The use of malicious software (malware) as an instrument for carrying out different criminal activities both organised and non-organised have become the major threat faced by today’s world of connectivity. Frequency 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, ...

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 ...

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 ...

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 ...

Recent breakthrough in mobile technology, wireless communication and sensing ability of smart devices promote the ease to detect real-world learning status of students as well as the context aware for learning. Targeted ...

Cyber threats are currently on the rise, which has caused individuals, industrial control systems (ICSs), critical infrastructures (CIs), and nations to be subjected to attacks with great losses. Among the cyber threats ...

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 ...

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 ...

Recommender systems are web-based platforms or software that use various machine learning methods to propose useful items to users. Several techniques have been used to develop such a system for generating a list of ...

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 ...

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 ...

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, ...

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 ...

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 ...

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 ...

Text analysis is a branch of data mining that deals with text documents. This project brings to light the classification of texts into their various categories. The structured and unstructured data seems to on a high rise ...

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 ...

Taking Nigeria as a case study, most educational institutions, be it at the primary, secondary or tertiary level are faced with the challenge of over population of student’s in a single classroom. Also, the teacher who ...

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 ...