A transfer learning approach for the 2018 FEMH voice data challenge

KA Islam, D Perez, J Li - … conference on big data (Big Data), 2018 - ieeexplore.ieee.org
Human voice could be significantly affected by neoplasm, vocal palsy, and phono-trauma
diseases. Computer aided diagnosis by analyzing human voice can be a remote and cost …

Quantifying seagrass distribution in coastal water with deep learning models

D Perez, K Islam, V Hill, R Zimmerman, B Schaeffer… - Remote Sensing, 2020 - mdpi.com
Coastal ecosystems are critically affected by seagrass, both economically and ecologically.
However, reliable seagrass distribution information is lacking in nearly all parts of the world …

Deep learning for remote sensing image super-resolution

MRUI Hoque, R Burks, C Kwan… - 2019 IEEE 10th Annual …, 2019 - ieeexplore.ieee.org
The aim of image super-Resolution (SR) is to enhance image resolution while still retain the
integrity of the original image. There are many ongoing types of research on image super …

Applied Deep Learning: Case Studies in Computer Vision and Natural Language Processing

MRU Hoque - 2022 - search.proquest.com
Deep learning has proved to be successful for many computer vision and natural language
processing applications. In this dissertation, three studies have been conducted to show the …

Feature Extraction and Design in Deep Learning Models

D Perez - 2021 - search.proquest.com
The selection and computation of meaningful features is critical for developing good deep
learning methods. This dissertation demonstrates how focusing on this process can …

[PDF][PDF] ODU Digital Commons

D Perez - 2021 - academia.edu
This chapter offers an overview of the dissertation and introduces the relevant topics that will
be discussed through the document. Specifically, a brief history of deep learning is offered in …