Publikacje
Found 12 results
Filters: Autor is Cüneyt Güzeliş  [Clear All Filters]
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2024.  Fire Detection and Risk Assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization. Applied Soft Computing. 164
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2024.  Multi-Sensor E-Nose based on Online Transfer Learning Trend Predictive Neural Network. IEEE Access. 
 (3.93 MB)
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2023.  Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. Applied Energy. 340
 (887.88 KB)
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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.  Comparative Study of Forecasting Models for COVID-19 Outbreak in Turkey. ASYU2021 . 
 (1.17 MB)
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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.  Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection. IEEE Access. 9
 (1.86 MB)
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2021.  A Smart Home Demand Response System based on Artificial Neural Networks Augmented with Constraint Satisfaction Heuristic. 13th INTERNATIONAL CONFERENCE on ELECTRICAL and ELECTRONICS ENGINEERING (ELECO). 
 (387.52 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)
