Browsing Computer Science & Engineering by Title
Now showing items 767-786 of 2262
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Digitization and spectral analysis of Historical Manuscripts
( IEEE , 2014 , Conference Paper)Digitization is an efficient means of preserving the rare historical records led to the development of a large number of digital libraries across the world. Choice of the suitable imaging equipment, storage format, and ... -
Diminishing Returns and Deep Learning for Adaptive CPU Resource Allocation of Containers
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Containers provide a lightweight runtime environment for microservices applications while enabling better server utilization. Automatic optimal allocation of CPU pins to the containers serving specific workloads can help ... -
Direct unsupervised text line extraction from colored historical manuscript images using DCT
( Springer Verlag , 2016 , Conference Paper)Extracting lines of text from a manuscript is an important preprocessing step in many digital paleography applications. These extracted lines play a fundamental part in the identification of the author and/or age of the ... -
Directed graph-based wireless EEG sensor channel selection approach for cognitive task classification
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Wireless electroencephalogram (EEG) sensors have been successfully applied in many medical and computer brain interface classifications. A common characteristic of wireless EEG sensors is that they are low powered devices, ... -
Directional Modulation for Secure RFID in Health Systems
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Radio frequency identification (RFID) systems are gaining more attention in new frontiers of applications due to their simplicity, low size factor and low cost of deployment. One of the emerging frontiers of applications ... -
Directional Modulation for Secure RFID in Health Systems
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Radio frequency identification (RFID) systems are gaining more attention in new frontiers of applications due to their simplicity, low size factor and low cost of deployment. One of the emerging frontiers of applications ... -
Disaster and Pandemic Management Using Machine Learning: A Survey
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Other)This article provides a literature review of state-of-the-art machine learning (ML) algorithms for disaster and pandemic management. Most nations are concerned about disasters and pandemics, which, in general, are highly ... -
Discovering influential users in micro-blog marketing with influence maximization mechanism
(2012 , Conference Paper)Micro-blog marketing has become a main business model for social networks nowadays. On social networking sites (e.g., Twitter), micro-blog marketing enables the advertisers to put ads to attract customers to buy their ... -
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, ... -
Distributed algorithms in wireless sensor networks: An approach for applying binary consensus in a real testbed
( Elsevier , 2015 , Article)In this work, we realize the binary consensus algorithm for use in wireless sensor networks. Binary consensus is used to allow a collection of distributed entities to reach consensus regarding the answer to a binary question ... -
Distributed binary consensus algorithm and wireless sensor network
( IEEE , 2013 , Conference Paper)We consider the design and implementation of the binary consensus algorithm in wireless sensor networks (WSN) under real life environment. This algorithm is applied for the evaluation of a consensus of a measured values ... -
Distributed binary consensus algorithm in wireless sensor networks with faulty nodes
( IEEE , 2013 , Conference Paper)In sensor networks, consensus is a procedure to enhance the local measurements of the sensors with those of the surrounding nodes, and leads to a final agreement about a common value. The question here is how we can achieve ... -
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems ... -
Distributed computing and artificial intelligence, 12th international conference
( Springer , 2015 , Conference Paper)The 12th International Symposium on Distributed Computing and Artificial Intelligence 2015 (DCAI 2015) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ... -
Distributed cooperative q-learning for power allocation in cognitive femtocell networks
( IEEE , 2012 , Conference Paper)In this paper, we propose a distributed reinforcement learning (RL) technique called distributed power control using Q-learning (DPC-Q) to manage the interference caused by the femtocells on macro-users in the downlink. ... -
Distributed cross-layer optimization for healthcare monitoring applications
( IEEE Computer Society , 2014 , Conference Paper)Mobile Health (mHealth) systems leverage wireless and mobile communication technologies to provide healthcare stakeholders with innovative tools and solutions that can revolutionize healthcare provisioning. Body Area Sensor ... -
A Distributed Deep Learning System for Web Attack Detection on Edge Devices
( IEEE Computer Society , 2020 , Article)With the development of Internet of Things (IoT) and cloud technologies, numerous IoT devices and sensors transmit huge amounts of data to cloud data centers for further processing. While providing us considerable convenience, ... -
Distributed dynamic spectrum access with adaptive power allocation: Energy efficiency and cross-layer awareness
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper proposes energy and cross-layer aware resource allocation techniques that allow dynamic spectrum access users, by means of learning algorithms, to locate and exploit unused spectrum opportunities effectively. ... -
Distributed fair spectrum assignment for large-scale wireless DSA networks
( Springer Verlag , 2015 , Conference Paper)This paper proposes a distributed and fair resource allocation scheme for large-scale wireless dynamic spectrum access networks based on particle filtering theory. We introduce a proportionally fair global objective function ... -
A Distributed Framework for Energy Trading between UAVs and Charging Stations for Critical Applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Use of Unmanned Aerial Vehicles (UAVs) is rapidly increasing in various domains such as disaster management, delivery of goods, surveillance, military, etc. Significant issues in the expansion of UAV-based applications are ...
