[HTML][HTML] Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system

M Gaber, SH El-Banna, M El-Dabah, MS Hamad - Energy Reports, 2021 - Elsevier
Abstract The International Marine Organization (IMO) regulations forcing shipbuilders to use
electric ships to reducing pollution emitted from ship engines. Renewable energy resources …

[PDF][PDF] Designing and implementation of an intelligent energy management system for electric ship power system based on adaptive neuro-fuzzy inference system …

M Gaber, S El-Banna, M El-Dabah… - Adv. Sci. Technol. Eng …, 2021 - researchgate.net
Artificial Intelligence (AI) is a promising trend in ship energy management systems (EMS).
The motivations of this work are designing and implementation of an intelligent energy …

Interests and limits of machine learning-based neural networks for rotor position estimation in EV traction drives

W Zine, Z Makni, E Monmasson… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
In this paper, a novel rotor position estimator for an interior permanent magnet synchronous
motor is presented and evaluated. The proposed estimator lies on one of the most popular …

Principles and Foundations of Artificial Intelligence and Internet of Things Technology

H Bhardwaj, P Tomar, A Sakalle, U Sharma - Artificial Intelligence to Solve …, 2021 - Elsevier
Our future is certainly machine dependent, and robots will undoubtedly replace most of
human work. The dream is not just an illusion but also a natural result of the two most …

Comparison between artificial neural network and adaptive neuro-fuzzy inference system for the baryon-to-meson ratios in proton-proton collisions

DM Habashy, HI Lebda - arXiv preprint arXiv:2209.12709, 2022 - arxiv.org
This article presents two systems that can simulate and predict Particles ratios created in
high energy proton-proton (pp) collisions as a function of transverse momentum and the …

A Two-Terminal Fault Location Fusion Model of Transmission Line Based on CNN-Multi-Head-LSTM with an Attention Module

C Su, Q Yang, X Wu, CS Lai, LL Lai - Energies, 2023 - mdpi.com
Most traditional artificial intelligence-based fault location methods are very dependent on
fault signal selection and feature extraction, which is often based on prior knowledge …

A Simple Method for Fault Classification Based on Two Stages of Self Organizing Map

EG Guama, ID Claros - 2021 IEEE PES Innovative Smart Grid …, 2021 - ieeexplore.ieee.org
Recently, the use of algorithms based on artificial intelligence for fault analysis in power
systems has had a great increase mainly due to the ability of these techniques to model …

[PDF][PDF] Energy Reports

M Gaber, SH El-Banna, M El-Dabah, MS Hamad - 2021 - researchgate.net
abstract The International Marine Organization (IMO) regulations forcing shipbuilders to use
electric ships to reducing pollution emitted from ship engines. Renewable energy resources …

Social Media Analytics: Techniques, Tools, Platforms a Comprehensive Review

R Ahuja, A Lakhanpal, S Kumar - ICCCE 2020: Proceedings of the 3rd …, 2021 - Springer
To determine which social media analytics tools, techniques, and platforms were developed
in recent times, this paper reviews tools, techniques, and platforms related to social media …

Evolução de circuitos eletrônicos analógicos com avaliação de múltiplos objetivos baseada em sistema fuzzy

YC Bacelar - 2017 - bdtd.uerj.br
Yuri Campos Bacelar Page 1 Evolução de Circuitos Eletrô Múltiplos Objetivos Universidade do
Estado do Rio de Janeir Centro de Tecnologia e Ciências Faculdade de Engenharia Yuri …