A Study on the Differences in Optimized Inputs of Various Data-Driven Methods for Battery Capacity Prediction by Kuo Xin, Fu Jia, Byoungik Choi, Geesoo Lee

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A comprehensive evaluation of ai techniques for air quality index prediction: RNNs and transformers by Pablo Andrés Buestán Andrade, Pedro Esteban Carrión Zamora, Anthony Eduardo Chamba Lara, Juan Pablo Pazmiño Piedra

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Deep Learning Approach in Seismology: Enhancing Earthquake Forecasting using K-Means Clustering and LSTM Networks by Tyanita Puti Marindah Wardhani, Zulkifli Tahir, Elly Warni, Anugrayani Bustamin, Muhammad Alief Fahdal Imran Oemar, Muhammad Alwi Kayyum

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Short-term prediction of trimaran load based on data driven technology by Haoyun Tang, Rui Zhu, Qian Wan, Deyuan Ren

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Earthworm optimization algorithm based cascade LSTM-GRU model for android malware detection by Brij B. Gupta, Akshat Gaurav, Varsha Arya, Shavi Bansal, Razaz Waheeb Attar, Ahmed Alhomoud, Konstantinos Psannis

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New method of text representation model based on neural network by Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU

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Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM by Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata

Subjects: “…Bi-LSTM…”
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Classification of User Expressions on Social Media Using LSTM and GRU Models by I Gede Putra Mas Yusadara, I Gusti Ayu Desi Saryanti

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Neural network and Markov based combination prediction algorithm of video popularity by Xuesen MA, Shuyou CHEN, Xiangdong XU, Zhaokun CHU

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Hybrid GNSS time-series prediction method based on ensemble empirical mode decomposition with long short-term memory by Yu Zhou, Xiaoxing He, Shengdao Wang, Shunqiang Hu, Xiwen Sun, Jiahui Huang

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Nanotechnology and LSTM machine learning algorithms in advanced fuel spray dynamics in CI engines with different bowl geometries by Harish Venu, Manzoore Elahi M. Soudagar, Tiong Sieh Kiong, N. M. Razali, Hua-Rong Wei, Armin Rajabi, V. Dhana Raju, T. M. Yunus Khan, Naif Almakayeel, Erdem Cuce, Huseyin Seker

Subjects: “…LSTM…”
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Ischemic Heart Disease Prognosis: A Hybrid Residual Attention-Enhanced LSTM Model by D. Cenitta, R. Vijaya Arjunan, Ganesh Paramasivam, N. Arul, Anisha Palkar, Krishnaraj Chadaga

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Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions by R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam, Balamurugan Balusamy, Chithirai Pon Selvan, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

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A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

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XI2S-IDS: An Explainable Intelligent 2-Stage Intrusion Detection System by Maiada M. Mahmoud, Yasser Omar Youssef, Ayman A. Abdel-Hamid

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An End-to-End Ocean Environmental Noise Anomaly Detection Framework Combining Time–Frequency Information and Expert Gating by Libin Du, Mingyang Liu, Zhichao Lv, Chuanhe Tan, Junkai He, Fei Yu

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Enhanced Fault Detection in Solar Photovoltaic Modules Using VMD-LSTM Model by Sikandar Shah Syed, Bin Li

Subjects: “…current signal, emd, imf, lstm, pscad simulation, solar photovoltaic.…”
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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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An explainable Bi-LSTM model for winter wheat yield prediction by Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, Subrata Chakraborty, Renuganth Varatharajoo, Abdullah Alamri, Shilpa Gite, Chang-Wook Lee

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Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security by Balsam Ridha Habeeb Alsaedi

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