English vocabulary learning model by the SNN and Conv LSTM algorithms. by Yunxia Wang (294320)

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The superiority of the proposed approach compared to the current state-of-the-art algorithms. by Ailian Gao (20629841)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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The suggested pipeline utilizes a probability attention method. by Ailian Gao (20629841)

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Energy utilization during load balancing. by Yousef Sanjalawe (22216626)

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Energy utilization during load balancing. by Yousef Sanjalawe (22216626)

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Mortality distribution predicted by the XGB with SVM selected features for short-term and long-term outcome. by Sazzli Kasim (11218558)

Mortality distribution predicted by the stacked EL with SVM selected features for short-term and long-term outcome. by Sazzli Kasim (11218558)

External utility table. by Min Shi (141075)

Advantages of the Conv LSTM algorithm in sequence data modeling. by Yunxia Wang (294320)

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Long short-term memory network structure diagram. by Hai Huang (140371)

Incremental sequences with utility dynamics. by Min Shi (141075)

DeLong test within different models based on LR classifier for the validation cohort. by Yalin Zhang (525749)

Algorithmic procedure overview. by Yuancheng Si (18150248)

“…This outcome suggests that combining traditional statistical methods with advanced deep learning algorithms can enhance stock market prediction. …”

Abbreviations used in the algorithm. by Richa Jain (6550391)

EO algorithm parameters. by Rizk M. Rizk-Allah (18625751)

“…The performance of LSTM is compared with other machine learning algorithm such as Decision tree (DT), Linear regression (LR) and Gradient Boosting. …”

Diagram of BILSTM-AEAM algorithm structure. by Hao Cao (2248066)

“…<div><p>This study proposes an advanced elevator fault precursor prediction method integrating Variational Mode Decomposition (VMD), Bidirectional Long Short-Term Memory (BILSTM), and an Autoencoder with an Attention Mechanism (AEAM), collectively referred to as the VMD-BILSTM-AEAM algorithm. …”