Critical Insights into Context-Aware Systems: A Literature Review
Keywords:
Context, automotive networks, sensor, IoT, business intelligence, PSSAbstract
Recently, automobile networks, health monitoring, and industrial alarm systems have used context-aware systems more. These systems make sense of environmental cues and simulate productivity gains using fuzzy logic and machine learning. They can verify machine integration into the human body and perform logical sensor data analysis to improve healthcare monitoring. They can also help to create systems that adapt to changing conditions, such as emergency vehicle communication networks. Regardless of scale, these adaptive systems have varying modularity to improve results in a wide range of application areas. They enable secure, efficient, and intelligent interaction across domains. This study investigated 20 context-aware system studies. It covers strategic shifts, challenges, and dynamics in this field in detail. Business analytics, the Internet of Things, remote care, human capital, recommendation systems, vehicle networks, human-robot interactions, smart product service systems, and successful recruitment are covered. Consider the entire synthesis to determine the value of contextuality and system use in various sectors. Fuzzy logic, machine learning, and architectural frameworks help explain context-aware computing formation and ongoing advances.
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