Source: Renal failure [Ren Fail] 2024 Dec; Vol. 46 (1), pp. 2326312. Date of Electronic Publication: 2024 Mar 14.Publisher: Informa Healthcare Country of Publication: England NLM ID: 8701128 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Machine learning portfolios for US stock prices: Directional forecasting before and during the COVID-19 pandemic.

Authors : Reyes Santiago, Adán; Maíz Jiménez, Jaime González

Subjects: COVID-19 pandemic; MACHINE learning; STOCK price forecasting

Source: Contaduría y Administración; 2024, Vol. 69 Issue 4, p254-277, 24p

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Demanda de turistas internacionales hacia México: construcción de un modelo predictivo.

Authors : Rodriguez-Marin, Mauro

Subjects: INTERNATIONAL tourism; COVID-19; TOURISMMEXICO

Source: Contaduría y Administración; 2024, Vol. 69 Issue 4, p327-344, 18p

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Popularity prediction with semantic retrieval for news recommendation.

Authors : Ding, Yuhan¹ (AUTHOR) ; Wang, Bang¹ (AUTHOR) ; Cui, Xiangyang² (AUTHOR)

Subjects: *POPULARITY; *FORECASTING; *ENCODING

Source: Expert Systems with Applications. Aug2024, Vol. 247, pN.PAG-N.PAG. 1p.

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Metro Station functional clustering and dual-view recurrent graph convolutional network for metro passenger flow prediction.

Authors : Fang, Hao^1,2 (AUTHOR) ; Chen, Chi-Hua¹ (AUTHOR) ; Hwang, Feng-Jang^1,3 (AUTHOR)

Subjects: *URBAN transportation; *TRAFFIC congestion; *FEATURE extraction

Source: Expert Systems with Applications. Aug2024, Vol. 247, pN.PAG-N.PAG. 1p.

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Hybrid carbon price forecasting using a deep augmented FEDformer model and multimodel optimization piecewise error correction.

Authors : Hong, Jun-Tao¹ (AUTHOR) ; Bai, Yu-Long¹ (AUTHOR) ; Huang, Yu-Ting¹ (AUTHOR)

Subjects: *CARBON pricing; *HILBERT-Huang transform; *ERROR functionsHUBEI Sheng (China); GUANGZHOU (China); CHINA

Source: Expert Systems with Applications. Aug2024, Vol. 247, pN.PAG-N.PAG. 1p.

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Ridesplitting demand prediction via spatiotemporal multi-graph convolutional network.

Authors : Li, Yafei¹ (AUTHOR) ; Sun, Huijun¹ (AUTHOR) ; Lv, Ying¹ (AUTHOR)

Subjects: *DEMAND forecasting; *MULTIGRAPH; *INTELLIGENT transportation systemsBEIJING (China)

Source: Expert Systems with Applications. Aug2024, Vol. 247, pN.PAG-N.PAG. 1p.

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A wavelet-LSTM model for short-term wind power forecasting using wind farm SCADA data.

Authors : Liu, Zhao-Hua^1,2 (AUTHOR) ; Wang, Chang-Tong^1,2,3 (AUTHOR); Wei, Hua-Liang⁴ (AUTHOR)

Subjects: *WIND power; *WIND forecasting; *DEEP learning

Source: Expert Systems with Applications. Aug2024, Vol. 247, pN.PAG-N.PAG. 1p.

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Temporal context video compression with flow-guided feature prediction.

Authors : Wang, Yiming^1,2 (AUTHOR) ; Huang, Qian^1,2 (AUTHOR) ; Tang, Bin^1,2 (AUTHOR)

Subjects: *OPTICAL flow; *FORECASTING; *VIDEO compression

Source: Expert Systems with Applications. Aug2024, Vol. 247, pN.PAG-N.PAG. 1p.

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An end to end two-stream framework for station-level bike-sharing flow prediction.

Authors : Yao, Xiaoyu¹ (AUTHOR) ; Feng, Jiahui¹ (AUTHOR)

Subjects: *FEATURE extraction; *CYCLING; *FORECASTING

Source: Expert Systems with Applications. Aug2024, Vol. 247, pN.PAG-N.PAG. 1p.

