Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …

Spatial modelling of gully erosion at regional level is very relevant for local authorities to
establish successful counter-measures and to change land-use planning. This work is …

Abstract In the Three Gorges Reservoir area (TGRA), landslides typically exhibit slow-
moving characteristic deformations in response to seasonal changes in precipitation and …

The quality and reliability level of the produced product is the key performance and health
state indicator of the running manufacturing system. Hence, the workpiece quality centered …

Pile foundations are widely used for high‐rise structures constructed in soft ground. The
bearing capacity of pile is a crucial parameter required during the design and construction …

This study employs Gaussian process regression (GPR) with square exponential covariance
function to predict surface roughness of Compacted Graphite Cast Iron (CGI). In addition, a …

The whale optimization algorithm (WOA) is a new swarm intelligence (SI) optimization
algorithm, which has the superiorities of fewer parameters and stronger searching ability …

To scientifically and reasonably set and adjust the machining parameters, and improve the
machining benefit of the batch machining process including machining quality, performance …

针对传统数控铣削表面粗糙度预测模型泛化性差, 精度较低等问题, 提出了一种基于多源异构
数据的数控铣削表面粗糙度预测方法. 获取变工艺条件下数控铣削的工艺参数 …

This study proposes a pipeline, which is based on deep reinforcement learning, aims to
solve the multi-objective problem (MOP) on efficiency and quality in manufacturing. The …