Neural Network-Based Aircraft Conflict Prediction in Final Approach Maneuvers

Optimal Coordinated Maneuvers for Three Dimensional Aircraft Conflict Resolution

for Three Dimensional Aircraft Conflict Resolution Jianghai Hu∗ University of California, Berkeley, CA 94720 Maria Prandini† University of Brescia, 25123 Brescia, Italy Shankar Sastry‡ University of California, Berkeley, CA 94720 Abstract In this paper, the problem of designing optimal conflict-free maneuvers for multiple aircraft encounters is studied. The candidate maneuvers may involve not o...

Prediction of Driver’s Accelerating Behavior in the Stop and Go Maneuvers Using Genetic Algorithm-Artificial Neural Network Hybrid Intelligence

Research on vehicle longitudinal control with a stop and go system is presently one of the most important topics in the field of intelligent transportation systems. The purpose of stop and go systems is to assist drivers for repeatedly accelerate and stop their vehicles in traffic jams. This system can improve the driving comfort, safety and reduce the danger of collisions and fuel consumption....

Nanofluid Thermal Conductivity Prediction Model Based on Artificial Neural Network

Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...

Drilling Stuck Pipe Prediction in Iranian Oil Fields: An Artificial Neural Network Approach

Prediction of Energy Consumption in the First Line of Tehran Metro: GMDH Neural Network Approach

Today, energy and its consumption are the main strategic plan of organizations and also the development of urban transport systems by considering a variety of economic, scientific, industrial, climate and growing urbanization is essential. Analysis of past trends in energy is the key to predict future trends, with regard to the rate of development of metro, for planning and future-oriented macr...