80 citations · 141 across the 4 of their papers we have counts for
5 papers
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…
Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers
Erdal Kayacan, Erkan Kayacan, Herman Ramon +2
Provision of some autonomous functions to an agricultural vehicle would lighten the job of the operator but in doing so, the accuracy should not be lost to still obtain an optimal…
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)
Yingxu Wang, Fakhri Karray, Sam Kwong +12
Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitive systems exhibiting autonomous collective intelligence enabled by coherent symbiosis of human-machine inter…
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…