ArticleJournal of big data2022
Time-series analysis with smoothed Convolutional Neural Network.
Article in Journal of big data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Optimizing Tuberculosis Incidence Prediction: A Systematic Review of Hybrid Modeling Approaches and Machine Learning Techniques.Public health challenges · 2026Review
- Prediction of BDS-3 Satellite Clock Bias Based on the Mamba-LSTM Model.Sensors (Basel, Switzerland) · 2026Article
- Artificial Neural Networks for Predicting Emissions from the Livestock Sector: A Review.Animals : an open access journal from MDPI · 2025Review
- Deep learning approaches for predicting solar radiation and freshwater yield in modified pyramid solar still.Scientific reports · 2025Article
- A Machine Learning Framework for Cancer Prognostics: Integrating Temporal and Immune Gene Dynamics via ARIMA-CNN.Biomedicines · 2025Article
- Research on the digital transaction model of the sports industry chain based on blockchain technology.Scientific reports · 2025Article
- Generative AI Models in Time-Varying Biomedical Data: Scoping Review.Journal of medical Internet research · 2025Article
- Emotion Recognition Using PPG Signals of Smartwatch on Purpose of Threat Detection.Sensors (Basel, Switzerland) · 2024Article
- AI-Assisted Real-Time Immunoassay Improves Clinical Sensitivity and Specificity.Analytical chemistry · 2024Article
- Exploring the dynamics of monkeypox transmission with data-driven methods and a deterministic model.Frontiers in epidemiology · 2024Article
- ANN deformation prediction model for deep foundation pit with considering the influence of rainfall.Scientific reports · 2023Article
- Comparing Synchronicity in Body Movement among Jazz Musicians with Their Emotions.Sensors (Basel, Switzerland) · 2023Article
- Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia.Heliyon · 2023Article
- Time-Series Analysis and Healthcare Implications of COVID-19 Pandemic in Saudi Arabia.Healthcare (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
CNN originates from image processing and is not commonly known as a forecasting technique in time-series analysis which depends on the quality of input data. One of the methods to improve the quality is by smoothing the data. This study introduces a novel hybrid exponential smoothing using CNN called Smoothed-CNN (S-CNN). The method of combining tactics outperforms the majority of individual solutions in forecasting. The S-CNN was compared with the original CNN method and other forecasting methods such as Multilayer Perceptron (MLP) and Long Short-Term Memory (LSTM). The dataset is a year time-series of daily website visitors. Since there are no special rules for using the number of hidden layers, the Lucas number was used. The results show that S-CNN is better than MLP and LSTM, with the best MSE of 0.012147693 using 76 hidden layers at 80%:20% data composition.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.