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2025
Unemployment rate forecasting in Indonesia using macroeconomic indicators with a machine learning approach
Discover Analytics
2025
13TH INTERNATIONAL SCIENTIFIC CONFERENCE TECHSYS 2024 – ENGINEERING, TECHNOLOGIES AND SYSTEMS
2025
2025 IEEE International Conference on Software Services Engineering (SSE)
2024
An Enhanced IHHO-LSTM Model for Predicting Online Public Opinion Trends in Public Health Emergencies
Sage Open
2024
Addressing Uncertainty in Online Alarm Flood Classification Using Conformal Prediction
IEEE Access
2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
2024
Analyzing and forecasting poultry meat production and export volumes in Thailand: a time series approach
Cogent Food & Agriculture
2024
2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics
2024
Lecture Notes in Computer Science
2024
Leaky echo state network based on methane topology applied to time series prediction
IET Control Theory & Applications
2024
Enhancing Stock Market Prediction: A Robust LSTM-DNN Model Analysis on 26 Real-Life Datasets
IEEE Access
2024
Backpropagation through time learning for recurrence-aware long-term cognitive networks
Knowledge-Based Systems
2023
Unsupervised multimodal domain adversarial network for time series classification
Information Sciences
2023
CALIMERA: A new early time series classification method
Information Processing & Management
2023
2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE)
2023
Using evolution rule in complex time series comparison
Journal of Intelligent & Fuzzy Systems
2023
Forecasting of daily new lumpy skin disease cases in Thailand at different stages of the epidemic using fuzzy logic time series, NNAR, and ARIMA methods
Preventive Veterinary Medicine
2023
Identifying and Predicting Trends of Disruptive Technologies: An Empirical Study Based on Text Mining and Time Series Forecasting
Sustainability
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