INTELLIGENT ANALYSIS OF ROCK COMPOSITION USING A RANDOM FOREST METHOD
Abstract. The research is devoted to solving the urgent problem of modernization of technological cycles at mining and processing plants. The main focus of the article is on automation of the primary stage of separation of fossil raw materials. Today, in many enterprises, quality control of rock mass is based on visual inspection and is […]
ANALYSING DEMAND FORECASTING MODELS BASED ON HISTORICAL DRUG CONSUMPTION DATA
Abstract. Forecasting drug demand plays a key role in ensuring sustainable supply, effective inventory management, and timely patient access to life-saving medicines. This article presents a study of ARIMA time series and exponential smoothing methods for predicting demand for an antihypertensive blood pressure drug. The research is aimed at developing and identifying a model that […]