Published: 04 Mar 2025
Volume 2
Mircea Țălu
talu.s.mircea@gmail.com
Published: 07 Feb 2025
Volume 2
Nijat Taghizad
tagizadenijat@gmail.com
Pietro Lio
pl219at@cam.ac.uk
Modern electrical systems rely on sensors and relays for fault detection in three-phase transmission lines and distribution transformers, but these devices often face time complexity issues and false alarms. In this study, the fault detection accuracy is compared in models studied in 2023 and 2024 following PRISMA guidelines. The objectives were to identify fault types, utilize machine learning models to assess their predictive efficacy, and establish accuracy levels. To explore..
Available Online: 07 Oct 2025
Volume 2
Yih-Chang Chen
cheny@mail.cjcu.edu.tw
Chia-Ching Lin
lincc@mail.cjcu.edu.tw
Available Online: 01 Sep 2025
Volume 2
Constantine Andoniou
constantine.andoniou@adu.ac.ae
Available Online: 25 Aug 2025
Volume 2
Zhihang Zhang
23125148@bjtu.edu.cn
Feng Wang
feng.wang@bjtu.edu.cn
Peng Li
lipeng@bjtu.edu.cn
Available Online: 16 May 2025
Volume 2
Andreea V. Cojocaru
candreeavalentina@gmail.com
Stefan Balint
stefan.balint@e-uvt.ro
This paper presents a fuzzy, computational model for the natural languish word ‘human intelligence’. This is a mathematical model that takes into account various interpretations of the word “intelligent” and enables comparisons between them for a given IQ index. The model is a linguistic variable mathematical model, built especially for the word ‘human intelligence’ and is called the ‘human intelligence’ linguistic variable. The model is constructed systematically along the whole..