widget.LinearLayout | shadow$_monitor_ = 0 * Instance of com.miledots.driver.activity.UpdateVehicleActivity | static $class$accessFlags = 524289 | static $class$superClass = com.miledots.driver.base.BaseActivity | static $classOverhead = byte[2264]@320775241 (0x131ea449) | static $class$...
results show that the models were able to predict consistently water temperature, showing a high determination coefficient (R2) and Nash–Sutcliffe efficiency (NSE) with values near or above 0.910 and 0.915, respectively, and in overall the six models worked equally without clear superiority of one...