This study presents a challenging approach that addresses the efficient management of organic fraction municipal solid waste (OFMSW) by hydrothermal carbonization (HTC) for development novel sustainable low-CO 2 building materials. Mild HTC treatment at 180 °C h transformed low-grade OFMSW into renewable carbonaceous (hydrochar), which displays promising properties application in particleboards...

Aiming at the problems of low classification accuracy and overfitting caused by limited number particleboard image samples, a Capsule Network algorithm based on improved CBAM (Convolutional Block Attention Module) attention model is proposed. The utilizes GELU equation to improve incorporates it into convolutional layer Network. In this way, optimizes feature maps surface defects and, meanwhile...