Search
Now showing items 51-60 of 148
Investigating 3D holoscopic visual content upsampling using super-resolution for cultural heritage digitization
(
Elsevier B.V.
, 2019 , Article)
Through this paper, we aim at investigating the impact of using deep learning-based technologies such as super-resolution on Holoscopic 3D (H3D) images. Holoscopic 3D imaging is a technology that aims at providing ...
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Edge computing is attracting an increasing attention presently even though most of the building energy efficiency solutions are still using cloud computing for gathering, pre-processing and analyzing energy data. However, ...
A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy
(
Springer Verlag
, 2018 , Conference Paper)
Automated Diabetic Retinopathy (DR) screening methods with high accuracy have the strong potential to assist doctors in evaluating more patients and quickly routing those who need help to a specialist. In this work, we ...
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ...
A New Forensic Video Database for Source Smartphone Identification: Description and Analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
In recent years, the field of digital imaging has made significant progress, so that today every smartphone has a built-in video camera that allows you to record high-quality video for free and without restrictions. On the ...
A deep learning based static taint analysis approach for IoT software vulnerability location
(
Elsevier B.V.
, 2020 , Article)
Computer system vulnerabilities, computer viruses, and cyber attacks are rooted in software vulnerabilities. Reducing software defects, improving software reliability and security are urgent problems in the development of ...
Toward an NLP Approach for Transforming Paper Contracts into Smart Contracts
(
Springer Science and Business Media Deutschland GmbH
, 2023 , Conference Paper)
Identifying and extracting information from contracts is an important task of contract analysis, which is mostly performed manually by lawyers and legal specialists. This manual analysis is a time-consuming, error-prone ...
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
(
Academic Press
, 2021 , Article Review)
Monitoring structural damage is extremely important for sustaining and preserving the service life of civil structures. While successful monitoring provides resolute and staunch information on the health, serviceability, ...
PRNU-Net: a Deep Learning Approach for Source Camera Model Identification based on Videos Taken with Smartphone
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Recent advances in digital imaging have meant that every smartphone has a video camera that can record high-quality video for free and without restrictions. In addition, rapidly developing Internet technology has contributed ...
Enquiry-based learning workshop for deep learning in Middle Eastern classrooms?an action research approach
(
Routledge
, 2018 , Article)
The senior year design students and I were dismayed when my linear teaching and their habitual rote learning failed in a Middle Eastern University. The gulf between the curricular objectives and our teaching-learning methods ...