Feature selection is a real-world problem that finds a minimal feature subset from an original
feature set. A good feature selection method, in addition to selecting the most relevant …

Background and objective Medical data plays a decisive role in disease diagnosis. The
classification accuracy of high-dimensional datasets is often diminished by several …

Real estate is potentially contributing to the economic growth. It has a strong correlation
between property owners and beneficiaries. The accurate forecast of future property prices …

An efficient traffic signal control system (TSCS) should not only be reactive to the current
traffic but also be predictive by anticipating future traffic disturbances. In this study, we …

Предложен метод предварительной оценки прагматической ценности информации в
задаче классификации состояния объекта на основе глубоких рекуррентных сетей …

Many decision making situations are characterized by a hierarchical structure where a lower-
level (follower) optimization problem appears as a constraint of the upper-level (leader) one …

This paper presents multiple readings to solve a vehicle routing problem with pickup and
delivery (VRPPD) based on a real-life case study. Compared to theoretical problems, real …

Authorities in modern cities are facing daily challenges related to traffic control. Due to the
problem complexity caused by the urbanization growth, investing in developing traffic signal …

Feature construction can contribute to comprehensibility and performance of machine
learning models. Unfortunately, it usually requires exhaustive search in the attribute space …

Predicting traffic disturbances is a challenging problem in urban cities. Emergency vehicles
(EV) is one of the biggest disturbances that affect traffic fluidity. The goal of this paper is to …