80 citations · 141 across the 4 of their papers we have counts for
3 papers · 1 filter
Proportional integral derivative booster for neural networks-based time-series prediction: Case of water demand prediction
Tony Salloom, Okyay Kaynak, Xinbo Yub +1
Multi-step time-series prediction is an essential supportive step for decision-makers in several industrial areas. Artificial intelligence techniques, which use a neural network co…
A Novel Deep Neural Network Architecture for Real-Time Water Demand Forecasting
Tony Salloom, Okyay Kaynak, Wei He
Short-term water demand forecasting (StWDF) is the foundation stone in the derivation of an optimal plan for controlling water supply systems. Deep learning (DL) approaches provide…
Short-Term Traffic Flow Prediction Using Variational LSTM Networks
Mehrdad Farahani, Marzieh Farahani, Mohammad Manthouri +1
Traffic flow characteristics are one of the most critical decision-making and traffic policing factors in a region. Awareness of the predicted status of the traffic flow has prime…