Publications
Found 12 results
Filters: Author 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)
