Computer Science & Engineering: Recent submissions
Now showing items 581-600 of 2402
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Jammer Localization in the Internet of Vehicles: Scenarios, Experiments, and Evaluation
( ACM Digital Library , 2022 , Conference Paper)The Internet of Vehicles (IoV) paradigm aims to improve road safety and provide a comfortable driving experience for Internet-connected vehicles, by transmitting early warning and infotainment signals to Internet-connected ... -
Jamming Detection in IoT Wireless Networks: An Edge-AI Based Approach
( ACM Digital Library , 2022 , Conference Paper)Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. In the era of 5G and beyond, more technologies will be allowed to connect to mobile networks, enabling the Internet ... -
RL-Based Federated Learning Framework Over Blockchain (RL-FL-BC)
( IEEE , 2023 , Article)Federated learning (FL) paradigms aim to amalgamate diverse data properties stored locally at each user, while preserving data privacy through sharing users’ learning experiences and iteratively aggregating their ... -
Video transcoding at the edge: cost and feasibility perspective
( Springer Nature , 2023 , Article)The developments in smartphones, high data rates, and substantial video data traffic have increased the burden on cellular networks. Consequently, this burden significantly affects the Quality of Experience of the cellular ... -
Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks
( IEEE , 2023 , Article)The vision of the upcoming 6G technologies, characterized by ultra-dense networks, low latency, and fast data rate, is to support pervasive artificial intelligence (PAI) using zero touch solutions enabling self-X (e.g., ... -
Face Mask Detection in Smart Cities Using Deep and Transfer Learning: Lessons Learned from the COVID-19 Pandemic
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does not look to be ending soon for most countries across the world. To slow the spread of the COVID-19 virus, several measures have been ... -
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
( Elsevier , 2022 , Article)Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ... -
Analysis of customers' satisfaction with baby products: The moderating role of brand image
( Elsevier , 2023 , Article)The previous experience of customers is assessed by textual reviews and ratings to reflect their levels of satisfaction with the service or product. Online reviews and ratings have played a vital role to assess the performance ... -
AI-based UAV navigation framework with digital twin technology for mobile target visitation
( Elsevier , 2023 , Article)Unmanned Air Vehicles (UAVs), i.e. drones, have become a key enabler technology of many reconnaissance applications in different fields, such as military, maritime, and transportation. UAVs offer several benefits, such as ... -
Dental caries detection using a semi-supervised learning approach
( Nature Research , 2023 , Article)Early diagnosis of dental caries progression can prevent invasive treatment and enable preventive treatment. In this regard, dental radiography is a widely used tool to capture dental visuals that are used for the detection ... -
Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound
( Elsevier , 2023 , Article)Since the brain is unlike any other organ in that it cannot store energy and has a high metabolic demand, constant blood flow is essential for healthy brain function. The maximum flow velocity waveform that is produced by ... -
A New Deep Learning Method for Accurate Cardiac Heart Failure Prediction from RR Interval Measurements
( IEEE , 2022 , Conference Paper)cardiovascular diseases are the major cause of death worldwide. Early detection of heart failure will assist patients and medical professionals in taking better precautions to reduce risks. The objective of this study is ... -
Game Theoretical Model for Cybersecurity Risk Assessment of Industrial Control Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Supervisory Control and Data Acquisition (SCADA) and Distributed Control Systems (DCS) use advanced computing, sensors, control systems, and communication networks to monitor and control industrial processes and distributed ... -
Multiview topological data analysis for crowdsourced service supply-demand gap prediction
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)The widespread of smart devices equipped with high sensing capabilities opened the door to the new paradigm of mobile crowdsourcing. This paradigm relies on the crowd contribution and participation to collect data and ... -
A Modified Layer of Protection Analysis for Cyber-Physical Systems Security
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Layer of Protection Analysis (LOPA) is the most commonly used approach for quantitative safety risk assessment in the process control industry to protect a Cyber- Physical System (CPS) from accidental hazards-causing ... -
Practical and secure outsourcing of matrix computations to the cloud
( IEEE , 2013 , Conference Paper)Cloud computing enables a cost effective outsourcing of storage and resource-intensive computations. Secure outsourcing of data and computation is challenging in this emerging computing model. In particular, outsourcing ... -
Semantics-based approach for dynamic evolution of trust negotiation protocols in cloud collaboration
( Springer Verlag , 2014 , Conference Paper)Many techniques for addressing trust negotiation issues is little concerned with managing the dynamic evolution of trust negotiation protocols (policies), particularly in cases where there exist ongoing negotiations when ... -
A finite context intrusion prediction model for cloud systems with a probabilistic suffix tree
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)The success of the cloud computing paradigm depends on how effectively the cloud infrastructures will be able to instantiate and dynamically maintain computing platforms that meet Quality of Service (QoS) requirements. ... -
Probabilistic qualitative preference matching in long-term IaaS composition
( Springer Verlag , 2017 , Conference Paper)We propose a qualitative similarity measure approach to select an optimal set of probabilistic Infrastructure-as-a-Service (IaaS) requests according to the provider's probabilistic preferences over a long-term period. The ... -
A distributed control approach for autonomic performance management in cloud computing environment
( IEEE Computer Society , 2013 , Conference Paper)In this paper, a distributed control based performance management approach is developed for a general class of web services deployed in a cloud computing environment. This approach is developed using interaction balance ...
