Multimodal consumer choice prediction using EEG signals and eye tracking by Syed Muhammad Usman, Shehzad Khalid, Aimen Tanveer, Ali Shariq Imran, Muhammad Zubair

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Breast cancer classification based on hybrid CNN with LSTM model by Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, Yasser Fouad

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Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory by Mumtaz Ali, Jesu Vedha Nayahi, Erfan Abdi, Mohammad Ali Ghorbani, Farzan Mohajeri, Aitazaz Ahsan Farooque, Salman Alamery

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Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning by Jakub Horvath, Pavel Jedlicka, Marie Kratka, Zdenek Kubat, Eduard Kejnovsky, Matej Lexa

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Classification of Cigarette Types Using Computer Vision: An Analysis of Smoke Aggregation Features by Shishuan Guan, Lei Jiao, Zengyu Wang, Xiaofei Ji, Hongwei Zheng, Cunfeng Yu, Hongtao Li, Liwen Zheng, Shuaishuai Sun, Qiang Sun, Jun Li, Guangwei Jiang, Kezhi Wu, Erge Lin, Xinlong Zhang

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Predictive Maintenance and Fault Detection for Motor Drive Control Systems in Industrial Robots Using CNN-RNN-Based Observers by Chanthol Eang, Seungjae Lee

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Assessing the performance and interpretability of the CNN-LSTM-Attention model for daily streamflow forecasting in typical basins of the eastern Qinghai-Tibet Plateau by Chuchu Zhang, Yuyan Zhou, Fan Lu, Jianwei Liu, Jiayue Zhang, Zeying Yin, Mengyi Ji, Baoqi Li

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Classification of Stages 1,2,3 and Preplus, Plus disease of ROP using MultiCNN_LSTM classifier by Ranjana Agrawal, Sucheta Kulkarni, Madan Deshpande, Anita Gaikwad, Rahee Walambe, Ketan V. Kotecha

Subjects: “…MultiCNN_LSTM classifier for Classification of Early Stages and Pre-plus, plus disease of ROP…”
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Prediction of Bearing Remaining Service Life Based on CNN-LSTM by Cai Weiwei, Xu Yanwei, Xie Tancheng

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A hybrid CNN-LSTM model with adaptive instance normalization for one shot singing voice conversion by Assila Yousuf, David Solomon George

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A deep-learning approach to parameter fitting for a lithium metal battery cycling model, validated with experimental cell cycling time series by Maria Grazia Quarta, Ivonne Sgura, Elisa Emanuele, Jacopo Strada, Raquel Barreira, Benedetto Bozzini

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Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction by Ming Wei, Xiaopeng Du

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