scholarly journals Nonstationarity of Hydrological Records and Recent Trends in Trend Analysis: A State-of-the-art Review

2015 ◽  
Vol 2 (3) ◽  
pp. 527-542 ◽  
Author(s):  
Mehmetcik Bayazit
Author(s):  
Brian Daniel Herrera-González ◽  
Alexander Gelbukh ◽  
Hiram Calvo

Author(s):  
János Csaba Kun ◽  
Daniel Feszty

Recent trends in vehicle engineering require manufacturers to develop products with highly refined noise, vibration and harshness levels. The use of trim elements, which can be described as Poroelastic materials (PEM), are key to achieve quiet interiors. Finite Element Methods (FEM) provide established solutions to simple acoustic problems. However, the inclusion of poroelastic materials, especially at higher frequencies, proves to be a difficult issue to overcome. The goal of this paper was to summarize the state-of-the-art solutions to acoustic challenges involving FEM-PEM simulation methods. This involves investigation of measurement and simulation campaigns both on industrial and fundamental academic research levels.


2020 ◽  
Vol 29 (3) ◽  
pp. 2199-2210 ◽  
Author(s):  
Abel Girma ◽  
Tianlin Qin ◽  
Hao Wang ◽  
Denghua Yan ◽  
Mohammed Gedefaw ◽  
...  

Author(s):  
Kalim Deshmukh ◽  
Mohammad Talal Houkan ◽  
Mariam AlAli AlMaadeed ◽  
Kishor Kumar Sadasivuni

Author(s):  
Michele Bevilacqua ◽  
Tommaso Pasini ◽  
Alessandro Raganato ◽  
Roberto Navigli

Word Sense Disambiguation (WSD) aims at making explicit the semantics of a word in context by identifying the most suitable meaning from a predefined sense inventory. Recent breakthroughs in representation learning have fueled intensive WSD research, resulting in considerable performance improvements, breaching the 80% glass ceiling set by the inter-annotator agreement. In this survey, we provide an extensive overview of current advances in WSD, describing the state of the art in terms of i) resources for the task, i.e., sense inventories and reference datasets for training and testing, as well as ii) automatic disambiguation approaches, detailing their peculiarities, strengths and weaknesses. Finally, we highlight the current limitations of the task itself, but also point out recent trends that could help expand the scope and applicability of WSD, setting up new promising directions for the future.


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