Publikacje
Found 10 results
Filters: Autor is Volkan Rodoplu  [Clear All Filters]
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2022.  Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things. Journal of Network and Computer Applications (JNCA). 
 (1.36 MB)
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2022.  MOSAL: A Subspace Based Forecasting Algorithm for Throughput Maximization in IoT Networks. IEEE Sensors Journal. 
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2022.  Multi-Channel Subset Iteration with Minimal Loss in Available Capacity (MC-SIMLAC) Algorithm for Joint Forecasting-Scheduling in the Internet of Things. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA). 13(2)
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2021.  Dynamic Positioning Interval Based On Reciprocal Forecasting Error (DPI-RFE) Algorithm for Energy-Efficient Mobile IoT Indoor Positioning. International Conference on Computer, Information and Telecommunication Systems (CITS). 
 (364.76 KB)
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2021.  An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things. IEEE Access. 
 (4.36 MB)
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2021.  Energy-Efficient Indoor Positioning for Mobile Internet of Things Based on Artificial Intelligence. ASYU2021 . 
 (1.79 MB)
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2021.  Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning. 7th IEEE World Forum on the Internet of Things. 
 (262.85 KB)
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2021.  Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things. 7th IEEE World Forum on the Internet of Things. 
 (990.8 KB)
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2020.  Multi-Channel Joint Forecasting-Scheduling for the Internet of Things. IEEE Access. 8
 (4.33 MB)
