Still a life-threatening illness brought on by parasites spread by mosquito bites, malaria presents a major danger to world health. Effective therapy and disease control depend on timely and precise identification of ...
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Based on the text data of authoritative skin care community, this study analyzes the user's needs and summarizes six topics on the premise that it has the option of repurchase intention. We need to calculate the e...
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This paper aims to revolutionize weather forecasting by exploring the potential of machine learning algorithms to achieve more accurate predictions. The focus is to leverage historical patterns and real-time meteorolo...
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Breast cancer remains a leading cause of mortality among women worldwide, where early detection significantly improves survival rates. Traditional diagnostic methods like mammography, biopsy, and ultrasonography face ...
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Animals can be identified by using various machine learning techniques among which a hybrid model combines multiple techniques together. In this approach a hybrid model with Convolutional Neural Networks (CNNs), Suppo...
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Current violence detection systems often face challenges such as high computational costs, real-time processing difficulties, and limited precision in detecting violent activities in dynamic environments. This researc...
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Cancer imaging examination is based mainly on doctors' manual interpretation, which requires professional abilities, clinical experience, and attentiveness. However, as the volume of medical imaging data grows, ra...
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An intelligent search method based on PSO is proposed. By weighting the proportion of the difference between the current fitness and the largest fitness in the whole particle population, the position of the particle i...
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Anything non-living that can take decisions on its own is called artificially intelligent. It is a technique designed to mimic human behaviour. On the other hand machine learning if a subset of artificial intelligence...
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The proceedings contain 121 papers. The topics discussed include: ***: a cutting-edge solution for informed meal selection;a hybrid learning model for detecting attacks in cloud computing;a real time prediction model ...
ISBN:
(纸本)9798350396157
The proceedings contain 121 papers. The topics discussed include: ***: a cutting-edge solution for informed meal selection;a hybrid learning model for detecting attacks in cloud computing;a real time prediction model for round winners of counter strike: global offensive;social media censoring using of visual sentimental analyzer;a comparative analysis of machine learning and deep learning algorithms for skin cancer detection and classification: exploring performance across multiple parameters;an extensive review of intelligent deep learning based anomaly detection and classification of 3D MRI brain imaging data;evaluating human emotions using image processing and brain waves;and hybrid machine learning based shill bidding fraud detection system using recursive feature elimination method.
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