The HND Electrical and Electronic Engineering course is designed to help you build a strong foundation in engineering principles. You'll combine theoretical learning with practical application, ...

Abstract: Methods-Time Measurement (MTM) is a predetermined motion time system that is used primarily in industrial settings to analyze the methods used to perform any manual operation. In this paper, ...

Abstract: Stacking the mass block (MB) is a key process in maintaining the operation of a gravity energy storage system (GESS), and the energy consumption during this process directly affects the ...

Linear algebra is central to many algorithms in engineering, science, and machine learning; hence, accelerating it would have tremendous economic impact. Quantum computing has been proposed for this ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Nowadays, frontiers among different sciences are revealed as diffuse, and as a ...

Many complex data analysis problems within and beyond the scientific domain involve discovering graphical structures and functional relationships within data. Nonlinear variance decomposition with ...

In today’s fast-paced, data-driven world, the role of a data analyst has become more crucial than ever. Organizations across industries rely on these professionals to make sense of the vast amounts of ...

Although working memory (WM) is an important factor in mathematical problem solving (MPS), it remains unclear how well WM relates to MPS. Thus, we aimed to determine this relationship by using a ...

When confronted with novel problems, problem-solvers must decide whether to copy a modeled solution or to explore their own unique solutions. While past work has established that infants can learn to ...

After 44 years, there’s finally a better way to find approximate solutions to the notoriously difficult traveling salesperson problem. When Nathan Klein started graduate school two years ago, his ...

Quantum annealing is a promising heuristic method to solve combinatorial optimization problems, and efforts to quantify performance on real-world problems provide insights into how this approach may ...