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Prediction of future observations based on ordered extreme k-records ranked set sampling with unequal fixed and random sample sizes.

Authors : Newer, Haidy A.¹ (AUTHOR)

Subjects: *STATISTICAL sampling; *SAMPLE size (Statistics); *MONTE Carlo method

Source: Journal of Computational & Applied Mathematics. Aug2024, Vol. 445, pN.PAG-N.PAG. 1p.

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A novel stock trading utilizing long short term memory prediction and evolutionary operating-weights strategy.

Authors : Huang, Xiaoman¹ (AUTHOR) ; Wu, Chang¹ (AUTHOR) ; Du, Xiaoqi¹ (AUTHOR)

Subjects: *SHORT-term memory; *LONG-term memory; *STOCKS (Finance)

Source: Expert Systems with Applications. Jul2024, Vol. 246, pN.PAG-N.PAG. 1p.

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Chaos-based support vector regression for load power forecasting of excavators.

Authors : Huo, Dongyang¹ (AUTHOR); Chen, Jinshi¹ (AUTHOR) ; Wang, Tongyang¹ (AUTHOR)

Subjects: *PARTICLE swarm optimization; *EXCAVATING machinery; *FORECASTING

Source: Expert Systems with Applications. Jul2024, Vol. 246, pN.PAG-N.PAG. 1p.

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A novel hybrid model for crude oil price forecasting based on MEEMD and Mix-KELM.

Authors : Li, Jingjing¹ (AUTHOR) ; Hong, Zhanjiang² (AUTHOR) ; Zhang, Chengyuan^1,3 (AUTHOR)

Subjects: *PETROLEUM sales & prices; *HILBERT-Huang transform; *STANDARD deviations

Source: Expert Systems with Applications. Jul2024, Vol. 246, pN.PAG-N.PAG. 1p.

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A novel two-stage dynamic pricing model for logistics planning using an exploration–exploitation framework: A multi-armed bandit problem.

Authors : Tajik, Mahmoud¹ (AUTHOR) ; Tosarkani, Babak Mohamadpour^1,2 (AUTHOR) ; Makui, Ahmad¹ (AUTHOR)

Subjects: *TIME-based pricing; *DEMAND function; *DYNAMIC models

Source: Expert Systems with Applications. Jul2024, Vol. 246, pN.PAG-N.PAG. 1p.

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A novel real-time multi-step forecasting system with a three-stage data preprocessing strategy for containerized freight market.

Authors : Yin, Kedong^1,2 (AUTHOR) ; Guo, Hongbo¹ (AUTHOR); Yang, Wendong^1,2 (AUTHOR)

Subjects: *COVID-19; *FORECASTING; *MARKETING forecasting

Source: Expert Systems with Applications. Jul2024, Vol. 246, pN.PAG-N.PAG. 1p.

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Stock Price Prediction using Multi-Layered Sequential LSTM.

Authors : Behura, Jyoti Prakash; Pande, Sagar Dhanraj; Ramesh, Janjhyam Venkata Naga

Subjects: STOCK prices; RECURRENT neural networks; SHORT-term memory

Source: EAI Endorsed Transactions on Scalable Information Systems; 2024, Vol. 11 Issue 4, p1-8, 8p

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Conformal prediction of option prices.

Authors : Bastos, João A.¹ (AUTHOR)

Subjects: *PRICES; *STOCK options; *OPTIONS (Finance)

Source: Expert Systems with Applications. Jul2024, Vol. 245, pN.PAG-N.PAG. 1p.

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SSCDV: Social media document embedding with sentiment and topics for financial market forecasting.

Authors : Ueda, Kentaro¹ (AUTHOR) ; Suwa, Hirohiko¹ (AUTHOR) ; Yamada, Masaki² (AUTHOR)

Subjects: *BUSINESS forecasting; *MARKETING forecasting; *FINANCIAL markets

Source: Expert Systems with Applications. Jul2024, Vol. 245, pN.PAG-N.PAG. 1p.

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Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit.

