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To Intervene or not to Intervene: The Dilemma of Management by Exception
Vulnerability Assessment in Sri Lanka in the Context of Tsunami Early Warning
Experimental Vehicles as Development Tools
Crowd Spatial Patterns at Bus Stops: Security Implications and Effects of Warning Messages
Planning of General Aviation Pilots Using Interviews
Autonomous Stall Recovery Dynamics as a Prevention Tool for General Aviation Loss of Control
ICD Concept: An Overview of the Development from an Original Purpose to a Global Viewpoint
Driver Behavior Analysis Based on Numerical Data Using Deep Neural Networks
Artificial Intelligence: Evolution, Benefits, and Challenges
Research on UAV Route Planning Technology Based on Evolutionary Algorithm
Recognition of Abnormal Driving Behavior of Highway Vehicles Based on Data Characteristics
Implementing OpenCV and Dlib Open-Source Library for Detection of Driver’s Fatigue
Connecting the Connected: How Is Sri Lanka Prepared to Respond to Digital Tourists?
Smart Bus Concept of COVID-19 Prevention Using FaceBio Keys
Drowsy Driving Detection Based on Deep Neural Network for Accident Avoidance
An Effective Traffic Sign Image Classification and Detection Using CNN
Impact of Data Cleansing for Urban Bus Commercial Speed Prediction
Vehicle Detection Algorithm Based on Video Image Processing in Intelligent Transportation System
Survey on the Effectiveness of Traffic Sign Detection and Recognition System
Parameters Optimization of YOLO Algorithm for Vehicle Detection in SMIT Campus
Implementation of a PID Controller for Autonomous Vehicles with Traffic Light Detection in CARLA
An IOT-Based Automotive and Intelligent Toll Gate Using RFID
Towards to Characterization of Network Management Traffic in OpenStack-Based Clouds
ESA Datalabs: Digital Innovation in Space Science
Automated Detection and Estimation of Pavement Distress Dimensions Using Computer Vision
Innovative on the Road: Who Invents and Who Follows?
Back-Casting Initial IRI for Surface Roughness Model Calibration in Michigan
Drone Swarm Coordination Using Reinforcement Learning for Efficient Wildfires Fighting