Machine learning and its application in seismology

It is an inherently challenging scientific endeavor to understand and predict multi-scale, high-dimensional and nonlinear seismological phenomena.The increasing amount of observational big data breaks the linkage between data 2003 toyota corolla exhaust system collection and interpretation, and increases the obscurity and uncertainty in data analys

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Do Servant Leadership Self-Efficacy and Benevolence Values Predict Employee Performance within the Banking Industry in the Post-COVID-19 Era: Using a Serial Mediation Approach

Globally, the COVID-19 pandemic has brought significant implications to the workplace and highly impacted employee performance in every organization.In contemporary research, the scholars agree that leadership is one of the critical antecedents to predict employee performance in organizations.However, research is needed to investigate the mediating

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