首页|Studies from University of Douala Describe New Findings in Machine Learning (Enh ancement of Energy and Cost Efficiency In Wastewater Treatment Plants Using Hybr id Bio-inspired Machine Learning Control Techniques)
Studies from University of Douala Describe New Findings in Machine Learning (Enh ancement of Energy and Cost Efficiency In Wastewater Treatment Plants Using Hybr id Bio-inspired Machine Learning Control Techniques)
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 Daily News Daily News-A new study on Machine Learning is now available. According to news reporting originating in Douala, Cameroon, by News Rx journalists, research stated, “Global population growth drives demand for cle an water, energy, and wastewater production in urban areas. Most existing wastew ater treatment plants (WWTPs) are energy- and cost-intensive.”
DoualaCameroonAfricaCyborgsEmerg ing TechnologiesMachine LearningUniversity of Douala
NETL
NSTL
