[ad_1] Introduction Traffic accidents are a major concern worldwide, causing a significant number of fatalities and injuries each year. Predicting traffic accidents can help in preventing them, reducing their severity, and improving road safety. Deep…
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[ad_1] Introduction As online transactions continue to grow in popularity, so does the risk of fraud. Fraudulent activities such as identity theft, account takeover, and payment fraud pose a significant threat to both businesses and…
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[ad_1] Introduction Predictive modeling for energy consumption using time series analysis and machine learning is a critical area of research that has gained significant attention in recent years. As the demand for energy continues to…
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[ad_1] Introduction: Image segmentation is a crucial task in medical image analysis, as it plays a vital role in various clinical applications such as tumor detection, organ segmentation, and disease classification. Deep learning algorithms have…
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[ad_1] Introduction Image classification is a crucial aspect of quality control in manufacturing processes, as it enables the automated identification and detection of defects in products. Deep learning algorithms have shown great potential in image…
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[ad_1] Introduction: Demand forecasting is a crucial element in retail inventory management as it aids in optimizing inventory levels, reducing costs, and improving customer satisfaction. Time series analysis is a commonly used technique in forecasting…
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[ad_1] Introduction: In recent years, the use of predictive modeling for credit risk assessment has gained significant attention in the financial industry. This approach allows financial institutions to analyze historical data and predict the creditworthiness…
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[ad_1] Introduction: In the era of online commerce and social media, user-generated reviews have become a crucial part of decision-making for consumers. However, the presence of fake reviews has become a significant issue, as they…
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[ad_1] Introduction: Traffic congestion is a major issue that affects both urban and rural areas worldwide, leading to increased travel times, air pollution, and economic losses. In recent years, there has been a growing interest…
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[ad_1] Introduction Facial recognition technology has gained significant attention in various fields due to its ability to accurately identify individuals based on their facial features. One of the applications of this technology is in attendance…
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