The article is devoted to the problems of improving digital intellectual tools for managing the implementation Pulley Assembly of socio-economic and technological programs aimed at developing the agro-industrial cluster of the regional economy.The aim of the work is to develop a procedure for forecasting the implementation of programs based on the
Escalator: An Autonomous Scheduling Scheme for Convergecast in TSCH
Time Slotted Channel Hopping (TSCH) is widely used in the industrial wireless sensor networks due to its high reliability and energy efficiency.Various timeslot and channel scheduling schemes have been proposed for achieving high reliability and energy efficiency for TSCH networks.Recently proposed autonomous scheduling schemes provide flexible tim
Identification and Discrimination of Petrol Sources by Nuclear Magnetic Resonance Spectroscopy and Machine Learning in Fire Debris Analysis
Petrol is considered the most common fire accelerant.However, the identification and classification of petrol sources through the years has proven to be a challenging field in the investigation of BUCKWHEAT GROATS fire debris analysis.This research explored the possibility of identifying petrol sources by high-field NMR methods accompanied by ML Ni