Healthcare institutions often face challenges in managing patient data, optimizing clinic workflows, and ensuring timely reporting. Smaller clinics, in particular, may lack the resources to streamline services for bot...
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In VANET, the efficiency of the RSUs positioned beside the roadways is crucial for both transportation and service provision. Direct communication between vehicles and infrastructure is supported by the network (V2V a...
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X-rays play a crucial role in computed tomography (CT) imaging, enabling the visualization of internal structures within the body. It is particularly valuable in assessing pulmonary injuries in COVID-19 patients. Glob...
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The term sentiment analysis deals with sentiment classification based on the review made by the user in a social *** sentiment classification accuracy is evaluated using various selection methods,especially those that d...
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The term sentiment analysis deals with sentiment classification based on the review made by the user in a social *** sentiment classification accuracy is evaluated using various selection methods,especially those that deal with algorithm *** this work,every sentiment received through user expressions is ranked in order to categorise sentiments as informative and *** order to do so,the work focus on Query Expansion Ranking(QER)algorithm that takes user text as input and process for sentiment analysis andfinally produces the results as informative or *** challenge is to convert non-informative into informative using the concepts of classifiers like Bayes multinomial,entropy modelling along with the traditional sentimental analysis algorithm like Support Vector machine(SVM)and decision *** work also addresses simulated annealing along with QER to classify data based on sentiment *** the input volume is very fast,the work also addresses the concept of big data for information retrieval and *** result com-parison shows that the QER algorithm proved to be versatile when compared with the result of *** work uses Twitter user comments for evaluating senti-ment analysis.
In the era of the Internet and smart applications, companies and institutions providing various services face significant challenges. The digital landscape, characterized by limitless connectivity and accessibility, p...
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Despite tremendous progress in automatic summarization, state-of-the-art methods are predominantly trained to excel in summarizing short newswire articles, or documents with strong layout biases such as scientific art...
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作者：
Biradar, Manjula A.Mallapure, SujataSharnbasava University
Department of Computer Science and Engineering Sharan Nagar Karnataka Kalaburagi India
Department of Artificial Intelligence and Machine Learning Sharan Nagar Karnataka Kalaburagi India
MANET, an ad hoc wireless network is made up of several nodes connected, governed by certain rules for packet movement from one node point to another. The structure of communication may be designed using a variety of ...
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Information extraction from clinical text is needed to comprehend patient conditions and determine anticancer treatment. Existing NLP systems, such as Amazon Comprehend Medical, Clamp, and DeepPhe, are proprietary and...
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The analysis of soil nutrients and water levels holds utmost significance in the realms of agriculture. Determining the soil type and identifying the crop suitable for that specific soil are critical factors in optimi...
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Skin health conditions should be diagnosed and treated on time so as to prevent complications and promote better health results. This paper presents an AI-based system that makes use of Convolutional Neural Networks w...
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