[HTML][HTML] Smarter sustainable tourism: data-driven multi-perspective parameter discovery for autonomous design and operations

R Alsahafi, A Alzahrani, R Mehmood - Sustainability, 2023 - mdpi.com
Global natural and manmade events are exposing the fragility of the tourism industry and its
impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3 …

[HTML][HTML] Data locality in high performance computing, big data, and converged systems: An analysis of the cutting edge and a future system architecture

S Usman, R Mehmood, I Katib, A Albeshri - Electronics, 2022 - mdpi.com
Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …

[HTML][HTML] Autonomous and Sustainable Service economies: Data-Driven optimization of Design and Operations through Discovery of Multi-perspective parameters

N Alahmari, R Mehmood, A Alzahrani, T Yigitcanlar… - Sustainability, 2023 - mdpi.com
The rise in the service economy has been fueled by breakthroughs in technology,
globalization, and evolving consumer patterns. However, this sector faces various …

[HTML][HTML] An Approach Based on Recurrent Neural Networks and Interactive Visualization to Improve Explainability in AI Systems

W Villegas-Ch, J García-Ortiz… - Big Data and Cognitive …, 2023 - mdpi.com
This paper investigated the importance of explainability in artificial intelligence models and
its application in the context of prediction in Formula (1). A step-by-step analysis was carried …

Digital technologies for a net-zero energy future: A comprehensive review

MM Ferdaus, T Dam, S Anavatti, S Das - Renewable and Sustainable …, 2024 - Elsevier
The energy sector plays a vital role in achieving a sustainable net-zero future, and the
adoption of advanced technologies such as AI, blockchain, quantum computing, digital twin …

[HTML][HTML] Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of …

Y Walter - Discover Artificial Intelligence, 2024 - Springer
This paper delves into the complexities of global AI regulation and governance,
emphasizing the socio-economic repercussions of rapid AI development. It scrutinizes the …

[HTML][HTML] Comparison of machine learning and statistical methods in the field of renewable energy power generation forecasting: a mini review

Y Dou, S Tan, D Xie - Frontiers in Energy Research, 2023 - frontiersin.org
In the post-COVID-19 era, countries are paying more attention to the energy transition as
well as tackling the increasingly severe climate crisis. Renewable energy has attracted …

[HTML][HTML] Research on energy consumption in household sector: a comprehensive review based on bibliometric analysis

T Wang, Q Zhao, W Gao, X He - Frontiers in Energy Research, 2024 - frontiersin.org
Households are an important sector in carrying out human development activities,
accounting for more than 30% of the total global energy consumption. The continued growth …

Governmental Management and Regulatory Measures for Advancing AI in the Ukrainian Energy Sector as a Basis for Rapid and Sustainable Development of the …

H Matviienko, S Kucherkova… - 2023 13th …, 2023 - ieeexplore.ieee.org
This article explores the crucial role of state regulation and support for the advancement of
artificial intelligence (AI) in the energy sector. The authors argue that the integration of AI into …

Multi-generational labour markets: Data-driven discovery of multi-perspective system parameters using machine learning

AA Alaql, F Alqurashi, R Mehmood - Science Progress, 2023 - journals.sagepub.com
The impact of aggressive capitalist approaches on social, economic and planet
sustainability is significant. Economic issues such as inflation, energy costs, taxes and …