In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Wireless sensor networks are poised to revolutionize our abilities in sensing and controlling our environment. Power conservation is a primary research concern for these networks....
Sharat C. Visweswara, Rudra Dutta, Mihail L. Sichi...
We present a novel approach to estimate the time delay between light curves of multiple images in a gravitationally lensed system, based on Kernel methods in the context of machine...
Juan C. Cuevas-Tello, Peter Tino, Somak Raychaudhu...
Information about a student's level or state of knowledge is a key aspect for efficient, personalized learning activities. E-learning systems gain such information in two ways...