There has been tremendous growth in the amount of user generated content on the Internet. This is due to rise in social networks and the embrace of web 2.0 or technologies. The Internet is no longer a place for consumption ...

Nowadays, shifts in Hardware and Software technologies have forced designers and users to look at micro-architecture that process instructions stream with high performance and low power consumption. In Striving for such ...

Recently, Massive amounts of data have been generated as a result of the frequency at which the amount of information available digitally is advancing. To enable users to effectively utilise the huge amount of information, ...

The Heart Disease according to the survey is the leading cause of death all over the world. The health sector has a lot of data, but unfortunately, these data are not well utilized. This is as a result of lack of effective ...

Energy efficiency is paramount in the quest to achieve sustainable development in the 21st century. Statistics in recent research have shown that in many sectors in any nation’s economy, which include buildings, industries ...

Energy efficiency is paramount in the quest to achieve sustainable development in the 21st century. Statistics in recent research have shown that in many sectors in any nation’s economy, which include buildings, industries ...

The application of Near Field Communication (NFC) technology in every part of the world today has tremendously improved efficiency and effectiveness regarding security. The use of this technology in the healthcare system ...

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 ...

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 ...

Sentiment Analysis is the task of classifying documents based on the sentiments expressed in textual form, this can be achieved by using lexical and semantic methods. The purpose of this study is to investigate the use of ...

Sentiment analysis has proven to be one of the most challenging tasks in natural language processing (NLP). Many AI systems have been developed which can detect the polarity of a sentence (degree of positivity, neutrality ...

DEVS models are implemented in various programming languages using various strategies. There is a scientific need to couple these models for larger simulations. Therefore there is a need for interoperability between these ...

Smart media devices such as: smartphones and tablets are getting more powerful, smarter, cheaper and hence more popular. Recommendation systems become very common in e-business and e-Commerce, for example: Amazon, Google, ...

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 ...

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 ...

Research into artificial neural networks (ANNs) is inspired by how information is dynamically and massively processed by biological neurons. Conventional ANNs research has received a wide range of applications including ...

Discrete Event System Specification (DEVS) formalism is a Modeling and Simulation (M&S) framework that provides a means of specifying systems. It separates a model from its simulator. The former describes the structure and ...

Many studies have shown that smart homes can use energy more efficiently than traditional buildings. Thus, several researchers have advocated building a smart home in order to reduce energy consumption. In the literature, ...

Many studies have shown that smart homes can use energy more efficiently than traditional buildings. Thus, several researchers have advocated building a smart home in order to reduce energy consumption. In the literature, ...

Recently, deep learning techniques have been used significantly for large scale image classification targeting wildlife prediction. This research adopted a deep convolutional neural network (CNN) and proposed a deep scalable ...