Computer Science & Engineering: Recent submissions
Now showing items 601-620 of 2427
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Energy-Harvesting Based Jammer Localization: A Battery-Free Approach in Wireless Sensor Networks
( IEEE , 2022 , Conference)Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. Most of these technologies are vulnerable to jamming attacks. Jamming attacks are among the most effective ... -
MMRL: A Multi-Modal Reinforcement Learning Technique for Energy-efficient Medical IoT Systems
( IEEE , 2021 , Conference)The Internet of Medical Things (IoMT) couples the rapid growth of Internet of things (IoT) technologies with smart health systems, leveraging wireless battery-operated devices for remote health monitoring. Since 2019, a ... -
AirEye: UAV-Based Intelligent DRL Mobile Target Visitation
( IEEE , 2022 , Conference)From traffic monitoring to livestock tracking, and military reconnaissance to marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time to visit ... -
Incentive-based Resource Allocation for Mobile Edge Learning
( IEEE , 2022 , Conference)Mobile Edge Learning (MEL) is a learning paradigm that facilitates training of Machine Learning (ML) models over resource-constrained edge devices. MEL consists of an orchestrator, which represents the model owner of the ... -
AirEye: UAV-Based Intelligent DRL Mobile Target Visitation
(2022 , Conference)From traffic monitoring to livestock tracking, and military reconnaissance to marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time to visit ... -
Jammer Localization in the Internet of Vehicles: Scenarios, Experiments, and Evaluation
( ACM Digital Library , 2022 , Conference)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)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 ... -
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., ... -
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 ... -
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 ... -
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 ... -
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 ... -
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)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 ... -
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ... -
Towards model-based management of database fragmentation
( USENIX Association , 2013 , Conference)The performance of a database can significantly deteriorate due to the fragmentation of data/index files. Manual database defragmentation and performance optimization remain time consuming and even infeasible as it requires ... -
Cyber LOPA: An Integrated Approach for the Design of Dependable and Secure Cyber-Physical Systems
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Safety risk assessment is an essential process to ensure a dependable cyber-physical system (CPS) design. Traditional risk assessment considers only physical failures. For modern CPSs, failures caused by cyber attacks are ...
