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ORCIDDitsuhi Iskandaryan
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Books and Theses
- 2023
[b1]Ditsuhi Iskandaryan:
Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components. