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Publication search results
found 3,277 matches
- 2024
- Yipiao Chen, Xiaogang Yuan:
The Inclusion of the Volume-Price-Product Factor for the Trend Forecasting of Futures Time Series Data. IEEE Access 12: 17431-17445 (2024) - Suthasinee Iamsa-at, Punyaphol Horata, Khamron Sunat:
Bias-Boosted ELM for Knowledge Transfer in Brain Emotional Learning for Time Series Forecasting. IEEE Access 12: 35868-35898 (2024) - Anny Mardjo, Chidchanok Choksuchat:
HyBiLSTM: Multivariate Bitcoin Price Forecasting Using Hybrid Time-Series Models With Bidirectional LSTM. IEEE Access 12: 50792-50808 (2024) - Akifumi Okuno, Yuya Morishita, Yoh-ichi Mototake:
Autoregressive With Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series. IEEE Access 12: 24621-24630 (2024) - Jinxin Pan, Bo Jing, Shenglong Wang, Xiaotong Yuwen, Xiaoxuan Jiao:
Adaptive Fine-Tuning in Degradation-Time-Series Forecasting via Generating Source Domain. IEEE Access 12: 15093-15104 (2024) - Mehak Usmani, Zulfiqar Ali Memon, Kamaluddeen Usman Danyaro, Rizwan Qureshi:
Optimized Multi-Level Multi-Type Ensemble (OMME) Forecasting Model for Univariate Time Series. IEEE Access 12: 35700-35715 (2024) - Yifan Zhang, Rui Wu, Sergiu M. Dascalu, Frederick C. Harris Jr.:
Multi-Scale Transformer Pyramid Networks for Multivariate Time Series Forecasting. IEEE Access 12: 14731-14741 (2024) - Eatidal Amin, Luca Pipia, Santiago Belda, Gregor Perich, Lukas Valentin Graf, Helge Aasen, Shari Van Wittenberghe, José F. Moreno, Jochem Verrelst:
In-season forecasting of within-field grain yield from Sentinel-2 time series data. Int. J. Appl. Earth Obs. Geoinformation 126: 103636 (2024) - Seongho Hong, Seok-Jun Ko, Sang Inn Woo, Tae-Young Kwak, Sung-Ryul Kim:
Time-series forecasting of consolidation settlement using LSTM network. Appl. Intell. 54(2): 1386-1404 (2024) - Guoxiang Tong, Zhaoyuan Ge, Dunlu Peng:
RSMformer: an efficient multiscale transformer-based framework for long sequence time-series forecasting. Appl. Intell. 54(2): 1275-1296 (2024) - Yong Wang, Jianjian Peng, Xiaohu Wang, Zhicheng Zhang, Junting Duan:
Replacing self-attentions with convolutional layers in multivariate long sequence time-series forecasting. Appl. Intell. 54(1): 522-543 (2024) - Suyel Namasudra, Dhamodharavadhani S., R. Rathipriya, Rubén González Crespo, Nageswara Rao Moparthi:
Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data. Big Data 12(2): 83-99 (2024) - Victoria M. Perez Cortes, Arnab Chatterjee, Dolaana Khovalyg:
Dynamic personalized human body energy expenditure: Prediction using time series forecasting LSTM models. Biomed. Signal Process. Control. 87(Part A): 105381 (2024) - Hongsong Chen, Xingyu Li, Wenmao Liu:
Multivariate time series anomaly detection by fusion of deep convolution residual autoencoding reconstruction model and ConvLstm forecasting model. Comput. Secur. 137: 103581 (2024) - João Palet, Vasco M. Manquinho, Rui Henriques:
Multiple-input neural networks for time series forecasting incorporating historical and prospective context. Data Min. Knowl. Discov. 38(1): 315-341 (2024) - Zhuolin Li, Ziheng Gao, Gaowei Zhang, Jingjing Liu, Lingyu Xu:
Dynamic personalized graph neural network with linear complexity for multivariate time series forecasting. Eng. Appl. Artif. Intell. 127(Part A): 107291 (2024) - Adrian Ostermann, Arian Bajrami, Alexander Bogensperger:
Short-term forecasting of German generation-based CO2 emission factors using parametric and non-parametric time series models. Energy Inform. 7(1): 2 (2024) - Hossein Abbasimehr, Ali Noshad, Reza Paki:
A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques. Expert Syst. Appl. 235: 121279 (2024) - Wiwik Anggraeni, Eko Mulyanto Yuniarno, Reza Fuad Rachmadi, Surya Sumpeno, Pujiadi, Sugiyanto Sugiyanto, Joan Santoso, Mauridhi Hery Purnomo:
A hybrid EMD-GRNN-PSO in intermittent time-series data for dengue fever forecasting. Expert Syst. Appl. 237(Part B): 121438 (2024) - Eren Bas, Erol Egrioglu, Turan Cansu:
Robust training of median dendritic artificial neural networks for time series forecasting. Expert Syst. Appl. 238(Part C): 122080 (2024) - Xiaoqian Chen, Lalit Gupta:
Training LSTMS with circular-shift epochs for accurate event forecasting in imbalanced time series. Expert Syst. Appl. 238(Part C): 121701 (2024) - Siyuan Huang, Yepeng Liu, Fan Zhang, Yue Li, Jinjiang Li, Caiming Zhang:
CrossWaveNet: A dual-channel network with deep cross-decomposition for Long-term Time Series Forecasting. Expert Syst. Appl. 238(Part A): 121642 (2024) - Xinshuai Li, Senlin Luo, Limin Pan, Zhouting Wu:
Adapt to small-scale and long-term time series forecasting with enhanced multidimensional correlation. Expert Syst. Appl. 238(Part E): 122203 (2024) - César Peláez-Rodríguez, Jorge Pérez-Aracil, Dusan Fister, Ricardo Torres-Lopez, Sancho Salcedo-Sanz:
Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches. Expert Syst. Appl. 238(Part E): 122264 (2024) - Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Md Meftahul Ferdaus, Murat Tahtali, Savitha Ramasamy, Mahardhika Pratama:
GATE: A guided approach for time series ensemble forecasting. Expert Syst. Appl. 235: 121177 (2024) - Bo Wang, Xiaodong Liu, Ming Chi, Yao Li:
Bayesian network based probabilistic weighted high-order fuzzy time series forecasting. Expert Syst. Appl. 237(Part C): 121430 (2024) - Yuhan Wu, Xiyu Meng, Junru Zhang, Yang He, Joseph A. Romo, Yabo Dong, Dongming Lu:
Effective LSTMs with seasonal-trend decomposition and adaptive learning and niching-based backtracking search algorithm for time series forecasting. Expert Syst. Appl. 236: 121202 (2024) - Hemant Yadav, Amit Thakkar:
NOA-LSTM: An efficient LSTM cell architecture for time series forecasting. Expert Syst. Appl. 238(Part F): 122333 (2024) - Hui Zhang, Bo Sun, Wei Peng:
A novel hybrid deep fuzzy model based on gradient descent algorithm with application to time series forecasting. Expert Syst. Appl. 238(Part E): 121988 (2024) - Ran Wang, Yunbao Xu, Qinwen Yang:
A new adaptive grey seasonal model for time series forecasting tasks. Grey Syst. Theory Appl. 14(2): 360-373 (2024)
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