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Carbon emissions forecasting based on tensor decomposition with multi-source data fusion
Carbon emissions forecasting based on tensor decomposition with multi-source data fusion
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Carbon emissions forecasting based on tensor decomposition with multi-source data fusion

Xu, Xiaofeng ; Cao, Xiaoxi ; Yu, Lean

Information sciences, 2024-10, Vol.681, Article 121235 [Periódico revisado por pares]

Elsevier Inc

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2
Short-term subway passenger flow forecasting approach based on multi-source data fusion
Short-term subway passenger flow forecasting approach based on multi-source data fusion
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Short-term subway passenger flow forecasting approach based on multi-source data fusion

Cheng, Yifan ; Li, Hongtao ; Sun, Shaolong ; Liu, Wenzheng ; Jia, Xiaoyan ; Yu, Yang

Information sciences, 2024-09, Vol.679, p.121109, Article 121109 [Periódico revisado por pares]

Elsevier Inc

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3
A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM
A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM
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A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM

Cagcag Yolcu, Ozge ; Yolcu, Ufuk

Information sciences, 2024-09, Vol.679, p.121007, Article 121007 [Periódico revisado por pares]

Elsevier Inc

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4
HSFE: A hierarchical spatial-temporal feature enhanced framework for traffic flow forecasting
HSFE: A hierarchical spatial-temporal feature enhanced framework for traffic flow forecasting
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HSFE: A hierarchical spatial-temporal feature enhanced framework for traffic flow forecasting

Lou, Jungang ; Zhang, Xinye ; Wang, Ruiqin ; Liu, Zhenfang ; Zhao, Kang ; Shen, Qing

Information sciences, 2024-09, Vol.679, p.121070, Article 121070 [Periódico revisado por pares]

Elsevier Inc

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5
Improved dendritic learning: Activation function analysis
Improved dendritic learning: Activation function analysis
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Improved dendritic learning: Activation function analysis

Wang, Yizheng ; Yu, Yang ; Zhang, Tengfei ; Song, Keyu ; Wang, Yirui ; Gao, Shangce

Information sciences, 2024-09, Vol.679, p.121034, Article 121034 [Periódico revisado por pares]

Elsevier Inc

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6
HSeq2Seq: Hierarchical graph neural network for accurate mobile traffic forecasting
HSeq2Seq: Hierarchical graph neural network for accurate mobile traffic forecasting
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HSeq2Seq: Hierarchical graph neural network for accurate mobile traffic forecasting

Xie, Rihui ; Guan, Xuefeng ; Cao, Jun ; Wang, Xinglei ; Wu, Huayi

Information sciences, 2024-09, Vol.679, p.120982, Article 120982 [Periódico revisado por pares]

Elsevier Inc

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7
TFFS: A trainable federal fusion strategy for multistep time series forecasting
TFFS: A trainable federal fusion strategy for multistep time series forecasting
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TFFS: A trainable federal fusion strategy for multistep time series forecasting

Shao, Xiaorui ; Kim, Chang-Soo

Information sciences, 2024-09, Vol.679, p.121126, Article 121126 [Periódico revisado por pares]

Elsevier Inc

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8
Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios
Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios
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Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios

Li, Lincan ; Bi, Jichao ; Yang, Kaixiang ; Luo, Fengji

Information sciences, 2024-08, Vol.677, p.120911, Article 120911 [Periódico revisado por pares]

Elsevier Inc

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9
Distillation enhanced time series forecasting network with momentum contrastive learning
Distillation enhanced time series forecasting network with momentum contrastive learning
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Distillation enhanced time series forecasting network with momentum contrastive learning

Gao, Haozhi ; Ren, Qianqian ; Li, Jinbao

Information sciences, 2024-07, Vol.675, p.120712, Article 120712 [Periódico revisado por pares]

Elsevier Inc

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10
A novel intervention effect-based quadratic time-varying nonlinear discrete grey model for forecasting carbon emissions intensity
A novel intervention effect-based quadratic time-varying nonlinear discrete grey model for forecasting carbon emissions intensity
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A novel intervention effect-based quadratic time-varying nonlinear discrete grey model for forecasting carbon emissions intensity

Ye, Li ; Fang, Liping ; Dang, Yaoguo ; Wang, Junjie

Information sciences, 2024-07, Vol.675, p.120711, Article 120711 [Periódico revisado por pares]

Elsevier Inc

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Deste Autor:

  1. Parmezan, A
  2. Batista, G
  3. Souza, V

Neste Assunto:

  1. Computer Science
  2. Computer Science, Information Systems
  3. Science & Technology
  4. Technology
  5. Forecasting

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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