Construction project equipment are subject to several types of breakdowns throughout the project duration. As a result, contractors and equipment operators are keen to establish and adopt effective equipment maintenance ...
Rutting is one of the critical distresses affecting the safety and serviceability of flexible pavements. Modeling the progression of rutting remains a challenge due to its numerous interacting factors. There exist many ...
Time-series presents an important class of data in our everyday life and is becoming predominant with the abundance of sensors and IoT devices, which as a result has created opportunities for new machine learning (ML) ...
Automated negotiation is a multi-agent task where one or multiple negotiating bots aim to resolve a conflict or reach a mutually beneficial agreement. Previous approaches have focused on achieving financially optimal ...
Tiny Machine Learning (TinyML) is a rapidly growing field that aims to bring machine learning to resource-constrained embedded systems such as microcontrollers. These devices have limited processing power, memory, and ...
Second order optimization methods have always been less widely used for training neural networks than first order methods such as Stochastic Gradient Descent. This is mainly due to the complexity and high costs in terms ...