[HTML][HTML] A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a …
This research aims to optimize the solar–hydrogen energy system at Kangwon National
University's Samcheok campus by leveraging the integration of artificial intelligence (AI), the …
University's Samcheok campus by leveraging the integration of artificial intelligence (AI), the …
Digital maturity assessment model (DMAM): assimilation of design science research (DSR) and capability maturity model integration (CMMI)
Purpose This study introduces the Digital Maturity Assessment Model (DMAM), a model
tailored to assess the digital maturity of SMEs, tracing its development from addressing …
tailored to assess the digital maturity of SMEs, tracing its development from addressing …
[PDF][PDF] Pioneering digital transformation in Africa: the path to maturity amidst unique challenges and opportunities
This paper employs a scoping review methodology to thoroughly investigate the distinctive
challenges and opportunities that define digital transformation in African organizations. By …
challenges and opportunities that define digital transformation in African organizations. By …
A Review of Recent Advances in Intelligent Neuromorphic Computing-Assisted Machine Learning for Automatic Anomaly Detection
Intelligent neuromorphic computing has been increasingly used in recent years to improve
machine learning approaches for automatically detecting anomalies. This review paper …
machine learning approaches for automatically detecting anomalies. This review paper …
Unlocking digital transformation: The pivotal role of data analytics and business intelligence strategies
This article aims to comprehensively analyze the crucial role played by data analytics and
business intelligence (BI) strategies in propelling digital transformation within diverse …
business intelligence (BI) strategies in propelling digital transformation within diverse …
[HTML][HTML] A Learning Probabilistic Boolean Network Model of a Smart Grid with Applications in System Maintenance
PJ Rivera Torres, C Chen, J Macías-Aguayo… - Energies, 2024 - mdpi.com
Probabilistic Boolean Networks can capture the dynamics of complex biological systems as
well as other non-biological systems, such as manufacturing systems and smart grids. In this …
well as other non-biological systems, such as manufacturing systems and smart grids. In this …
[PDF][PDF] A Review on Fault Detection in IOT Sensor using Machine Learning
DM Bhatt, S Agal - 2024 - researchgate.net
In order to provide accurate and dependable sensor measurements which are crucial for
decision-making and system integrity in today's data-driven environments this study builds a …
decision-making and system integrity in today's data-driven environments this study builds a …