We present a new algorithm, which solves the problem of distributively finding a minimum
diameter spanning tree of any (non-negatively) real-weighted graph G=(V,E,ω). As an …

With urging problem of energy and pollution, smart grid is becoming ever important. By
gradually changing the actual power grid system, smart grid may evovle into different systems by …

Spanning trees help removing cycles and establishing short paths between a given node
and the rest of the nodes in a network. In ad hoc mobile computing networks, however, …

With the growth in use of social media platform, Sentiment Analysis methods become more
and more popular while for classical Arabic there are many datasets available, most of the …

In this paper, we propose a novel approach to optimize parameters for strategies in automated
trading systems. Based on the framework of Reinforcement learning, our work includes …

This paper evaluates through an empirical study eight different distance measures used on
the LDA + K-means model. We performed our analysis on two miscellaneous datasets that …

We investigate the behavior of a market index by using the persistence diagram of its time-delay
embedding, a powerful tool of the Topological Data Analysis approach. Furthermore, we …

Energy systems are often socio-technical complex systems that are facing new challenges
regarding technological and environmental changes. Because of their complex nature, they …

This paper presents an asynchronous distributed algorithm for solving the maximum flow
problem which is based on the preflow-push approach of Golberg-Tarjan. Each node in graph …

We address in this work the problem of document clustering. Our approach is based on the
following pipeline. First, we quantify the topics in a document. Then, a number of clusters is …