Across our digital lives, two powerful forces of data utility and data privacy push and pull against each other. In …
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Leila Zahedi
Building a useful machine learning model is a challenging process, requiring human expertise to perform various proper tasks and ensure …
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A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data
Franklin Abodo
Traffic simulation software is used by transportation researchers and engineers to design, and evaluate the efficacy of, changes intended to …
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Jayesh Soni
Anomaly Detection has been researched in various domains with several applications in intrusion detection, fraud detection, system health management, and …
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Roger Boza
Convolutional Neural Network (CNN) is a type of Artificial Neural Network (ANN) designed explicitly for processing unstructured data, such as …
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Cesar Rojas
Environmental parameters (e.g., water quality, vegetation, and weather) measuring, monitoring, and estimation are critical for threat detection and mitigation. As …
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Ahmed Imteaj
With the improvement of network infrastructures and the advancement of IoT technologies, it is crucial to perform computation at the …
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W. Victor H. Yarlott
To understand how people communicate, we must understand how they leverage shared stories and all the knowledge, information, and associations …
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