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Prediction of Sewer Pipe Deterioration Using Random Forest Classification
Predictive models can effectively predict sewer pipe condition and can increase the certainty level of the predictive results and decrease uncertainty in the current condition of wastewater pipes.
Artificial Neural Networks and Adaptive Neuro-fuzzy Models for Prediction of Remaining Useful Life
The U. S. water distribution system contains thousands of miles of pipes constructed from different materials, and of various sizes, and age.
Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment
As a result of these improvements, the accuracy in recognizing cases where subjects touch their toes has gone from 76. 46% in our previous work to 97. 19% in this paper.
Enhanced Facial Recognition Framework based on Skin Tone and False Alarm Rejection
In this study, an enhanced face detection framework is proposed to improve detection rate based on skin color and provide a validation process.
