Low Cost Methods for Predi

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RNA mole ules are sequen es of nu leotides that serve as more than mere intermediaries between DNA and proteins, e.g. as atalyti mole ules. Computational predi tion of RNA se ondary stru ture is among the few stru ture predi tion problems that an be solved satisfa tory in polynomial time. Most work has been done to predi t stru tures that do not ontain pseudoknots. Allowing pseudoknots introdu ...

Combination of The Peaks - Over - Threshold andBootstrapping Methods for Extreme Value Predi

Low Cost UAV-based Remote Sensing for Autonomous Wildlife Monitoring

In recent years, developments in unmanned aerial vehicles, lightweight on-board computers, and low-cost thermal imaging sensors offer a new opportunity for wildlife monitoring. In contrast with traditional methods now surveying endangered species to obtain population and location has become more cost-effective and least time-consuming. In this paper, a low-cost UAV-based remote sensing platform...

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ion and Model Checking Counter Example checking and predicate discovery Concrete System Verification Condition Initial Predicates Discovered predicates Property verified Abstract Counter−example Counter−example found Fig. 1. Predi ate Abstra tion Algorithm a veri ation ondition and the on rete system des ription it rst omputes an approximate abstra t model. This abstra t model is model he ked a...

Comparison Between Tagged Corpora For The Named Entity Task

We present two measures for omparing orpora based on information theory statisti s su h as gain ratio as well as simple termlass frequen y ounts. We tested the predi tions made by these measures about orpus diÆ ulty in two domains | news and mole ular biology | using the result of two well-used paradigms for NE, de ision trees and HMMs and found that gain ratio was the more reliable predi tor.