首页|Computer Science Department Reports Findings in COVID-19 (Enhancing COVID-19 for ecasting precision through the integration of compartmental models, machine lear ning and variants)
Computer Science Department Reports Findings in COVID-19 (Enhancing COVID-19 for ecasting precision through the integration of compartmental models, machine lear ning and variants)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According tonews reporting out of Turin, Italy, by NewsRx editors, research stated, “Predicting epidemic evolution isessential fo r making informed decisions and guiding the implementation of necessary counterm easures.Computational models are vital tools that provide insights into illness progression and enable early detection,proactive intervention, and targeted pr eventive measures.”
TurinItalyEuropeCOVID-19COVID-19 ModelCompartmentalModelingCoronavirusCyborgsDisease ModelEmerging Te chnologiesEpidemicEpidemiologyMachine LearningRNA VirusesRisk and Prev entionSARS-CoV-2Severe Acute Respiratory Syndrome Coronavirus 2ViralViro logy
NETL
NSTL
