Until recently, the potential to transfer evolved skills across distinct optimization problem instances (or tasks) was seldom explored in evolutionary computation. The concept of evolutionary multitasking (EMT) fills this gap. It unlocks a population’s implicit parallelism jointly solve set tas...

Huge amounts of data are circulating in the digital world era Industry 5.0 revolution. Machine learning is experiencing success several sectors such as intelligent control, decision making, speech recognition, natural language processing, computer graphics, and vision, despite requirement to analyze interpret data. Due their amazing performance, Deep Learning Techniques have recently become ext...

Fairness emerged as an important requirement to guarantee that Machine Learning (ML) predictive systems do not discriminate against specific individuals or entire sub-populations, in particular, minorities. Given the inherent subjectivity of viewing concept fairness, several notions fairness have been introduced literature. This paper is a survey illustrates subtleties between through large num...

Known for their lower costs and numerous applications, cable robots are an attractive research field in robotic community. However, considering the fact that they require an accurate installation procedure and calibration routine, they have not yet found their true place in real-world applications. This paper aims to propose a new controller strategy that requires no meticulous calibration and ...

Novel concepts enabling a resilient future power system and their subsequent experimental evaluation are experiencing steadily growing challenge: large scale complexity questionable scalability. The requirements on research infrastructure (RI) to cope with the trends of such dynamic therefore grow in size, diversity costs, making feasibility rigorous advancements by single RI. Analysis has been...