Computer Science & Engineering: Recent submissions
Now showing items 521-540 of 2427
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Using Context Specific Generative Adversarial Networks for Audio Data Completion
( IEEE Explore , 2023 , Conference)Audio quality plays an essential role in several applications ranging from music to voice conversations. Sound information is subject to quality loss caused by reasons such as intermittent network connections, or storage ... -
Detection of challenging behaviours of children with autism using wearable sensors during interactions with social robots
( IEEE Explore , 2021 , Conference)Autism spectrum disorder is a neurodevelopmental disorder that is characterized by patterns of behaviours and difficulties with social communication and interaction. Children on the spectrum exhibit atypical, restricted, ... -
Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors in Social Robot Interactions
( MDPI , 2023 , Article)Children with autism face challenges in various skills (e.g., communication and social) and they exhibit challenging behaviours. These challenging behaviours represent a challenge to their families, therapists, and caregivers, ... -
A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound
( MDPI , 2023 , Article)Transcranial doppler (TCD) ultrasound is a non-invasive imaging technique that can be used for continuous monitoring of blood flow in the brain through the major cerebral arteries by calculating the cerebral blood flow ... -
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
( MDPI , 2023 , Article Review)The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both ... -
Optimized Resource and Deep Learning Model Allocation in O-RAN Architecture
( IEEE Computer Society , 2023 , Conference)In the era of 5G and beyond, telecommunication networks tend to move Radio Access Network (RAN) from centralized architecture to a more distributed architecture for greater interoperability and flexibility. Open RAN (O-RAN) ... -
DDPG Performance in THz Communications over Cascaded RISs: A Machine Learning Solution to the Over-Determined System
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)THz technology is considered a key element in 6G wireless communication because it provides ultra-high bandwidths, considerable capacities, and significant gains. However, wireless systems operating at high frequencies are ... -
Exploiting Spatial Correlations: Group Key Generation for Secure IoT Device Networks
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)With the exponential growth in IoT devices, especially in healthcare systems, where multiple devices are attributed to one person, the need for a secure and effective group secret key (GSK) generation is intrinsic. GSKs ... -
Blockchain for the Internet of Vehicles: How to Use Blockchain to Secure Vehicle-to-Everything (V2X) Communication and Payment?
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)As the Internet of Things (IoT) is evolving, one of its rapidly developing components is the transformation of standard Vehicle Ad-hoc Networks (VANETs) into the Internet of Vehicles (IoV). Due to the exceptional progress ... -
Federated Learning over Energy Harvesting Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In this article, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base stations (BSs) employs massive multiple-input-multiple-output (MIMO) to serve a set of ... -
Factors Affecting Student Satisfaction Towards Online Teaching: A Machine Learning Approach
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference)During the outbreak of the Covid-19 pandemic, universities were forced to adopt technology and collaboration tools to reinforce online teaching and sustain their operations. This radical change pushes universities, ... -
Gravitational weighted fuzzy c-means with application on multispectral image segmentation
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)This paper presents a novel clustering approach based on the classic Fuzzy c-means algorithm. The approach is inspired from the concept of interaction between objects in physics. Each data point is regarded as a particle. ... -
Cluster validity index based on n-sphere
( IEEE , 2014 , Conference)In this paper, we propose a new cluster validity index (CVI) based on geometrical shape. Classic CVIs are based on a combination of separation and compactness measures and may include a measure of overlap between clusters. ... -
Vector anisotropic filter for multispectral image denoising
( SPIE , 2015 , Conference)In this paper, we propose an approach to extend the application of anisotropic Gaussian filtering for multi- spectral image denoising. We study the case of images corrupted with additive Gaussian noise and use sparse matrix ... -
A FCM and SURF based algorithm for segmentation of multispectral face images
( IEEE , 2013 , Conference)In this paper, we propose a novel clustering algorithm based on Fuzzy C-Means (FCM) and Speeded-Up Robust Feature (SURF) for multispectral image segmentation. In the experiments, color images and multispectral images from ... -
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Remote monitoring systems analyze the environment dynamics in different smart industrial applications, such as occupational health and safety, and environmental monitoring. Specifically, in industrial Internet of Things ... -
Dairy Cow Rumination Detection: A Deep Learning Approach
( Springer Science and Business Media Deutschland GmbH , 2020 , Conference)Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination ... -
LIME: Long-Term Forecasting Model for Desalination Membrane Fouling to Estimate the Remaining Useful Life of Membrane
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference)Membrane fouling is one of the major problems in desalination processes as it can cause a severe drop in the quality and quantity of the permeate water. This paper presents a data-driven approach for long-term forecasting ... -
User Scheduling in Federated Learning over Energy Harvesting Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)In this paper, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base station (BS) is equipped with a massive multiple-input multiple-output (MIMO) system and ... -
Generating haptic texture using solid noise
( Elsevier B.V. , 2021 , Article)Texture enhances haptic interaction by providing unique, distinguishable, and versatile surfaces. In computer haptics, texture can render environments more realistic and provide useful information. In this paper, an algorithm ...
