IoT has paved the way for enhancing and transforming the quality of life through remote automation and monitoring via various short-range, long-range, and cellular network connectivity technologies. These technologies...
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In today's world, independent living becomes increasingly crucial for those who are visually impaired, as they encounter numerous challenges. Visually impaired people are at a disadvantage since they need manual h...
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Stress, a pervasive psychological state, profoundly impacts individuals' well-being and may lead to various health issues. In this paper, the WESAD (Wearable Stress and Affect Detection) dataset serves as the prim...
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In this article, an association-based approach is proposed for determining the feature importance of a given dataset which includes the target variable. In particular, the concept of Market Basket Analysis (MBA) is ap...
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Hyperspectral image classification faces significant challenges due to high-dimensional data and variability, often leading to inefficiencies in processing and reduced classification accuracy. Existing methods struggl...
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A complicated neurological illness, autism spectrum disorder (ASD) impacts social skills, communication, and other behavioral elements. Because the symptoms of ASD might be confused with those of other mental health c...
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Cervical cancer is the fourth most common malignancy to strike a woman *** discovered early enough,it can be effectively *** there is a chance of error owing to human error,the Pap smear is a good tool for first scree...
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Cervical cancer is the fourth most common malignancy to strike a woman *** discovered early enough,it can be effectively *** there is a chance of error owing to human error,the Pap smear is a good tool for first screening for cervical *** also takes a lot of time and effort to *** aim of this study was to reduce the possibility of error by automating the process of classifying cervical cancer using Pap smear *** the purpose of this study,dual convolution neural networks with LSTM were employed to classify images due to deep learning approaches inspire distinct features and powerful classifiers for many computer vision *** proposed deep learning model based on convolution neural networks(CNN)with the long short-term memory(LSTM)network is to learn features which give better recognition *** overall model is known as *** which‘smear’indicates‘pap-smear cancer cells’and‘net’refers to neural *** parameters such as,Accuracy,Precision,Recall,Accuracy,Sensitivity,and Specificity are used to validate the *** proposed method provides the improved accuracy of 99.57 percentage for classification of the pap-smear *** proposed approaches demonstrate the effectiveness of our contributions by testing and comparing with the state-of-the-art techniques.
This article reviews work on applications of argumentation-based dialogue. It takes both a broad view of dialogue and a broad view of what constitutes an application. It considers the full range of software tools that...
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In agriculture, timely and efficient irrigation is crucial to achieving maximum crop yield. However, traditional irrigation methods are often inefficient and wasteful, leading to water scarcity and abbreviated crop pr...
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Maintaining an approximate maximum independent set of a dynamic collection of objects has been studied extensively in the past few years. Recently, Bhore, Nöllenburg, Tóth, and Wulms (SoCG 2024) showed that ...
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