This research aims to <span lang="EN-US">improve anomaly detection performance by developing two variants of hybrid models combining supervised and unsupervised machine learning techniques. Supervised cannot detect new or unseen types anomaly. Hence in variant 1, a model that detects normal samples is followed an screen The weak differentiating between noise fraud. 2, the incorporates val...

Energy management in Hybrid Electric Vehicles (HEV) has been actively studied recently because of its potential to significantly improve fuel economy and emission control. Because of the dual-power-source nature and the complex configuration and operation modes in a HEV, energy management is more complicated and important than in a conventional vehicle. Most of the existing vehicle power optimi...

An excavation damage zone (EDZ) can be defined as a rock zone where the rock properties and conditions have been changed due to the processes related to an excavation. This zone affects the behavior of rock mass surrounding the construction that reduces the stability and safety factor and increase probability of failure of the structure. This paper presents an approach to build a model for the ...

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...

Permanent magnet synchronous machines are known as a good candidate for hybrid electric vehicles due to their unique merits. However they have two major drawbacks i.e. high cost and small speed range. In this paper an optimal design of a permanent magnet machine is presented. A reduction of permanent magnet material for a constant torque and an extension in speed and torque ranges are chosen as...

This work was aimed at assessing whether in silage maize it is possible to replace precisionplanting with a volumetric seeding in the perspective of developing hybrid machines to strip tilland sow both high density crops like winter cereals and low density crops like maize. This inorder to reduce the number of machines in the farm, simplify logistics and reduce amortizationcosts. Two experiment...

The paper focuses on the creation of a semantic-based hybrid Machine Translation system between Bulgarian and English in the domain of Information Technology. The preprocessing strategies are presented. A method for the substitution of English word forms with the synsets or Bulgarian representative lemmas is discussed. Finally, the creation of a factored model in the Moses system is described.

This paper describes a shallow parsing formalism aiming at machine translation between closely related languages. The formalism allows to write grammar rules helping to (partially) disambiguate chunks in input sentences. The chunks are then translatred into the target language without any deep syntactic or semantic processing. A stochastic ranker then selects the best translation according to t...

In the current European scenario, characterized by the coexistence of communities writing and speaking a great variety of languages, machine translation has become a technology of capital importance. In areas of Spain and of other countries, coofficiality of several languages implies producing several versions of public information. Machine translation between all the languages of the Iberian P...