Results (2)
Search Parameters:
Keyword: CRT
EKMC: Ensemble of kNN using MetaCost for Efficient Anomaly Detection
Anomaly detection aims at identification of suspicious items, observations or events by differing from most of the data. Intrusion Detection, Fault Detection, and Fraud Detection are some of the various applications of Anomaly Detection. The Machine learning classifier algorithms used in these applications would greatly affect the overall efficiency. This work is an extension of…
Read More An Approach for Determining Rules used to Select Viable Junction Design Alternatives Based on Multiple Objectives
Transport planners and engineers frequently face the challenge to determine the best design for a specific junction. Many road design manuals provide guidelines for the design and evaluation of different junction alternatives, however these mostly refer to specialized software in which the performances of design alternatives can be modelled. In the first stage of the…
Read More