A Pressure-Based Electromagnetic Energy Harvester for Pipeline Monitoring Applications
Author(s) -
Sadia Bakhtiar,
Farid Ullah Khan,
Wahad Ur Rahman,
Atif Sardar Khan,
Muhammad Masood Ahmad,
Muhammad Iqbal
Publication year - 2022
Publication title -
journal of sensors
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.399
H-Index - 43
eISSN - 1687-7268
pISSN - 1687-725X
DOI - 10.1155/2022/6529623
Subject(s) - electrical engineering , voltage , electromagnetic coil , pipeline (software) , energy harvesting , rectifier (neural networks) , engineering , power (physics) , energy (signal processing) , acoustics , mechanical engineering , computer science , physics , recurrent neural network , artificial neural network , stochastic neural network , quantum mechanics , machine learning
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