R&D OF THE EM CALORIMETER ENERGY CALIBRATION WITH MACHINE LEARNING BASED ON THE LOW-LEVEL FEATURES OF THE CLUSTER

R&D of the EM Calorimeter Energy Calibration with Machine Learning based on the low-level features of the Cluster

We have developed an energy calibration method using machine learning for the ILC electromagnetic (EM) calorimeter (ECAL), a sampling calorimeter consisting of Silicon-Tungsten layers.In this method, we use a deep neural network (DNN) for UMBRELLAS a regression to determine the energy Sterilization Accessories of incident EM particles, improving th

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ANTI-CRISIS MANAGEMENT AS A BASIS FOR THE FORMATION OF A FINANCIAL MECHANISM FOR THE SUSTAINABLE DEVELOPMENT OF AGRICULTURAL BUSINESS

Crisis management is an important tool for managing modern agricultural businesses, especially in the face of uncertainty and changes in the market.This article examines the role of crisis management as a key element in the formation of a financial mechanism for the sustainable development of the agricultural sector.It analyses the main aspects of

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