Unknown faults may occur in practical applications, necessitating an open-set classifier that can classify known classes as well recognize unknown faults. The current deep classification methods are implicit optimizing the intra- or inter-class distances, which result performance degradation when number of far exceeds known. In this study, discriminative angle features for vibration signals inv...

The situation of the international market has entered era globalization which resulted in changes trade. If a country can export as well import commodity, then that will specialize producing product so to increase its productivity by reducing cost production per unit. This involve exchange products from same industrial sector, known Intra-Industrial Trade. As third highest cocoa exporting world...

Deep learning-based multi-source unsupervised domain adaptation (MUDA) has been actively studied in recent years. Compared with single-source (SUDA), shift MUDA exists not only between the source and target domains but also among multiple domains. Most existing algorithms focus on extracting domain-invariant representations all whereas task-specific decision boundaries classes are largely negle...

BACKGROUND The purpose of this study was to report findings of exploratory arthroscopic assessment performed in conjunction with removal of internal fixation device placed in the initial surgery for rotational ankle fracture. METHODS A total of 53 patients (33 male, 20 female) who underwent surgery for rotational ankle fracture between November 2002 and February 2008 were retrospectively revi...

The exchange rate plays an essential role for firms which export goods and import raw materials. In this paper, the effects of real specific exchange rate fluctuations in imports, exports and aggregate trade on industry sector, chemical and transportation industries outputs in 49 OIC countries were investigated by using a panel data model over 1990-2014. Particularly, this paper presents eviden...

This paper presents a music genre classification system that relies on note pitch and duration features, derived from their respective histograms. Feature histograms provide a simple but yet effective classifier for the purposes of genre classification in intra-classical genres such as sonatas, fugues, mazurkas, etc. Detailed experimental results illustrate the significant performance gains due...

Intra-pulse modulation classification of radar emitter signals is beneficial in analyzing systems. Recently, convolutional neural networks (CNNs) have been used intra-pulse signals, and the results proved better than traditional methods. However, there a key disadvantage these CNN-based methods: CNN requires enough labeled samples. Labeling modulations signal samples tremendous amount prior kno...

With the increase in population along with economic prosperity, an enormous increase in the number and types of vehicles on the roads occurred. This fact brings a growing need for efficiently yet effectively classifying vehicles into their corresponding categories, which play a crucial role in many areas of infrastructure planning and traffic management. This paper presents two vehicle-type cla...

Objective: The reliability of the thoracolumbar injury classification and severity (TLICS) score is well established; however, its among young neurosurgeons in particular has not been investigated. This study was designed to identify intra- inter-observer differences between TLICS system McAfee neurosurgeons, with goal facilitating communication physicians treatment decision-making for patients...