首页|New Data from Georgia Institute of Technology Illuminate Findings in Machine Lea rning (Assessing Community Needs In Disasters: Transfer Learning for Fusing Limi ted Georeferenced Data From Crowdsourced Applications On the Community Level)
New Data from Georgia Institute of Technology Illuminate Findings in Machine Lea rning (Assessing Community Needs In Disasters: Transfer Learning for Fusing Limi ted Georeferenced Data From Crowdsourced Applications On the Community Level)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Machine Learning is th e subject of a report. According to newsreporting out of Atlanta, Georgia, by N ewsRx editors, research stated, "The effectiveness of infrastructure resilience relies on the seamless extraction of information, timely acquisition of critical knowledge, andheightened situational awareness. The ongoing utilization of dig ital citizen communication through socialmedia with response organizations duri ng disasters remains a valuable avenue for disseminating information,ensuring t he effective utilization of public resources in emergency response to crisis eve nts."
AtlantaGeorgiaUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesMachine LearningGeorgia In stitute of Technology
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