The collection of big data, as an alternative to traditional resource-intensive manual data
collection approaches, has become significantly more feasible over the past decade. The …

With the growth of the Internet of Things (IoT), Smart (er) Cities have been a research goal of
researchers, businesses and local authorities willing to adopt IoT technologies to improve …

The current fleet of cars requires reevaluation, upgrades, and replacement in response to
the expanding human population, the increase in urban traffic volume, and the elevated …

Any life event or action can be seen as a potential source of data to analyze. By analyzing
such data, we can gain insights into the facts. The situation is no different in public transport …

Mobile devices equipped with sensors are generating an amount of geo-spatial related data
that, properly analyzed can be used for future applications. In particular, being able to …

Machine learning (ML) has recently made a major contribution to the fields of Material
Science (MS). In this study, ML algorithms are used to learn atoms types over structural …

This chapter is an abridged sort of “vision statement” on what supercomputing will be in the
future. The main thrust of the argument is that most of the problem lies in the trafficking of …

Öz PRACTICAL DATA SCIENCE: EXAMINING THE CORRELATIONS BETWEEN
STRUCTURAL AND ELECTRONIC PROPERTIES OF DIFFERENT PHASES OF TiO 2 …

Developed and rural areas close to urban centers can use public transit as an effective
strategy to reduce traffic congestion. Transit can improve mobility, accessibility, and quality …

Using a large volume of bus data in the form of GPS coordinates (over 100 million data
points) and automated passenger count data (over 1 million data points) we have developed …