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Chapter and Conference Paper
Federated Learning with Exponentially Weighted Moving Average for Real-Time Emotion Classification
Federated learning (FL) allows to develop a powerful shared prediction model while preserving the users’ privacy by kee** the data local. In particular it is a useful framework to use resource-constrained ed...
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Chapter and Conference Paper
An Incentive Framework for Surplus Food Distribution in the Context of Smart Cities
Food donation is an absolute necessity for today’s society in order to counter the wastage of edible food. The key to this food movement is volunteer availability which aids in delivering the surplus food to a...
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Chapter and Conference Paper
Real-Time Multimodal Emotion Classification System in E-Learning Context
Emotions of learners are crucial and important in e-learning as they promote learning. To investigate the effects of emotions on improving and optimizing the outcomes of e-learning, machine learning models hav...
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Chapter and Conference Paper
Optimization of Task Allocations in Cloud to Fog Environment with Application to Intelligent Transportation Systems
Fog and Edge computing are opening up new opportunities to implement novel features of mobility, edge intelligence and end-user support. The successful implementation and deployment of Fog layers, as part of C...
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Chapter and Conference Paper
Incentive Mechanism for Mobile Crowdsensing in Spatial Information Prediction Using Machine Learning
Real-time prediction of spatial information such as road-traffic-related information has attracted much attention. Mobile crowdsensing (MCS), in which mobile user devices such as smartphones equipped with sen...
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Chapter and Conference Paper
A Framework for Allocation of IoT Devices to the Fog Service Providers in Strategic Setting
In the IoT+Fog+Cloud architecture, with the ever increasing growth of IoT devices, allocation of IoT devices to the Fog service providers will be challenging and needs to be addressed properly in both the strateg...
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Chapter and Conference Paper
Spectrum Trading in Wireless Communication for Tertiary Market
Number of devices needing wireless communication is more than ever. The main ingredient of wireless communication-the spectrum-is limited and due to the unprecedented growth of smart devices the demand for spe...
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Chapter and Conference Paper
An Evaluation of Neural Networks Performance for Job Scheduling in a Public Cloud Environment
Artificial Neural Networks (ANNs) represent a family of powerful machine learning-based techniques used to solve many real-world problems. The various applications of ANNs can be summarized into classification...
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Chapter and Conference Paper
Semantic Analysis of Social Data Streams
Social Networks Analysis has become a common trend among scholars and researchers worldwide. A great number of companies, institutions and organisations are interested in social networks data mining. Informati...
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Chapter and Conference Paper
A Comparison Study of Different Algorithms for Energy-Aware Placement of Virtual Machines
Cloud Computing services are essential to modern society. The increasing number of people and organisations using these types of services results in a higher demand in datacenters, which in turn, is raising en...
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Chapter and Conference Paper
Supporting Online/Offline Collaborative Work with WebRTC Application Migration
With the fast development of mobile computing and increasing computing capacities of mobile devices, new collaborative applications and platforms are appearing to support collaboration on the move. Indeed, now...
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Chapter and Conference Paper
A Model for Data Enrichment over IoT Streams at Edges of Internet
In this paper some issues related to the efficiency of processing IoT data are addressed through semantic data enrichment and edge computing. The aim is to cope with big data streams at various levels, from th...
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Chapter and Conference Paper
Smart Intrusion Detection with Expert Systems
Nowadays security concerns of computing devices are growing significantly. This is due to ever increasing number of devices connected to the network. In this context, optimising the performance of intrusion de...
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Chapter and Conference Paper
A Hybrid Approach for Document Analysis in Digital Forensic Domain
Our daily life is characterized by the continuous interaction with many devices and technologies, which build a digital ecosystem around each person. In this context, if, for example, it is necessary to invest...
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Chapter and Conference Paper
VM Deployment Methods for DaaS Model in Clouds
Big Data has become an enabling technology for many of the today’s innovations. Given the exponential rate at which the data is produced there is a clear necessity for scalable solutions to control the overwhe...
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Chapter and Conference Paper
Multi-level Orchestration of Cloud Services in OrCS
Orchestration is a well known topic in old web services literature. Anyway, what Orchestration means for Cloud services is not yet Clear. Services, especially at lower layers of Cloud Architecture, are complex: S...
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Chapter and Conference Paper
An Auction Framework for DaaS in Cloud Computing
Data as a Service (DaaS) is the next emerging technology in cloud computing research. Small clouds operating as a group may exploit the DaaS efficiently to perform substantial amount of work. In this paper an ...
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Chapter and Conference Paper
Endowing IoT Devices with Intelligent Services
The future of the Internet is to be found in Internet of Things (IoT) where every device communicates with others by making simple but intelligent decisions. To leverage the power of IoT, smart devices and obj...
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Chapter and Conference Paper
A Model Profile for Pattern-Based Definition and Verification of Composite Cloud Services
Scientific community is now spending more and more efforts in defining and develo** effective methodologies and technologies in order to easy design and development of Cloud solutions. In order to exploit th...
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Chapter and Conference Paper
Cloud Orchestration with ORCS and OpenStack
During the past recent years there is an increasing interests in Cloud Services Orchestration. Efficient and even optimal allocation of Cloud resources is one of the main problems on which the scientific and d...