The Massachusetts Institute of Technology (MIT) Center for Transportation & Logistics and Mecalux have developed an artificial intelligence-based simulator designed to optimise inventory distribution ...

Abstract: Autonomous vehicles are becoming a reality, yet it is only truly autonomous with a strong model. The system can be trained by implementing a genetic algorithm as an optimizer in its ...

Ports across the Mediterranean are facing a mounting engineering dilemma as rising sea levels and intensifying storm patterns ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Using data from ten healthy adults, we trained a Gradient Boosting (GB) surrogate model to predict normalized metabolic cost as a function of Peak Magnitude and End ...

The consortium running the European Space Agency's (ESA) Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms developed by UZH ...

Abstract: After going through the lifecycle of design, construction, and operation, nu-clear reactors need go to decommissioning phase according to requirement of nuclear regulator or need of ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...

This project simulates and optimizes traffic flow at a four-way intersection, employing Petri nets (Java) for simulation and a genetic algorithm (Java) to determine optimal traffic light phase ...