A review on the role of various machine learning algorithms in microwave-assisted pyrolysis of lignocellulosic biomass waste
The fourth industrial revolution will heavily rely on machine learning (ML). The rationale is
that these strategies make various business operations in many sectors easier. ML modeling …
that these strategies make various business operations in many sectors easier. ML modeling …
A novel multiphase flow water cut modeling framework based on flow behavior-heuristic deep learning
W Dang, D Lv, F Jing, P Yu, W Guo, Z Gao - Engineering Applications of …, 2024 - Elsevier
Industry 4.0 is of great significance for the development of oil industry. One of the pivotal
steps towards achieving oil Industry 4.0 is accurately mastering the oilfield production …
steps towards achieving oil Industry 4.0 is accurately mastering the oilfield production …
Rapid Forecasting of Trapped and Movable Carbon Dioxide in Saline Aquifers using LSTM-based Sequence-to-Sequence Learning
Geological carbon storage (GCS) will play a crucial role in reducing greenhouse gas
emissions. Deep saline aquifers are considered suitable sites for geological carbon storage …
emissions. Deep saline aquifers are considered suitable sites for geological carbon storage …
Integrating Neural Operators and Transfer Learning for Efficient Carbon Storage Forecasting
Efficient forecasting involves generating accurate and reliable predictions while minimizing
the use of resources, such as time, training data, and computational power. This study …
the use of resources, such as time, training data, and computational power. This study …