A huge amount of data is generated on daily basis. The generated data can be both structured and unstructured data. The sources from which most of the unstructured data are found are the dailies, social networks (posts ...

Advanced Persistent Threats (APTs), represent sophisticated and enduring network intrusion campaigns targeting sensitive information from targeted organizations and operating over a long period. These types of threats are ...

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 ...

Network – On – Chip (NoC) communication architecture have emerged as a solution to problem of lack of scalability, clock delay, lack of support for concurrent communication and power consumption exhibited by the shared bus ...

Internet connectivity is one of the fundamental requirements for a successful mobile learning environment. However, within the context of Africa, availability and access, let alone cost, still pose a great challenge in ...

Alternative methods of learning that will provide an avenue for students to construct knowledge independently has become the yearning of all and sundry. Computers are revolutionizing the educational institutions as well ...

A Hybrid Cloud refers to a cloud computing environment that provides pay-as-you-go services to users using the integration of public and private clouds resources. Cloud computing is one of the latest areas in the field of ...

Over the ongoing years, innovatively propelled nations have kept on joining the quest for growing completely self-sufficient driven vehicles. This Autonomous vehicles intend to address issues of driver profitability and ...

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Wireless sensor networks, thanks to recent technological advances, has become prevalent and offer a variety of applications ranging from environmental monitoring to support and automate chores fields. However, this very ...

Deep Neural Networks are now deployed for many modern artificial Intelligence applications including computer vision, speech recognition, self-driving cars, cancer detection, gaming and robotics. Inspired by the mammalian ...

The artificial intelligence (AI) domain grows every day with new algorithms and architectures. Artificial Neural Networks (ANNs), a branch of AI has become a very interesting domain since the eighties when the back-propagation ...

We propose DEVS-Driven Modeling Language (DDML), a graphical notation for DEVS [1] modeling and an Eclipse-based graphical editor, Eclipse-DDML. DDML attempts to bridge the gap between expert modelers and domain experts ...

With the increase in the possibility of incorporating multiple cores on a single chip (MCSoC), the issue of an efficient interconnection that is scalable, takes up small area and has low power consumption must be taken ...

The telecommunication industry has a lot of data related to households, individuals and devices. Advertisers pay a premium to ensure they advertise to their target audience. To ensure that content is personalized, it is ...

Recommender systems are powerful intelligent systems considered to be the solution to the problems of information overload. They provide users with personalized lists of recommended items, using some machine learning ...

Phishing is a social engineering attack that has been perpetuated for long and is still a prominent attack with an attending high number of victims. The adverse effect of this allows phishers easy access to sensitive ...

Phishing is a social engineering attack that has been perpetuated for long and is still a prominent attack with an attending high number of victims. The adverse effect of this allows phishers easy access to sensitive ...

Research in computer vision and machine learning is a significant part of research in computer science departments of many leading institutions resulting in ideas and products that have direct applications in different ...

There have been several improvement in object detection and semantic segmentation results in recent years. Baseline systems that drives these advances are Fast/Faster R-CNN, Fully Convolutional Network and recently Mask ...