[HTML][HTML] An integrated MCDM approach for enhancing efficiency in connected autonomous vehicles through augmented intelligence and IoT integration

SJ Ghoushchi, SS Haghshenas, S Vahabzadeh… - Results in …, 2024 - Elsevier
The rapid advancement of Connected Autonomous Vehicles (CAVs) equipped with self-
powered sensors is poised to revolutionize road safety, efficiency, and the quality of travel …

An integrated MEREC-taxonomy methodology using T-spherical fuzzy information: An application in smart farming decision analytics

TY Chen - Advanced Engineering Informatics, 2024 - Elsevier
This research presents an effective approach for multiple criteria decision analytics by
integrating the MEthod based on the Removal Effects of Criteria (MEREC) and the taxonomy …

Failure analysis in smart grid solar integration using an extended decision-making-based FMEA model under uncertain environment

MR Maghami, S Vahabzadeh, AGO Mutambara… - … Research and Risk …, 2024 - Springer
Failures in the integration of solar energy into smart grids can have significant implications
for energy reliability and environmental sustainability, resulting in a greater dependence on …

Applying hesitant q-rung orthopair fuzzy sets to evaluate uncertainty in subsidence causes factors

SJ Ghoushchi, S Vahabzadeh, D Pamucar - Heliyon, 2024 - cell.com
Land subsidence is a widespread problem impacting communities worldwide.
Understanding the causes and factors of land subsidence is crucial for identifying and …

Análisis del alcance actual de la inteligencia artificial para la toma de decisiones en la logística inversa del E-WASTE una revisión sistémica de literatura

LI Suárez Avila - 2024 - repository.unipiloto.edu.co
La logística inversa se ha convertido en un elemento fundamental para la sostenibilidad y
eficiencia en la gestión de la cadena de suministro, especialmente en el contexto del …

[PDF][PDF] Results in Engineering

SJ Ghoushchi, SS Haghshenas, S Vahabzadeh… - researchgate.net
The rapid advancement of Connected Autonomous Vehicles (CAVs) equipped with self-
powered sensors is poised to revolutionize road safety, efficiency, and the quality of travel …