Time series analysis is widely used in environmental monitoring to identify trends, seasonal patterns, anomalies, and temporal variations in environmental parameters such as air pollution, temperature, rainfall, and water quality. Statistical, machine learning, and deep learning models enable accurate forecasting of environmental conditions, supporting pollution control, early warning systems, risk assessment, and sustainable environmental management.
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Ravi Patel is a Ph. D. scholar in Computer Science at the Central University of South Bihar, specializing in computational intelligence applications for environmental analysis.Aditya Kumar is a Ph.D. scholar in Computer Science at the Central University of South Bihar, with research focused on multi-view learning and environmental modeling.
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