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Optimizing multi label student performance prediction with GNN-TINet: A contextual multidimensional deep learning framework.

• Authors : Zhang X; College of Liberal Arts and Science, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.; Zhang Y

Subjects: Deep Learning* ; Students*; Humans

• Source: PloS one [PLoS One] 2025 Jan 22; Vol. 20 (1), pp. e0314823. Date of Electronic Publication: 2025 Jan 22 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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SAPPNet: students’ academic performance prediction during COVID-19 using neural network

• Authors : Naveed Ur Rehman Junejo; Qingsheng Huang; Xiaoqing Dong

Subjects: Student performance prediction. machine learning; Deep learning; SVM

• Source: Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)

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Efficient performance prediction of end-to-end autonomous driving under continuous distribution shifts based on anomaly detection

• Authors : Luan, Siyu; Gu, Zonghua; Wan, Shaohua

Subjects: Machine learning; Deep learning; Distribution shifts

• Source: Journal of Signal Processing Systems. 95(12):1455-1468

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Driver Takeover Performance Prediction Based on LSTM-BiLSTM-ATTENTION Model

• Authors : Lijie Chen; Daofei Li; Tao Wang

Subjects: human–machine codriving; driving simulation; eye tracking

• Source: Systems, Vol 13, Iss 1, p 46 (2025)

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Seismic Performance Prediction of RC, BRB and SDOF Structures Using Deep Learning and the Intensity Measure I Np.

• Authors : Payán-Serrano, Omar¹ (AUTHOR) ; Bojórquez, Edén² (AUTHOR) ; Carrillo, Julián³ (AUTHOR)

• Source: AI. Sep2024, Vol. 5 Issue 3, p1496-1516. 21p.

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Performance prediction of sintered NdFeB magnet using multi-head attention regression models

• Authors : Qichao Liang; Qiang Ma; Hao Wu

Subjects: Sintered NdFeB; Machine learning; Deep learning

• Source: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

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Proton membrane fuel cell stack performance prediction through deep learning method

• Authors : Jiangtao Fu; Zhumu Fu; Shuzhong Song

Subjects: Proton membrane fuel cell; Performance prediction; Fuel cell stack model

• Source: Energy Reports, Vol 8, Iss , Pp 5387-5395 (2022)

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Advancing Sustainable Learning Environments: A Literature Review on Data Encoding Techniques for Student Performance Prediction using Deep Learning Models in Education

• Authors : Ouahi Mariame; Khoulji Samira; Laarbi Kerkeb Mohammed

Subjects: categorical data encoding; student performance prediction; educational data mining

• Source: E3S Web of Conferences, Vol 477, p 00074 (2024)

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ANN-LSTM: A deep learning model for early student performance prediction in MOOC

• Authors : Fatima Ahmed Al-azazi; Mossa Ghurab

Subjects: Multi-class classification; Student performance prediction; Deep learning

• Source: Heliyon, Vol 9, Iss 4, Pp e15382- (2023)

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Gas well performance prediction using deep learning jointly driven by decline curve analysis model and production data.

• Authors : Liang Xue^1,2 ; Jiabao Wang^1,2 ; Jiangxia Han^1,2

• Source: Advances in Geo-Energy Research. Jun2023, Vol. 8 Issue 3, p159-169. 11p.

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