US Patent Issued to GUANGDONG UNIVERSITY OF TECHNOLOGY on June 2 for "Blockchain sharding method and system based on convolutional neural network-long short-term memory (CNN-LSTM) prediction model" (Chinese Inventors)

ALEXANDRIA, Va., June 2 -- United States Patent no. 12,647,484, issued on June 2, was assigned to GUANGDONG UNIVERSITY OF TECHNOLOGY (Guangzhou, China).

"Blockchain sharding method and system based on convolutional neural network-long short-term memory (CNN-LSTM) prediction model" was invented by Rong Yu (Guangzhou, China), Bingquan Su (Guangzhou, China), Siming Wang (Guangzhou, China) and Haobin Ma (Guangzhou, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed are a blockchain sharding method and system based on a convolutional neural network-long short-term memory (CNN-LSTM) prediction model. The method includes: using a double-layer chain system architecture, namely a vehicle layer and an edge...