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11/03/2022
Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images
Magnetic Resonance Imaging (MRI) is the most commonly used non-intrusive...
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10/28/2022
Link Climate: An Interoperable Knowledge Graph Platform for Climate Data
Climate science has become more ambitious in recent years as global awar...
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08/18/2022
A semantic web approach to uplift decentralized household energy data
In a decentralized household energy system comprised of various devices ...
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06/14/2022
Frequency-centroid features for word recognition of non-native English speakers
The objective of this work is to investigate complementary features whic...
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06/07/2022
Analyzing the impact of feature selection on the accuracy of heart disease prediction
Heart Disease has become one of the most serious diseases that has a sig...
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05/03/2022
An Explore of Virtual Reality for Awareness of the Climate Change Crisis: A Simulation of Sea Level Rise
Virtual Reality (VR) technology has been shown to achieve remarkable res...
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04/13/2022
DMCNet: Diversified Model Combination Network for Understanding Engagement from Video Screengrabs
Engagement is an essential indicator of the Quality-of-Learning Experien...
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03/01/2022
A predictive analytics approach for stroke prediction using machine learning and neural networks
The negative impact of stroke in society has led to concerted efforts to...
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10/21/2021
Day-ahead Forecasts of Air Temperature
Air temperature is an essential factor that directly impacts the weather...
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10/21/2021
Automated Climate Analyses Using Knowledge Graph
The FAIR (Findable, Accessible, Interoperable, Reusable) data principles...
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10/19/2021
An Interoperable Open Data Portal for Climate Analysis
This work proposes an open interoperable data portal that offers access ...
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10/19/2021
Detecting Blurred Ground-based Sky/Cloud Images
Ground-based whole sky imagers (WSIs) are being used by researchers in v...
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10/19/2021
Identifying Stroke Indicators Using Rough Sets
Stroke is widely considered as the second most common cause of mortality...
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10/18/2021
Graph-based Local Climate Classification in Iran
In this paper, we introduce a novel graph-based method to classify the r...
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10/18/2021
Analysis of French Phonetic Idiosyncrasies for Accent Recognition
Speech recognition systems have made tremendous progress since the last ...
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08/03/2021
Ontology Modeling for Decentralized Household Energy Systems
In a decentralized household energy system consisting of various devices...
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08/03/2021
Impact of Load Demand Dataset Characteristics on Clustering Validation Indices
With the inclusion of smart meters, electricity load consumption data ca...
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06/06/2021
An Ontology Model for Climatic Data Analysis
Recently ontologies have been exploited in a wide range of research area...
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06/06/2021
Using GANs to Augment Data for Cloud Image Segmentation Task
While cloud/sky image segmentation has extensive real-world applications...
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05/23/2021
Stereo Matching Based on Visual Sensitive Information
The area of computer vision is one of the most discussed topics amongst ...
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05/18/2021
3D Displays: Their Evolution, Inherent Challenges Future Perspectives
The popularity of 3D displays has risen drastically over the past few de...
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05/17/2021
A Clustering Framework for Residential Electric Demand Profiles
The availability of residential electric demand profiles data, enabled b...
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08/13/2020
Detecting Abnormal Traffic in Large-Scale Networks
With the rapid technological advancements, organizations need to rapidly...
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06/26/2020
An Advert Creation System for 3D Product Placements
Over the past decade, the evolution of video-sharing platforms has attra...
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06/24/2020
DDoSNet: A Deep-Learning Model for Detecting Network Attacks
Software-Defined Networking (SDN) is an emerging paradigm, which evolved...
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12/16/2019
Subjective Quality Assessment of Ground-based Camera Images
Image quality assessment is critical to control and maintain the perceiv...
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10/11/2019
Estimating Solar Irradiance Using Sky Imagers
Ground-based whole sky cameras are extensively used for localized monito...
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10/08/2019
Identifying Candidate Spaces for Advert Implantation
Virtual advertising is an important and promising feature in the area of...
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10/02/2019
Machine-Learning Techniques for Detecting Attacks in SDN
With the advent of Software Defined Networks (SDNs), there has been a ra...
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07/05/2019
Interlinking Heterogeneous Data for Smart Energy Systems
Smart energy systems in general, and solar energy analysis in particular...
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05/06/2019
Localizing Adverts in Outdoor Scenes
Online videos have witnessed an unprecedented growth over the last decad...
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04/25/2019
Predicting Stroke from Electronic Health Records
Studies have identified various risk factors associated with the onset o...
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04/16/2019
CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation
We analyze clouds in the earth's atmosphere using ground-based sky camer...
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04/16/2019
The ALOS Dataset for Advert Localization in Outdoor Scenes
The rapid increase in the number of online videos provides the marketing...
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03/21/2019
The CASE Dataset of Candidate Spaces for Advert Implantation
With the advent of faster internet services and growth of multimedia con...
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03/15/2019
Multi-label Cloud Segmentation Using a Deep Network
Different empirical models have been developed for cloud detection. Ther...
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12/22/2018
TEST: A Terminology Extraction System for Technology Related Terms
Tracking developments in the highly dynamic data-technology landscape ar...
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11/09/2018
ADNet: A Deep Network for Detecting Adverts
Online video advertising gives content providers the ability to deliver ...
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08/01/2018
An Advert Creation System for Next-Gen Publicity
With the rapid proliferation of multimedia data in the internet, there h...
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07/16/2018
Solar Irradiance Forecasting Using Triple Exponential Smoothing
Owing to the growing concern of global warming and over-dependence on fo...
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04/19/2018
Analyzing Solar Irradiance Variation From GPS and Cameras
The total amount of solar irradiance falling on the earth's surface is a...
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03/02/2018
High-Dynamic-Range Imaging for Cloud Segmentation
Sky/cloud images obtained from ground-based sky-cameras are usually capt...
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08/24/2017
Correlating Satellite Cloud Cover with Sky Cameras
The role of clouds is manifold in understanding the various events in th...
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08/24/2017
Study of Clear Sky Models for Singapore
The estimation of total solar irradiance falling on the earth's surface ...
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08/24/2017
Analyzing Cloud Optical Properties Using Sky Cameras
Clouds play a significant role in the fluctuation of solar radiation rec...
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05/30/2017
Nighttime sky/cloud image segmentation
Imaging the atmosphere using ground-based sky cameras is a popular appro...
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03/15/2017
Cloud Radiative Effect Study Using Sky Camera
The analysis of clouds in the earth's atmosphere is important for a vari...
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01/17/2017
Systematic study of color spaces and components for the segmentation of sky/cloud images
Sky/cloud imaging using ground-based Whole Sky Imagers (WSI) is a cost-e...
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11/03/2016
Rough Set Based Color Channel Selection
Color channel selection is essential for accurate segmentation of sky an...
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10/21/2016
