Purpose Collision avoidance is considered as a crucial issue in mobile robotic navigation to guarantee the safety of robots as well as working surroundings, especially for humans. Therefore, the position and velocity of obstacles appearing in the working space of the self-driving mobile robot...

Recent years have witnessed a growing recognition on the community detection in networks. Diverse techniques have been devoted to uncovering community structures in complex networks and amongst which are the density-based methods. Density-based avenues are very popular in data clustering field....

Data in practical applications (e.g., images, molecular biology, etc) is mostly characterised by high dimensionality and huge size or number of data instances. Though, feature reduction techniques have been successful in reducing the dimensionality for certain applications, dealing with high...

Purpose – This paper aims to detect abnormal energy uses which relate to undetected consumption, thefts, measurement errors, etc. The detection of irregular power consumption, with variation in irregularities, helps the electric utilities in planning and making strategies to transfer reliable...

Demand forecasting is an important issue in the supply chain planning process due to its usage for efficiently managing different planning tasks. The common techniques adopted to perform such task are easy to use forecasting methods performed in computerised systems with minimum human...