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

Productivity Index Prediction for Single-Lateral and Multilateral Oil Horizontal Wells Using Machine Learning Techniques

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Frontiers

Motion artifacts removal and evaluation techniques for functional near-infrared spectroscopy signals: A review

Among the eight-nine selected papers, 17 discussed solutions using additional hardware, while 11 studies discussed accelerometer-related methods. Other auxiliary hardware includes a headpost cemented ...