Computer Science & Engineering: Recent submissions
Now showing items 501-520 of 2402
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Optimized Resource and Deep Learning Model Allocation in O-RAN Architecture
( IEEE Computer Society , 2023 , Conference Paper)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 Paper)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 ... -
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 ... -
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 Paper)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 Paper)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 ... -
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 Paper)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, ... -
Dairy Cow Rumination Detection: A Deep Learning Approach
( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)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 ... -
Gravitational weighted fuzzy c-means with application on multispectral image segmentation
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)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 Paper)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 Paper)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 Paper)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 ... -
Design of immersive virtual reality system to improve communication skills in individuals with autism
( Kassel University Press GmbH , 2017 , Article)Individuals with autism spectrum disorder (ASD) regularly experience situations in which they need to give answers but do not know how to respond; for example, questions related to everyday life activities that are asked ... -
Immersive virtual reality in improving communication skills in children with Autism
( International Association of Online Engineering , 2017 , Article)Individuals in the Autism Spectrum often encounter situations where they have to respond to questions and situations that they do not know how to respond to, such as, questions asked by strangers including ones related to ... -
A study on the design and effectiveness of tactile feedback in sriving simulator
( IEEE Computer Society , 2014 , Conference Paper)Driving simulations are widely used to send navigational and warning information to help drivers navigate safely. The traditional approaches are to use visual and auditory channels which can cause sensory overloading. ... -
Incorporating haptic and olfactory into surgical simulation
( IEEE Computer Society , 2013 , Conference Paper)Recently, surgical simulation is a widely used method to train surgeons on specific surgeries due to the fact that it helps reducing surgical errors. Available surgical simulations lack realism since they only incorporate ... -
Incorporating olfactory into a multi-modal surgical simulation
( Maruzen Co., Ltd. , 2014 , Article)This paper proposes a novel multimodal interactive surgical simulator that incorporates haptic, olfactory, as well as traditional vision feedback. A scent diffuser was developed to produce odors when errors occur. Haptic ... -
Spiroraslaser: An interactive visual art system using hybrid raster-laser projection
( Inderscience Publishers , 2011 , Article)This paper explores the possibility of generating visual imagery in a highly interactive environment on the basis of hand position and acceleration. We present a new display method called hybrid raster-laser projection for ...
