[ad_1] Introduction: Cybersecurity is a critical aspect of modern society, as more and more of our daily activities rely on digital technology. With the increasing sophistication of cyber threats, there is a growing need for…
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[ad_1] Introduction Social media has become an integral part of our daily lives, providing a platform for individuals to express their thoughts, emotions, and opinions on various topics. In times of crisis, such as natural…
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[ad_1] Introduction Demand forecasting plays a crucial role in hospital resource planning, as it involves predicting future patient volumes and healthcare service needs. By accurately forecasting demand, hospitals can optimize resource allocation, improve patient satisfaction,…
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[ad_1] Introduction Social network analysis (SNA) has become a popular and powerful tool in understanding the dynamics of social relationships, communication patterns, and influence within a network. This methodological approach has been widely used in…
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[ad_1] Introduction In recent years, the spread of fake news on social media platforms has become a pressing issue that has raised concerns about the credibility of information shared online. Fake news can have serious…
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[ad_1] Introduction: Traffic congestion is a significant issue in urban areas worldwide, leading to increased travel times, air pollution, and overall reduced quality of life for residents. Ride-sharing services have become increasingly popular in recent…
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[ad_1] Introduction Real estate pricing is a complex and dynamic process that involves a multitude of factors such as location, property size, amenities, and market trends. Traditionally, real estate professionals rely on historical data and…
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[ad_1] Introduction Anomaly detection in manufacturing processes using sensor data and unsupervised learning has become an important area of research in recent years. The ability to detect anomalies in manufacturing processes can help companies improve…
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[ad_1] Introduction Healthcare providers face significant challenges due to patient no-shows, which can lead to inefficiencies in scheduling, decreased access to care, and increased costs. Predicting patient no-shows using appointment data and machine learning techniques…
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[ad_1] Introduction In today’s competitive job market, job seekers are faced with the daunting task of sifting through numerous job postings to find the perfect fit for their skills and qualifications. Similarly, recruiters also face…
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