Search

Fall 2015

Burlet, Gregory D.

Music transcription is the process of extracting the pitch and timing of notes that occur in an audio recording and writing the results as a music score, commonly referred to as sheet music. Manually transcribing audio recordings is a difficult and time-consuming process, even for experienced...

2017

Burlet, G., Hindle, Abram

Music transcription involves the transformation of an audio recording to common music notation, colloquially referred to as sheet music. Manually transcribing audio recordings is a difficult and time-consuming process, even for experienced musicians. In response, several algorithms have been...

Spring 2023

Li, Gangyi

Illumination receives a great deal of attention as white lighting-emitting diodes (WLEDs) become energy-efficient light sources in households and commercial buildings, on streets and highways, and at stadiums and construction sites. In general, lenses and mirrors are used to control the spatial...

Fall 2024

Williams, Heather E.

As reported in 2020, millions of individuals worldwide have some form of upper limb amputation or congenital loss of limb that impedes execution of everyday actions like reaching for, grasping, transporting, and releasing objects. Although lost function can be artificially replaced via...

Spring 2024

He, Rui

Condition-based maintenance (CBM) is a maintenance approach that uses condition monitoring data to make maintenance decisions. The goal of CBM is to avoid machine shutdowns, reduce maintenance costs, and improve system safety. In modern mechanical systems, a wide range of sensors are used to...

Spring 2018

Hosseinzadeh Heydarabad,Sepideh

In this work we address the problem of fast shadow detection from single images of natural scenes. Different from traditional methods that employ expensive optimization methods, we propose a fast semantic-aware Convolutional Neural Network learning framework which trains on different kinds of...

2018

Sethi, R., Weninger, N., Hindle, Abram, Bulitko, V., Frishkopf, M.

Deep learning has yielded promising results in music information retrieval and other domains compared to machine learning algorithms trained on hand-crafted feature representations, but is often limited by the availability of data and vast hyper-parameter space. It is difficult to obtain large...