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Real-Time Attack Detection in Modern Automobile Controller Area Networks
Modern automobiles have numerous sensors, actuators and electronic systems interconnected via internal sub-networks that are not designed with...
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A Cyber Security Analysis Methodology for Evaluating Automobile Risk Exposures
Modern automobiles incorporate numerous sensors, actuators and electronic control units that work in concert to provide safe, efficient and...
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Redefining Homeland Security
Definitions are important, especially in the U.S. federal government. They are the basis of laws that justify budgets, fund programs and determine...
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Emerging Technologies for Edge Intelligent Computing Systems
Future next generation networks are expected to outline a wide class of ambitious challenges, mainly concerning the handling and fulfillment of...
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Offloading Methodologies for Air-Ground Edge Intelligent Computing Systems
Nowadays, a new domain for next Edge Intelligent computing systems, i.e., systems that combine edge computing with artificial intelligence (AI)...
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Predictive Maintenance Optimization Under Stochastic Production in Complex Systems
This paper focuses on predictive maintenance optimization under stochastic production in complex systems using prognostic Remaining Useful Life (RUL)...
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Comparing Power Flow Models in Tree Networks with Stochastic Load Demands
The process of charging electric vehicles (EVs) within an electricity network is a complex stochastic process. Various factors contribute to this...
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Minimizing the Non-value Task Times: A Pickup and Delivery Problem with Two-Dimensional Bin-Packing
The current crisis that struck the automotive industry created an urgency for improvement initiatives throughout the value chain. And, although it is...
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Robust Optimization for Operating Room Scheduling with Uncertain Surgical Durations: Impact of Risk-Aversion on Delay
We introduce a robust optimization model for scheduling operating rooms with uncertain surgical durations. The model addresses multiple operating...
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Multiple Heuristics with Reinforcement Learning to Solve the Safe Shortest Path Problem in a Warehouse
Intelligent vehicles, provided with an ability to move with some level of autonomy, recently became a hot spot in the mobility field. Still,...
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Automated City Segmentation for Pollution Threshold Attribution: The Example of New Cairo
Today the use of vehicles has greatly increased especially in cities where alternative transportation methods cannot really be relied on. Inevitably,...
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Efficient Motor Learning Through Action-Perception Cycles in Deep Kinematic Inference
How does the brain adapt to slow changes in the body’s kinematic chain? And how can it perform complex operations that need tool use? Here, we...
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Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference
To adapt an autonomous system to a newly given cognitive goal, we propose a method to dynamically combine multiple perception-action loops. Focusing...
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Contextual Qualitative Deterministic Models for Self-learning Embodied Agents
This work presents an approach for embodied agents that have to learn models from the least amount of prior knowledge, solely based on knowing which...
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An Alumni Satisfaction Model for Computing Departments
The perception of Alumni about the extent of learning and the usefulness of the knowledge gained is a key measure for education institutions to...
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Demystifying the Impact of ChatGPT on Teaching and Learning
The use of chatGPT as a teaching and learning tool is, generally, seen as a binary adventure to either destroy the traditional approaches to...
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A Consolidated Catalogue of Question Types for Programming Courses
Formulating questions, whether for assessments or to create exercises, is an essential component of teaching programming. The development of...
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Factors Determining the Success of Online Learning Videos for Programming
With the COVID-19 pandemic causing universities to close, online learning became a popular solution for educators and students. This study explored...
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Assessment Framework for Immersive Learning: Application and Evaluation
Technological advances, changing demands of students and employers as well as the stiff competition among higher education (HE) institutions are...
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Access to Escape - An Immersive Game-Based Learning Experience for Accessibility Education in Virtual Reality
The accessibility of digital systems determines the participation of a large number of people in everyday life. Therefore, it is important to teach...