To automatically annotate songs with descriptive keywords, a variety of content-based auto-tagging strategies have been proposed in recent years. Different approaches may capture different aspects of a song’s musical content, such as timbre, temporal dynamics, rhythmic qualities, etc. As a result, some auto-taggers may be better suited to model the acoustic characteristics commonly associated w...

this study is an attempt to develop an integrated methodology to predict the impact of the caspian sea on flooding using geographic information systems (gis) and hydrodynamic modeling. a rise in the sea level might lead to major flooding events, and have a severe impact on the spatial development of cities and regions. the feasibility of simulating a flood event along a drain channel is evaluat...

drought monitoring and evaluation in water resources systems, are basic steps in systems analysis aswell as the optimal water resources allocation for different demands. therefore, in this study, whole of irancountry was selected as the study area, and it was attempted to determine the simultaneous droughts whichhad been occurred in the period of 1981-2010, using monthly rainfall data of 31 syn...

This study is an attempt to introduce scientific fundamentals and available methods for wellhead protection area (capture zone) delineation for drinking water wells in cities. The results of this study could obviate some demands of the national water and wastewater company in quality control of the drinking water resources by delineation and application of the wellhead protection areas. For thi...

Background: The dynamic phantom is one of the best tools to study the impact of motion on tumor target delineation and absorbed dose verification during dose delivery. Materials and Methods: this study, a 6-DOF (degrees of freedom) phantom was designed following the stacked serial kinematics and assembled by six commercial motion stages to generate 6-DOF motion, which were RotX (pitch, around X...

In this study, a new long-duration holter electrocardiogram (ECG) major events detection-delineation algorithm is described which operates based on the false-alarm error bounded segmentation of a decision statistic with simple mathematical origin. To meet this end, first three-lead holter data is pre-processed by implementation of an appropriate bandpass finite-duration impulse response (FIR) f...

Introduction: The excellent soft-tissue contrast of magnetic resonance imaging (MRI) is appealing for delineation organs-at-risk (OARs) as it required radiation therapy planning (RTP). In the last decade there has been an increasing interest in using deep-learning (DL) techniques to shorten labor-intensive manual work and increase reproducibility. This paper focuses on automatic segmentation 27...