ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,430,787, issued on Sept. 30, was assigned to NANJING UNIVERSITY (Nanjing, China).

"Deep learning-based method for predicting settleability of activated sludge" was invented by Jinfeng Wang (Nanjing, China), Jin Wang (Nanjing, China), Deyuan Dong (Nanjing, China), Haidong Hu (Nanjing, China), Bing Wu (Nanjing, China) and Hongqiang Ren (Nanjing, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "A deep learning-based method for predicting the settleability of activated sludge includes: (1) collecting a plurality of activated sludge samples, acquiring raw data of images of the plurality of activated sludge samples, cleaning the raw data of the images, a...