Authors : Wu, Jinxin¹ (AUTHOR) ; He, Deqiang¹ (AUTHOR) ; Jin, Zhenzhen¹ (AUTHOR)

Subjects: *URBAN transit systems; *TRAFFIC congestion; *PUBLIC transit ridership

Source: Expert Systems with Applications. Jul2024, Vol. 245, pN.PAG-N.PAG. 1p.

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On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction.

Authors : Yang, Peixin^1,2 (AUTHOR) ; Zhu, Lin³ (AUTHOR) ; Zhang, Yanjiao³ (AUTHOR)

Subjects: *SOURCE code; *FORECASTING; *REPRODUCIBLE research

Source: Expert Systems with Applications. Jul2024, Vol. 245, pN.PAG-N.PAG. 1p.

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Deep synergetic spiking neural P systems for the overall survival time prediction of glioblastoma patients.

Authors : Yin, Xiu¹ (AUTHOR) ; Liu, Xiyu¹ (AUTHOR) ; Dai, Jinpeng¹ (AUTHOR)

Subjects: *OVERALL survival; *TIME complexity; *GLIOBLASTOMA multiforme

Source: Expert Systems with Applications. Jul2024, Vol. 245, pN.PAG-N.PAG. 1p.

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Reliable trajectory prediction in scene fusion based on spatio-temporal Structure Causal Model.

Authors : Liu, Jianmin^1,2 (AUTHOR); Lin, Hui^1,2 (AUTHOR) ; Wang, Xiaoding^1,2 (AUTHOR)

Subjects: *CAUSAL models; *CAUSAL inference; *FORECASTING

Source: Information Fusion. Jul2024, Vol. 107, pN.PAG-N.PAG. 1p.

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Boosting urban prediction tasks with domain-sharing knowledge via meta-learning.

Authors : Wang, Dongkun (AUTHOR); Peng, Jieyang (AUTHOR); Tao, Xiaoming¹ (AUTHOR)

Subjects: *BIG data; *GRAPH neural networks; *BOOSTING algorithms

Source: Information Fusion. Jul2024, Vol. 107, pN.PAG-N.PAG. 1p.

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Chronic kidney disease prediction using improved deep belief network with local search nearest neighbour optimization.

Analysis of chronic kidney disease epidemiology in Kazakhstan using nationwide data for 2014-2020 and forecasting future trends of prevalence and mortality for 2030.

Machine learning portfolios for US stock prices: Directional forecasting before and during the COVID-19 pandemic.

Demanda de turistas internacionales hacia México: construcción de un modelo predictivo.

Popularity prediction with semantic retrieval for news recommendation.

Metro Station functional clustering and dual-view recurrent graph convolutional network for metro passenger flow prediction.

Hybrid carbon price forecasting using a deep augmented FEDformer model and multimodel optimization piecewise error correction.

Ridesplitting demand prediction via spatiotemporal multi-graph convolutional network.

A wavelet-LSTM model for short-term wind power forecasting using wind farm SCADA data.

Temporal context video compression with flow-guided feature prediction.

An end to end two-stream framework for station-level bike-sharing flow prediction.

Prediction of future observations based on ordered extreme k-records ranked set sampling with unequal fixed and random sample sizes.

A novel stock trading utilizing long short term memory prediction and evolutionary operating-weights strategy.

Chaos-based support vector regression for load power forecasting of excavators.

A novel hybrid model for crude oil price forecasting based on MEEMD and Mix-KELM.

A novel two-stage dynamic pricing model for logistics planning using an exploration–exploitation framework: A multi-armed bandit problem.

A novel real-time multi-step forecasting system with a three-stage data preprocessing strategy for containerized freight market.

Stock Price Prediction using Multi-Layered Sequential LSTM.

Conformal prediction of option prices.

SSCDV: Social media document embedding with sentiment and topics for financial market forecasting.

Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit.

On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction.

Deep synergetic spiking neural P systems for the overall survival time prediction of glioblastoma patients.

Reliable trajectory prediction in scene fusion based on spatio-temporal Structure Causal Model.

Boosting urban prediction tasks with domain-sharing knowledge via meta-learning.

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