[ad_1] Introduction Social network analysis (SNA) has become an essential tool for understanding the dynamics of customer support communities and knowledge sharing in today’s digital age. As companies strive to provide effective support and foster…
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[ad_1] Introduction In recent years, the use of predictive modeling in various industries has gained significant attention due to its ability to forecast outcomes based on historical data and patterns. In the field of Human…
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[ad_1] Introduction: Traffic congestion poses a significant challenge to logistics companies, leading to delays, increased costs, and decreased customer satisfaction. Traditional methods of predicting and managing congestion have shown limitations in providing accurate and real-time…
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[ad_1] Introduction Facial recognition technology has gained significant attention in recent years due to its potential applications in various fields, including financial services. The use of facial recognition for identity verification in financial services can…
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[ad_1] Thesis Overview: In recent years, there has been a growing interest in the use of technology, specifically chatbots, for mental health therapy. With the advancements in natural language processing (NLP) and cognitive-behavioral therapy (CBT)…
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[ad_1] Introduction Predictive maintenance for HVAC systems using sensor data and machine learning is a crucial area of research that aims to improve the efficiency and reliability of heating, ventilation, and air conditioning systems in…
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[ad_1] Introduction In today’s digital age, companies are constantly searching for ways to effectively target and reach their customers to increase sales and brand loyalty. One popular method to achieve this is through customer segmentation,…
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[ad_1] Introduction: In recent years, the fashion industry has witnessed a significant shift towards digitalization, with social media platforms playing a crucial role in shaping consumer preferences and trends. As a result, there is an…
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[ad_1] Introduction In the telecommunications industry, customer churn prediction plays a crucial role in retaining customers and maximizing revenue. The ability to accurately predict when a customer is likely to churn can help telecom companies…
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[ad_1] Introduction: Anomaly detection plays a critical role in ensuring the security and reliability of industrial control systems (ICS), particularly in the context of Supervisory Control and Data Acquisition (SCADA) systems. SCADA systems are widely…
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