MODELED PREDICTIONS OF HUMAN-ASSOCIATED AND FECAL-INDICATOR BACTERIA CONCENTRATIONS AND LOADINGS IN THE MENOMONEE RIVER, WISCONSIN USING IN-SITU OPTICAL SENSORS

Human sewage contamination of waterways is a major issue in the United States Bike Parts - Handlebars - Stems and throughout the world.Models were developed for estimation of two human-associated fecal-indicator and three general fecal-indicator bacteria (HIB and FIB) using in situ optical field-sensor data for estimating concentrations and loads o

Traffic predicting is a critical component of modern intelligent transportation systems for traffic management and control.However, the traffic flow is complex.On one hand, the urban road structure is highly correlative, and there often exists a nonlinear structural dependence between different roads.On the other hand, traffic flow data often chang

BackgroundPressure injuries (PIs) pose a substantial healthcare burden and incur significant costs worldwide.Several risk prediction tools to allow timely implementation of preventive measures and a subsequent reduction in healthcare system burden are available and in use.The ability of risk prediction tools to correctly identify those at high risk

In order to solve the problem of control performance degradation caused by time delay in wave compensation control system, predicting vessel heave motion can be the input vector of the control system to alleviate Capelli time delay problem.The vessel heave motion belongs to the problem of time series, this paper proposes an improved Long Short-Term

Abstract Background A common goal of scientific microscopic imaging is to determine if a spatial correlation exists between two imaged structures.This is generally accomplished by imaging fluorescently labeled structures and measuring their spatial correlation with a class of image analysis algorithms known as colocalization.However, the most commo