DEVELOPMENT OF AN ALGORITHM FOR DETECTING ANOMALIES IN THE AIR POLLUTION MONITORING SYSTEM
Abstract. In recent years, the problem of air pollution has become more and more acute, especially for industrial regions. The constant growth of environmental monitoring data requires not only their accumulation, but also effective intelligent processing. One of the key tasks is the timely detection of abnormal values that can indicate both real emissions of […]