Optimization of electric vehicle sound package based on LSTM with an adaptive learning rate forest and multiple-level multiple-object method

Time series forecasting of petroleum production using deep LSTM recurrent networks

Alaa Sagheer, Mostafa Kotb · Neurocomputing · 2018 · 939 citations

Computing, Data Science, Petroleum Engineering +16

Accurate photovoltaic power forecasting models using deep LSTM-RNN

Mohamed Abdel‐Nasser, Karar Mahmoud · Neural Computing and Applications · 2017 · 740 citations

Engineering, Meteorology, Forecasting +11

SOC Estimation of Li-ion Batteries With Learning Rate-Optimized Deep Fully Convolutional Network

M. A. Hannan, D. N. T. How, Molla Shahadat Hossain Lipu et al. · IEEE Transactions on Power Electronics · 2020 · 226 citations · Full text

Engineering, Computational Engineering, Computer Science +17

Dynamic mass based sound transmission loss prediction of vibro-acoustic metamaterial double panels applied to the mass-air-mass resonance

Noé Geraldo Rocha de Melo Filho, Lucas Van Belle, C. Claeys et al. · Journal of Sound and Vibration · 2018 · 111 citations · Full text

Natural Sciences, Materials Science, Mechanical Engineering +16

A theoretical dynamic model to study the vibration response characteristics of an axial piston pump

Shaogan Ye, Junhui Zhang, Bing Xu et al. · Mechanical Systems and Signal Processing · 2020 · 110 citations

Engineering, Mechanical Engineering, Fluid Dynamics +15