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: This article studies a multiple double-load crane scheduling problem in steel slab yards. Consideration of multiple cranes and their double-load capability makes the scheduling problem more ...

15-Feb-2023: Simple examples from vOptGeneric have been adapted for MOA 15-Feb-2023: vOptGeneric.jl is no longer under active development 15-Feb-2023: vOptGeneric.jl has been redesigned and ...

Abstract: The optimized operation of unbalanced power distribution systems with battery-integrated distributed energy resources (DERs) requires the development of efficient multi-period three-phase ...

Influence Maximization (IM) is a fundamental problem in network science with applications in viral marketing, information dissemination, cybersecurity, and epidemiology. Classical IM solvers often ...

For the C implementation on GPUs (recommended for benchmarking), please visit the following repository: $$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad & \langle c, x \rangle \\ \text{s ...

The numerical solution of partial differential equations (PDEs) is essential in computational physics. Over the past few decades, various quantum-based methods have been developed to formulate and ...

Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning ...

The ability to solve complex problems methodically and systematically is of utmost importance in the practice of Engineering. There is a growing interest in exploring potential contributions of ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

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 ...

Data-driven approaches are becoming increasingly common as problem-solving tools in many areas of science and technology. In most cases, machine learning models are the key component of these ...