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Advanced data acquisition and automated monitoring systems represent a transformative advancement in railway safety and operational efficiency. Integrating sophisticated train control technologies, TETRA protocols, and nanosensor implementations has revolutionized track maintenance and safety protocols. Through the deployment of multi-tiered monitoring frameworks incorporating ultrasonic B-scan detection, RFID tracking, and mobile inspection platforms, railway networks have achieved enhanced defect detection capabilities and improved resource utilization. Implementing machine learning algorithms and real-time data processing has enabled proactive maintenance strategies, while integrated GPR and InSAR technologies have strengthened track inspection capabilities. These technological advancements haveSridevi
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Sridevi Palepu (2024) studied this question.