Scientific Research Publishing

Evaluating Geological Disaster Susceptibility Using Information Value and Neural Network Models: A Case Study of Xi Ao Town, Guangdong Province ()

Geological disaster susceptibility assessment provides a critical foundation for disaster prevention, mitigation, and formulation of governmental reduction policies and emergency management strategies ...
C&EN

Optimization of Operational Parameters Using Artificial Neural Network and Support Vector Machine for Bio-oil Extracted from Rice Husk

Department of Industrial and Systems Engineering, University of Jeddah, Jeddah 238090, Saudi Arabia ...
Frontiers

Robustness enhanced capacity estimation method for lithium-ion batteries based on multi-voltage-interval incremental capacity peaks

Accurate battery capacity estimation can contribute to safe and reliable operations of lithium-ion battery systems. The incremental capacity (IC) based techniques provide promising estimates of ...
C&EN

Machine Learning and Deep Learning in Chemical Health and Safety: A Systematic Review of Techniques and Applications

Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843-3122, United States ...