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Traffic Time Headway Prediction And Analysis: A Deep Learning Approach, Saumik Sakib Bin Masud
Traffic Time Headway Prediction And Analysis: A Deep Learning Approach, Saumik Sakib Bin Masud
Theses and Dissertations
In the modern world of Intelligent Transportation System (ITS), time headway is a key traffic flow parameter affecting ITS operations and planning. Defined as “the time difference between any two successive vehicles when they cross a given point”, time headway is used in various traffic and transportation engineering research domains, such as capacity analysis, safety studies, car-following, and lane-changing behavior modeling, and level of service evaluation describing stochastic features of traffic flow. Advanced travel and headway information can also help road users avoid traffic congestion through dynamic route planning, for instance. Hence, it is crucial to accurately model headway distribution …
Signal Processing Combined With Machine Learning For Biomedical Applications, Md Shakhawat Hossain
Signal Processing Combined With Machine Learning For Biomedical Applications, Md Shakhawat Hossain
Theses and Dissertations
The Master’s thesis is comprised of four projects in the realm of machine learning and signal processing. The abstract of the thesis is divided into four parts and presented as follows,
Abstract 1: A Kullback-Leibler Divergence-Based Predictor for Inter-Subject Associative BCI.
Inherent inter-subject variability in sensorimotor brain dynamics hinders the transferability of brain-computer interface (BCI) model parameters across subjects. An individual training session is essential for effective BCI control to compensate for variability. We report a Kullback-Leibler Divergence (KLD)-based predictor for inter-subject associative BCI. An online dataset comprising left/right hand, both feet, and tongue motor imagery tasks was used to …