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A Real-Time Data Stream Processing Model for a Smart City Application Leveraging Intelligent Internet of Things (IOT) Concepts
(2017-12-15)
Due to the vast amount of data that is being generated by the sensors through the smart devices in smart cities, streams of data must be processed in real time to gain insight quickly and to make decisions that are in most ...
Smart Multimedia Learning System for Automata Theory
(2017-11-25)
Education is a vital ingredient for a sustainable economy where “knowledge is power”. M- learning initiatives can lessen the digital divide in education and promote a knowledge-based economy. The high saturation of mobile ...
Generic Animation Tool for Traffic Simulation
(2016-06-23)
Traffic simulation has become one of the most used approaches for traffic analysis in support of the design and evaluation of traffic systems. Although traffic flow models have been applied for almost a century to describe, ...
Adaptive Learning Framework
(2016-05-20)
Many Institutions offer on-line courses to people from all around the world. Learning Management Systems provides a convenient learning environment for on-line courses. Each learner has individual needs and characteristics ...
Group Mutual Exclusion in Opportunistic Network
(2016-06-23)
The Opportunistic network is an interesting development in the Mobile Ad hoc Network (MANET) environment. It has no end-to-end connectivity among nodes. Unlike MANETs, the nodes in Opportunistic network are independent on ...
A Framework for Nation-Wide Integration of Biometric Information
(2017-12-12)
Having a central database for Nigeria which organizations can rely on for identification/verification purposes has been a plan in the pipeline for many years now. This has become urgent because of the nation’s current ...
A Cloud-Based C/C++ Compiler for Smart Devices
(2017-11-12)
The foundation of many of today’s programming languages is the C/C++ language, due to its success and directives that span across several programming paradigms, conceptual models and runtime environments.
Smart devices ...
Applying Deep Learning Methods for Short Text Analysis in Disease Control
(2017-12-09)
Developing countries have been plagued by recurrent cases of infectious disease outbreaks;coupled with the limitation of traditional disease control strategies, other approaches have been explored for disease control, with ...
Deep Learning for Filter Extractions
(2017-12-09)
With the exponential growth of the information technology, nowadays tremendous amounts of data including images, audio, text and videos, up to millions or billions, are collected for training machine learning models. Deep ...
A Real Time Data Stream Processing Model for a Smart City Application Leveraging Intelligent Internet of Things (Iot) Concept
(2017-12-09)
Due to the vast amount of data that is being generated by the sensors through the smart devices in smart cities, streams of data must be processed in real time to gain insight quickly and to make decisions that are in most ...