The growing interest in health and fitness has resulted in an increase in the number of people joining fitness clubs. However, maintaining member engagement remains a challenge for fitness club operators. The goal of ...
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In modern military operations, timely and effective medical evacuation is crucial for reducing soldier casualties and enhancing combat effectiveness. This research presents an investigation into the use of Unmanned Ae...
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This paper explores sentiment analysis in legal judgments using machine learning techniques. Six machine learning models, including Naïve Bayes, K Nearest Neighbors, Logistic Regression, Support Vector Machine, R...
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The following study contributes to the improvement of environmental monitoring by providing an approach for the estimation of air quality in real-time based on deep learning models GoogleNet and MobileNet. With either...
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Digital payment applications are now a crucial aspect of our everyday routines, completely changing how to handle money transactions. The use of blockchain technology is becoming more common in online payment systems,...
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Cognitive disorders among adolescents pose significant challenges to their overall well-being and prospects. Timely detection and intervention are crucial to mitigating the potential long-term impacts of these disorde...
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This paper presents a novel encoder-decoder architecture based on U-Net integrated with a residual-concatenate multi-scale feature fusion (RCMFF) strategy to perform efficient building segmentation from remote sensing...
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Dental cavities represent a widespread oral health issue on a global scale, impacting individuals across all age groups. The conventional approach to detecting cavities involves a visual examination by dentists, which...
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Diabetic retinopathy(DR) has become a major issue among ophthalmologists worldwide, with a majority of type 2 diabetes patients suffering from this disease. Currently, medical diagnosis is primarily performed through ...
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As a dynamic sport, Cricket provides various complex shots which are extremely precise to execute and hard to classify. Shot identification or classification is based on the manual method which prone to error and time...
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