Abstract We provide a preprocessing method to reduce the vehicle capacity for instances of capacitated routing problem. This improves LP bound many formulations It also speeds up common algorithms which computation time depends on capacity. Our simulation experiments suggest that, perhaps surprisingly, often is very tight in sense that it cannot be reduced by much.

Due to the depletion of the fossil fuels and major concerns about the security of energy in the future to produce fuels, the importance of utilizing the renewable energies is distinguished. Nowadays there has been a growing interest for biofuels. Thus, this paper reveals a general optimization model which enables the selection of preprocessing centers for the biomass, biofuel plants, and wareho...

This document provides an overview of preprocessing techniques for audio signals to be matched with EEG signals for the purpose of hearing aid control. It is part of Deliverable D2.2 of the COCOHA project, funded by the H2020 ICT programme of the European Union under grant number 644732. The COCOHA project aims to help hearing impaired persons so that they can deal with challenging noisy enviro...

The advancements in pattern recognition has accelerated recently due to the many emerging applications which are not only challenging, but also computationally more demanding, such evident in Optical Character Recognition (OCR), Document Classification, Computer Vision, Data Mining, Shape Recognition, and Biometric Authentication, for instance. The area of OCR is becoming an integral part of do...

Preprocessing of speech signals is considered a crucial step in the development of a robust and efficient speech or speaker recognition system. In this paper, we present some popular statistical outlier-detection based strategies to segregate the silence/unvoiced part of the speech signal from the voiced portion. The proposed methods are based on the utilization of the 3 σ edit rule, and the Ha...

Preprocessing of speech signals is considered a crucial step in the development of a robust and efficient speech or speaker recognition system. In this paper, we present some popular statistical outlier-detection based strategies to segregate the silence/unvoiced part of the speech signal from the voiced portion. The proposed methods are based on the utilization of the 3 σ edit rule, and the Ha...

Phylogenetic reconstruction is one of the fundamental problems in computational biology. The combinatorial explosion of the state space and the complexity of mathematical models impose practical limits on workable problem sizes. In this article we explore the scalability of popular algorithms under real datasets as problem dimensions grow. We furthermore develop an efficient preclassification a...