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Computing and Random numbers

Computing and Random numbers

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Computing and random numbers examines various aspects of random numbers and variables including an extensive overview of Computing and random numbers. It includes Implementation of Hardware-Accelerated Scalable Parallel Random Number Generators, True-Randomness and Pseudo-Randomness in Ring Oscillator-Based True Random Number Generators, Random Route and Quota Sampling: Do They Offer Any Advantage over Probably Sampling Method and Fuzzy -Means and Cluster Ensemble with Random Projection for Big Data Clustering. Provides the reader with insights into the development of its history, so as to understand the social emotional optimization algorithm with random emotional selection strategy, lymph diseases prediction using random forest and particle swarm optimization, challenges of internal and external variables of consumer behaviour towards mobile.

Dr. Zoran Gacovski has earned his PhD degree at Faculty of Electrical engineering, Skopje. His research interests include Intelligent systems and Software engineering, fuzzy systems, graphical models (Petri, Neural and Bayesian networks), and IT security. He has published over 50 journal and conference papers, and he has been reviewer of renowned Journals. In his career he was awarded by Fulbright postdoctoral fellowship (2002) for research stay at Rutgers University, USA. He has also earned best-paper award at the Baltic Olympiad for Automation control (2002), US NSF grant for conducting a specific research in the field of human-computer interaction at Rutgers University, USA (2003), and DAAD grant for research stay at University of Bremen, Germany (2008). Currently, he is a professor in Computer Engineering at European University, Skopje, Macedonia.