Ranking web pages for presenting the most relevant web pages to user’s queries is one of the main issues in any search engine. In this paper, two new ranking algorithms are offered, using Reinforcement Learning (RL) concepts. RL is a powerful technique of modern artificial intelligence that tunes agent’s parameters, interactively. In the first step, with formulation of ranking as an RL problem,...

We discuss a developing software-defined radio framework and kernel, Surfer, which, among other changes compared with known current frameworks, moves control of when to process a block and how much data to process into the blocks themselves via buffer thresholds. Varying threshold values shows a trade-off between data processing latency and throughput, with respect to overhead time. Processing ...

Waves on the ocean are generated well away from any shoreline and travel under a prevailing wind towards a distant shore. These deep-water waves eventually become shallow-water waves and break near the shore creating a turbulent surf front of bubbles, foam and spray, encompassing secondary breaking and smaller splashing waves. Human surfers can propel themselves shorewards on these breakers or ...

The focus of this paper is on time-constrained collaborative problem solving using common web-based communication systems. The rescue action of a missing Polish kite surfer conducted with help of the kiteforum.pl community created a unique opportunity to investigate how people organize such actions in the Internet and how they collaborate under the enormous pressure of time. Quantitative and qu...

Nowadays most of Internet users surfer from spam emails. Filtering technique is one of the effective methods which help us to get rid of the spam emails. One of the problems of filtering is that it cannot detect spam emails accurately when the concepts change or drift happens as time goes by. Therefore, it is required to handle concept drift accurately and quickly. This paper proposes a new alg...

Spectral clustering and co-clustering are well-known techniques in data analysis, and recent work has extended spectral clustering to square, symmetric tensors and hypermatrices derived from a network. We develop a new tensor spectral co-clustering method that simultaneously clusters the rows, columns, and slices of a nonnegative three-mode tensor and generalizes to tensors with any number of m...

The importance of a Web page is an inherently subjective matter, which depends on the readers interests, knowledge and attitudes. But there is still much that can be said objectively about the relative importance of Web pages. This paper describes PageRank, a method for rating Web pages objectively and mechanically, e ectively measuring the human interest and attention devoted to them. We compa...

In this paper we present new improvement ideas of the original PageRank algorithm. The first idea is to introduce an evaluation of the statistical reliability of the ranking score of each node based on the local graph property and the second one is to introduce the notion of the path diversity. The path diversity can be exploited to dynamically modify the increment value of each node in the ran...

Highlights Best paper award IEEE Int. Middle Eastern Multiconf. on Simul. & Model. Beirut, Lebanon Creation of the Regional network on healthcare engineering (RIS) Members of the board of the French CNRS national research group GDR MACS Co animation of the IMS2 “Intelligent Manufacturing and Services Systems” GDR MACS PPF project with LAMIH, LAGIS and the University Politehnica of Bucharest Int...

This article discusses our development of a new web engine, the syzygy surfer, which aims to induce a search/browsing experience that is more creative than traditional search. We do this by purposefully combining the ambiguity of natural language with the precision of semantic web technologies. Here, we set out the framework for our investigation and discuss the context and background ideas tha...