Motor Bearing Failure Identification Using Multiple Long Short-Term Memory Training Strategies by Youcef ATMANI, Ammar Mesloub, Said Rechak

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Comparing ChatGPT And LSTM In Predicting Changes In Quarterly Financial Metrics by Vitali Chaiko

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Fine-Grained Arabic Post (Tweet) Geolocation Prediction Using Deep Learning Techniques by Marwa K. Elteir

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An LSTM auto-encoder based anomaly detection for industrial system by Xiaojun SHEN, Yanan GE, Zhihao SHEN, Yangdan NI, Mingqi LV, Zhengqiu WENG

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A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system by R. Shelishiyah, Deepa Beeta Thiyam, M. Jehosheba Margaret, N. M. Masoodhu Banu

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Research on Chinese predicate head recognition based on Highway-BiLSTM network by Ruizhang HUANG, Wenfan JIN, Yanping CHEN, Yongbin QIN, Qinghua ZHENG

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FAULT DIAGNOSIS OF WIND TURBINE BEARING BASED ON SENET-RESNEXT-LSTM by DU HaoFei, ZHANG Chao, LI JianJun

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Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model by Xin CAI, Jingsheng LOU

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Predicting amyloid proteins using attention-based long short-term memory by Zhuowen Li

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An LSTM approach to deciphering irrigation operations from remote sensing and groundwater levels records by Shiqi Wei, Tianfang Xu

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LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

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Indonesian Government Revenue Prediction Using Long Short-Term Memory by Mahmud, Windu Gata, Hafifah Bella Novitasari, Sigit Kurniawan, Dedi Dwi Saputra

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Klasifikasi Intensi dengan Metode Ling Short-Term Memory pada Chatbot Bahasa Indonesia by Faiz Aulia Al Farisi, Rizal Setya Perdana, Putra Pandu Adikara

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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

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Prediction of power grid fault repair time based on multi-model fusion by Jianyue PAN, Yizhen WU, Hanlin XU

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Lunar Calendar Usage to Improve Forecasting Accuracy Rainfall via Machine Learning Methods by Gumgum Darmawan, Gatot Riwi Setyanto, Defi Yusti Faidah, Budhi Handoko

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Data‐Driven Forecasting of Low‐Latitude Ionospheric Total Electron Content Using the Random Forest and LSTM Machine Learning Methods by Gebreab K. Zewdie, Cesar Valladares, Morris B. Cohen, David J. Lary, Dhanya Ramani, Gizaw M. Tsidu

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DeepRD:LSTM-based Siamese network for Android repackaged applications detection by Run WANG, Benxiao TANG, Li’na WANG

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GMTBLC: a deep learning-based bi-modal network traffic classification method by WEI Debin, JIANG Qinlong, WEN Jinglong, WANG Xinrui

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Music Generation Using Deep Learning and Generative AI: A Systematic Review by Rohan Mitra, Imran Zualkernan

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