Most Cited & Viewed
Most Cited & Viewed Papers
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Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess
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Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
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Trends in Using IoT with Machine Learning in Health Prediction System
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Amani Aldahiri, Bashair Alrashed and Walayat Hussain
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Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin
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Md Abul Ehsan Bhuiyan, Feifei Yang, Nishan Kumar Biswas, Saiful Haque Rahat and Tahneen Jahan Neelam
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Corporate Foresight and Dynamic Capabilities: An Exploratory Study
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Lisa-Marie Semke and Victor Tiberius
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Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique
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Ismail Shah, Hasnain Iftikhar and Sajid Ali
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Attention-Based CNN-RNN Arabic Text Recognition from Natural Scene Images
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Hanan Butt, Muhammad Raheel Raza, Muhammad Javed Ramzan, Muhammad Junaid Ali and Muhammad Haris
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Climatological Drought Forecasting Using Bias Corrected CMIP6 Climate Data: A Case Study for India
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Alen Shrestha, Md Mafuzur Rahaman, Ajay Kalra, Rohit Jogineedi and Pankaj Maheshwari
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Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices
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Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti and Marcello Marconi
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A Multi-Stage Price Forecasting Model for Day-Ahead Electricity Markets
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Radhakrishnan Angamuthu Chinnathambi, Anupam Mukherjee, Mitch Campion, Hossein Salehfar, Timothy M. Hansen, Jeremy Lin and Prakash Ranganathan
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Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks
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Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta
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