a practical strategies for outside-distribution identification and reliable measurement in the clinical image *** approaches presented in this research significantly enhance the reliability and accuracy rating of CNNbased clinical imaging methods.
The exponential growth of unstructured data in various fields has led to an increasing demand for efficient summarization techniques. This research paper aims to examine the existing approaches to summarize unstructur...
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Disease detection in medicinal plants is critical to ensuring the quality and efficacy of herbal drug treatments. Early and accurate diagnosis can prevent disease spread to other vegetation and keep species' genet...
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