This paper presents a set of rules which form the prototype lexical selection component of a rule-based machine translation system between two closely-related minority languages, North Sámi and Lule Sámi. While the languages have comprehensive monolingual computational linguistic resources, they lack bilingual resources. One-to-one relations in the lexicon dominate, but there are also more comp...

This paper is an continuation of the accompanying paper with the same main title. The first paper reviewed instance selection algorithms, here results of empirical comparison and comments are presented. Several test were performed mostly on benchmark data sets from the machine learning repository at UCI. Instance selection algorithms were tested with neural networks and machine learning algorit...

Development of robust concrete mixes with a lower environmental impact is challenging due to natural variability in constituent materials and multitude possible combinations mix proportions. Making reliable property predictions machine learning can facilitate performance-based specification concrete, reducing material inefficiencies improving the sustainability construction. In this work, we de...

Technology development and decentralized operations create changes in conventional electric systems, where load modeling has been a challenge dynamic analysis. Consequently, accurate models are required to ensure the quality of studies current systems. This paper presents an automatic strategy based on clustering, classification, optimization algorithms, obtain case several system operating con...