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Now showing items 21-30 of 31
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 ...
Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Deployment of Network Function Virtualization (NFV) over multiple clouds accentuates its advantages like flexibility of virtualization, proximity to customers and lower total cost of operation. However, NFV over multiple ...
DLRT: Deep learning approach for reliable diabetic treatment
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Diabetic therapy or insulin treatment enables patients to control the blood glucose level. Today, instead of physically utilizing syringes for infusing insulin, a patient can utilize a gadget, for example, a Wireless Insulin ...
EEG-based Analysis Study for Patients Receiving Intravenous Antibiotic Medication
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In this paper, we conduct a biological data collection and analysis study for patients undergoing routine planned intravenous antibiotic treatment. The acquired data (i.e., Electroencephalogram (EEG), temperature and blood ...
Attention-Based Model for Accurate Stance Detection
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Effective representation learning is an essential building block for achieving many natural language processing tasks such as stance detection as performed implicitly by humans. Stance detection can assist in understanding ...
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 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 ...
Convolutional Autoencoder Approach for EEG Compression and Reconstruction in m-Health Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In the last few years, the number of patients with chronic diseases requiring constant monitoring increased rapidly, which motivates researchers to develop scalable remote health applications. Nevertheless, the amount of ...
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the emergence of smart cities, Internet of Things (IoT) devices as well as deep learning technologies have witnessed an increasing adoption. To support the requirements of such paradigm in terms of memory and computation, ...
CNN Features vs Classical Features for Largescale Cultural Image Retrieval
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Modern applications for cultural content enrichment and management require low delay image retrieval methods in large databases. Classical image retrieval methods are suitable for certain applications but are also known ...