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Skip to Search Results- 6Artificial Neural Network
- 2decision tree
- 1Circular tapped split ring resonator
- 1HVAC
- 1Internet of Things
- 1IoT
- 1Bains, Jayant Singh
- 1Biao Huang
- 1Goyal, Rahul
- 1Kirubakaran Velswamy
- 1Kopanati, Hemanth Varma
- 1Liu, Hanyu
- 3Graduate and Postdoctoral Studies (GPS), Faculty of
- 3Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 2Concordia University of Edmonton
- 1Chemical and Materials Engineering, Department of
- 1Chemical and Materials Engineering, Department of/Process Systems Engineering
- 1Concordia University of Edmonton/Master of Information Systems Security Management (MISSM) and Master of Information Systems Assurance Management (MISAM) Project Reports (Concordia University of Edmonton)
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A Long-Short Term Memory Recurrent Neural Network Based Reinforcement Learning Controller for Office Heating Ventilation and Air Conditioning Systems
Download2017-08-18
Yuan wang, Kirubakaran Velswamy, Biao Huang
Energy optimization in buildings by controlling the Heating Ventilation and Air Conditioning (HVAC) system is being researched extensively. In this paper, a model-free actor-critic Reinforcement Learning (RL) controller is designed using a variant of artificial recurrent neural networks called...
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2021-06-01
Bains, Jayant Singh, Goyal, Rahul, Kopanati, Hemanth Varma, Savaram, Bhargav Krishna
IoT devices have become the future of many industries like household, security, etc. but these devices have a requirement that is that they should be connected to a network. This makes them vulnerable to outside attacks. If security is built into each device, it would cost more and would not...
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2021-06-01
Palakonda, Vishal, Palacharla, Sri Krishna Kiriti, Mall, Uttam Kumar
Machine learning (ML) has numerous applications, one being able to predict or forecast the time series. Financial world was always interested in the stock market forecast, and ML tools has their niche in trading. Researchers across various fields have tried creating a faultproof method in...
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Spring 2021
Microwave planar resonators have been widely used in material characterization, environmental monitoring, proximity sensing, mechanical motion detection, etc. In general, non-contact sensing, real-time measurement, and CMOS compatibility, makes them interesting for chemical sensing, especially...
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Spring 2020
Decision makers require accurate estimates of water demand for the planning and operation of water resource systems. Short-term water demand forecasting can offer immediate information to assist daily or weekly operation while accurate long-term forecasting allows water utilities or governments...
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Volume Fraction Sensing of Multivariable Systems using Multi-Resonances of Planar Microwave Resonators
DownloadFall 2021
In recent years, sensing and selectivity have been the subject of many types of research due to their practical challenges. The main issue is the limited number of output data that confine the degree of freedom to solve the unknown problem. The majority of multi-variable experiments seek more...