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A Hybrid Machine Learning Intrusion Detection System Framework with Integrated Server and Client Models for Wireless Sensor Networks
(2024-04-15)
Federated Learning (FL) has emerged as a novel distributed Machine Learning (ML) approach to tackle the challenges associated with data privacy and overload in ML-based intrusion detection systems (IDSs). Drawing inspiration ...
Characterization of Business Establishments and Commercial Vehicle Movements Utilizing Machine Learning Techniques in Halifax, Canada
(2024-04-15)
This thesis develops a commercial vehicle travel demand forecasting model. First, it characterizes business establishments to investigate the agglomeration of businesses. Next, it develops location choice models for five ...