نتایج جستجو برای: machine work performance
تعداد نتایج: 2047820 فیلتر نتایج به سال:
An automatic selection method for an integrated multiple MT system is proposed. This method employs a machine learning approach to build an automatic MT selector. The selector learns based on the parameters of MT systems and the evaluation result provided by a human evaluator. An experiment is conducted on two MT systems developed in our laboratories. Experimental results show the effectiveness...
The traditional method in Iran of cracking walnut manually, using harmer or knife cutter is laborintensive, slow and tedious; besides, most mechanical crackers do not give satisfactory results in terms of kernel extraction quality. A prototype machine was developed to crack walnut. A walnut cracker was designed, constructed and tested to evaluate its performance. The cracker, which consists of ...
This paper addresses the common cycle multi-product lot-scheduling problem in flexible flow lines (FFL) where the product demands are deterministic and constant over a finite planning horizon. Objective is minimizing the sum of setup costs, work-in-process and final products inventory holding costs per time unite while satisfying the demands without backlogging. This problem consists of a combi...
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 work, we proposed the use of Support Vector Machines (SVM) to predict the performance of machine learning algorithms based on features of the learning problems. This work is related to the Meta-Regression approach, which has been successfully applied to predict learning performance, supporting algorithm selection. Experiments were performed in a case study in which SVMs with different k...
This study aims to analyze, identify, and describe the impact of work discipline motivation on performance public elementary school teachers in Cluster 1, Rambutan District, as well simultaneously both factors those teachers’ performance. used a quantitative methodology. approach allows researchers quantify effectiveness 1’s District. The study’s findings indicate that has favorable significant...
When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the crowd workers. However, if researchers wish to integrate the crowd with “off-the-shelf” machine classifiers, this deep integration is not always possible. This work explores two strategies to increase accuracy and decrea...
Abstract. The scenario of this work is defined by the need of many Machine Learning algorithms to tune a number of parameters that define its behavior; the resulting performance can be evaluated with different indices. The relationship between parameters and performance may be neither linear nor straightforward. This work proposes a qualitative approach to the afore-mentioned relationship by us...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید