Dr. Mehdi Ghatee as a keynote speaker in 4th International Conference on Natural Sciences (ICNS2019)-Mathematics & Computer presented a seminar entitled as “Smartphones: Effective Tools for Intelligent Transportation Systems in Smart Cities”, 18 And 19 April 2019, organized by University of Kurdistan, Cihan University, Charmo University. For his presentation see Read More
The usage of decomposition methods to reduce the size of problems is very important in the different applications. In the artificial intelligence applications, we face with the different problems that can be decomposed into some sub-problems. Just as some examples, the multi-commodity flow problem, the scheduling problem and resource assignment problems can be solved by… Continue reading Decomposition Methods for Optimization and Artificial Intelligence
We started a mega-project on how we can improve the performance of Deep Learning, in the case of modifying its ability for features selection and for classification. Also we started to find a wide-range of applications which can be solved by Deep Learning. We focus on some applications in intelligent transportation systems and smart city… Continue reading Deep Learning: How we can improve, How we can use?
One of the most important data sources in Intelligent Transportation Systems is images source. Fixed cameras or portable ones can capture these images but the latter is more effective. In , a drone was used for freeway monitoring system. Cao et al.  proposed a system for vehicle detection and tracking using Unmanned Aerial Vehicles… Continue reading Unmanned Aerial Vehicles (UAVs) for Intelligent Transportation Systems
Signal Optimization is one of the most important problems in urban traffic management. Previously, we worked on this topic by using different nonlinear optimization and network flow algorithms. Some of the obtained results have been published in the following papers: Descent direction algorithm with multicommodity flow problem for signal optimization and traffic assignment jointly, M Ghatee,… Continue reading Cooperative Signal Optimization
In this project, we have proven that inheritance between neural networks based on tree structures (Neural Trees) is possible and adds accuracy and reduces the time required for classification. We share the knowledge of parents to the child nodes and avoid from duplication in computing. To view our results, see the following articles: Shadi Abpeykar,… Continue reading Neural Trees and Inheritance