[ad_1] Introduction In recent years, advancements in science and technology have revolutionized the field of genetics and nutrition, leading to the development of innovative tools such as gene editing and personalized nutrition. Gene editing technologies,…
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[ad_1] Introduction In recent years, subscription-based pricing models have gained popularity among businesses seeking to establish predictable and recurring revenue streams. However, determining the optimal pricing strategy for subscription services can be a challenging task,…
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[ad_1] Introduction The gaming industry is rapidly growing, with an estimated global market size of over $150 billion in 2020. With such a large market, there is also an increase in fraud activities within the…
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[ad_1] Introduction In recent years, deep learning has revolutionized the field of image classification by achieving state-of-the-art results in various applications such as object recognition, face detection, and medical image analysis. One area where deep…
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[ad_1] Introduction: Neurotechnology has been advancing rapidly in recent years, offering unprecedented capabilities for enhancing cognitive functions such as memory, attention, and decision-making. While these advancements hold great promise for improving human performance and quality…
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[ad_1] Introduction Customer churn is a critical issue in the hotel industry as it directly affects revenue and profitability. Identifying customers who are likely to churn and implementing strategies to retain them is essential for…
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[ad_1] Introduction Education is constantly evolving, with new technologies and methodologies being introduced to enhance the learning experience. One such method that has gained popularity in recent years is game-based learning, where educational content is…
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[ad_1] Introduction In recent years, there has been a growing recognition of the negative impact of criminal records on individuals who have been involved in the criminal justice system. The social stigma and collateral consequences…
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[ad_1] Introduction: Anomaly detection in manufacturing supply chains using RFID data and unsupervised learning is a critical area of research with the potential to revolutionize the way companies manage their inventory, track their assets, and…
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[ad_1] Introduction Healthcare institutions are constantly looking for ways to improve patient outcomes and reduce costs. One area of interest is predicting patient readmission risk using electronic health records (EHR) and machine learning techniques. By…
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