Browsing Computer Science & Engineering by Title
Now showing items 657-676 of 2202
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Deciding Your Own Anonymity: User-Oriented Node Selection in I2P
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)With the development of Internet applications, anonymous communication technology plays a very significant role in protecting personal privacy. As one of the most popular anonymous communication systems, I2P provides strong ... -
Deep CNN-Based real-time traffic light detector for self-driving vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation systems, Traffic Light Detection (TLD) is still considered an important module in autonomous vehicles and Driver Assistance ... -
Deep Federated Learning for IoT-based Decentralized Healthcare Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Recent trends in the healthcare industry, such as the use of wearable IoT for continuous health monitoring, are setting new requirements for healthcare systems that boost data analysis. These systems should support ... -
Deep learning and cultural heritage: The CEPROQHA project case study
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Cultural heritage takes an important part of the history of humankind as it is one of the most powerful tools for the transfer and preservation of moral identity. As a result, these cultural assets are considered highly ... -
Deep learning and low rank dictionary model for mHealth data classification
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ... -
Deep learning approach for EEG compression in mHealth system
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The emergence of mobile health (mHealth) systems has risen the challenges and concerns due to the sensitivity of the data involved in such systems. It is essential to ensure that these data are well delivered to the health ... -
A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)© 2013 IEEE. Due to the increasing number of chronic disease patients, continuous health monitoring has become the top priority for health-care providers and has posed a major stimulus for the development of scalable and ... -
Deep learning based identification of DDoS attacks in industrial application
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Denial of Service (DoS) attacks are very common type of computer attack in the world of internet today. Automatically detecting such type of DDoS attack packets dropping them before passing through is the best prevention ... -
A deep learning based static taint analysis approach for IoT software vulnerability location
( Elsevier B.V. , 2020 , Article)Computer system vulnerabilities, computer viruses, and cyber attacks are rooted in software vulnerabilities. Reducing software defects, improving software reliability and security are urgent problems in the development of ... -
Deep learning for crop yield prediction: a systematic literature review
( Taylor and Francis Ltd. , 2022 , Article Review)Deep Learning has been applied for the crop yield prediction problem, however, there is a lack of systematic analysis of the studies. Therefore, this study aims to provide an overview of the state-of-the-art application ... -
Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the last few years. The fact that these drones are highly accessible to public may bring a range of security and technical issues to ... -
Deep learning in classifying sleep stages
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a deep feed-forward neural network classifier to automatically classify the stages of sleep using raw data taken from a single electropalatogram channel (Fpz-Cz). No features are extracted at all from ... -
Deep learning models for sentiment analysis in arabic
( Association for Computational Linguistics (ACL) , 2015 , Conference Paper)In this paper, deep learning framework is proposed for text sentiment classification in Arabic. Four different architectures are explored. Three are based on Deep Belief Networks and Deep Auto Encoders, where the input ... -
A deep learning-based approach for fault diagnosis of current-carrying ring in catenary system
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)In the Industrial Internet of Things, the deep learning-based methods are used to help solve various problems. The current-carrying ring as one of important components on the catenary system which is always small in the ... -
Deep Learning-Based Defect Prediction for Mobile Applications
( MDPI , 2022 , Article)Smartphones have enabled the widespread use of mobile applications. However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience. To avoid this, the defects ... -
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 ... -
Deep learning-based multi-task prediction system for plant disease and species detection
( Elsevier , 2022 , Article)The manual prediction of plant species and plant diseases is expensive, time-consuming, and requires expertise that is not always available. Automated approaches, including machine learning and deep learning, are increasingly ... -
Deep neural network-aided Gaussian message passing detection for ultra-reliable low-latency communications
( Elsevier B.V. , 2019 , Article)Ultra-reliable low-latency communications (URLLC) is a key technology in 5G supporting real-time multimedia services, which requires a low-cost signal recovery technology in the physical layer. A kind of well-known ... -
Deep Reinforcement Learning Algorithm for Smart Data Compression under NOMA-Uplink Protocol
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)One of the highly promising radio access strategies for enhancing performance in the next generation cellular communications is non-orthogonal multiple access (NOMA). NOMA offers a number of advantages including better ... -
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
( IEEE Computer Society , 2022 , Article)Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ...