Low-frequency data extrapolation using a feed-forward ANN
Here, we explore the feasibility of frequency-bandwidth extrapolation using an Artificial Neural Network (ANN) approach. The ANN is trained to be a non-linear operator that maps high …
Artificial intelligence-driven risk management for enhancing ...
Dive into the research topics of 'Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis'.
A Novel Hybrid Approach for Power Quality Improvement in a ...
This research study explores the use of a droop-ANN model to improve power quality in vehicle-to-grid (V2G) systems. The proposed approach integrates an artificial neural network (ANN) …
Ann Makosinski and the power of STEAM - kaust.edu.sa
Nov 2, 2017 · Ann Makosinski, a young Canadian inventor, has captured the attention of Google, Forbes (30 Under 30) and Time Magazine for ingeniously harvesting human thermal energy to …
Rufaidah Al Dabbagh , MBBS, MPH, DrPH | Faculty members
She has a bachelor's degree in medicine and surgery from King Saud University, and conducted her Master of Public Health (MPH) training at University of Michigan, Ann Arbor, where she …
التقرير السنوي لعام 2024 - Vision 2030
تقترب رؤية السعودية 2030 في عامها التاسع منذ إطلاقها وهي تقترب من الوصول إلى أهدافها الاستراتيجية، أكثر من أي وقت مضى؛ حيث يزدهر الاقتصاد ويتنوع، في مجتمع حيوي، ووطن طموحه عنان السماء. وقد استندت الرؤية في رحلتها على ...
Understanding the impact of knowledge management factors on ...
Contrary to the prior literature that mainly relied on structural equation modeling (SEM) techniques, the empirical data were analyzed using a hybrid SEM-artificial neural network …