Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual interpretation of vast amounts of data is often tedious and error-prone. Furthermore, changes in lesions are often subtle and extremely unrepresentati...

In this paper, we first introduce a generalized version of open shop scheduling (OSS), called generalized cyclic open shop scheduling (GCOSS) and then develop a hybrid method of metaheuristic to solve this problem. Open shop scheduling is concerned with processing n jobs on m machines, where each job has exactly m operations and operation i of each job has to be processed on machine i . However...

One of the most significant and effective criteria in the process of cutting dimensional rocks using the gang saw is the maximum energy consumption rate of the machine, and its accurate prediction and estimation can help designers and owners of this industry to achieve an optimal and economic process. In the present research work, it is attempted to study and provide models for predicting the m...

Within the framework of the hierarchical hybrid control theory presented in 3], one may pose the following hybrid modelling problem: for a given nite state machine M, nd a state space X, a state space partition , and a controlled ODE system S on X such that the associated hierarchical hybrid partition machine M based upon S is a hybrid in-block controllable (HIBC) machine satisfying M = M. In t...

Optimal engine performances can be accomplished by quantum effects. Here we explore two routes toward ideal engines, namely (1) systems that operate as hybrid machines being able to perform more than one useful task and (2) the suppression of fluctuations in doing such tasks. For classical devices, absence is conditioned a high entropy production, dictates thermodynamic uncertainty relations. g...

We describe a substitution-based system for hybrid machine translation (MT) that has been extended with machine learning components controlling its phrase selection. The approach is based on a rule-based MT (RBMT) system which creates template translations. Based on the rule-based generation parse tree and target-to-target alignments, we identify the set of “interesting” translation candidates ...

This paper presents the online demo of Matador, a large-scale Spanish-English machine translation system implemented following the Generation-heavy Hybrid Machine Translation (GHMT) approach.

The tracking of objects in real time lends itself to vast industrial and practical applications; of interest is the tracking of objects within a manipulator's workspace by using machine vision. This paper presents the basics for control by vision of a 3-DOF robotic manipulator using artificial intelligence. The object or objects are first identified, next the object's movement or trajectory is ...