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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This paper analyzes the behavior of some epoxy resin samples subjected to thermal treatment through temperature variation. After being prepared, the polymeric material was subjected to a temperature variation from +15...
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Exercise is beneficial to human health;however, if performed incorrectly, it becomes ineffective or even harmful. Obesity mostly occurs in people who do not exercise. Current research demonstrates the importance of ex...
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Aerial image segmentation, important for understanding image content, faces significant challenges such as feature scale variation, resolution issues, spectral inconsistencies, and class imbalance. This paper introduc...
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Segmenting the proximal femur from a fluoroscopy image is crucial for precise surgical treatment of proximal femur fracture. Accurate segmentation of the proximal femur helps the surgeon to insert screws and metal pin...
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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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This paper investigates use meta-heuristic to solve curve fitting problems in Optical-Diffraction Based Image Depth Reconstruction. We aim to accurately establish a relationship curve between object distance and diffr...
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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.
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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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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