Path planning has applications in many areas, for example, industrial robotics, autonomous systems, virtual prototyping, and computer-aided drug design. Much research has been done on path planning especially in the robotic ...

The traditional ways of candidate selection and recruitment are prone to subjectivity, imprecision and vagueness. With a view to achieving objective and precise selection and recruitment while keeping up with technological ...

Information is found of great importance in today’s world. This has greatly increased in the health domain which makes patients with one problem or the other seek solutions to their ailing health (problems) on the internet. ...

The throughput and signal strength of a telecommunication system depends largely on effective installation of communication infrastructure especially the telecommunication mast so as to boost and support wider population. ...

People in every walk of life have need for good recommendations to aid them in decision making hence the need for computer-based recommender systems which are developed to make up for human inadequacies and solve the ...

Discovering interesting patterns within symptoms of diabetes mellitus data remains a major data mining application. This paper presents an association rule based approach towards detecting anomalies in diabetes mellitus ...

The emergence of mobile commerce has created new financial needs that in many cases cannot be effectively fulfilled by the traditional payment systems. In mobile payments, the core is authentication, which is a critical ...

The Traffic congestion in the urban area happens to occur more frequently than it does in the past due to higher rate of road vehicle users. The traditional traffic light system makes use of a predefined timer which is ...

Cloud computing is Internet based computing where virtual shared servers provide software, infrastructure, platform, devices and other resources and hosting to customers on a pay-as- you use basis. Cloud computing is ...

The continual release of new network attack patterns, and the increasing complexities of these attacks have craved for a secured network. In recent times, machine learning-based intrusion detection systems (ML-IDS) have ...