48 citations · 156 across the 30 of their papers we have counts for
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Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting
Hafizh Raihan Kurnia Putra, Novanto Yudistira, Tirana Noor Fatyanosa
Time-series forecasting often faces challenges due to data volatility, which can lead to inaccurate predictions. Variational Mode Decomposition (VMD) has emerged as a promising tec…
Deep Transformer Model with Pre-Layer Normalization for COVID-19 Growth Prediction
Rizki Ramadhan Fitra, Novanto Yudistira, Wayan Firdaus Mahmudy
Coronavirus disease or COVID-19 is an infectious disease caused by the SARS-CoV-2 virus. The first confirmed case caused by this virus was found at the end of December 2019 in Wuha…
COVID-19 growth prediction using multivariate long short term memory
Novanto Yudistira
Coronavirus disease (COVID-19) spread forecasting is an important task to track the growth of the pandemic. Existing predictions are merely based on qualitative analyses and mathem…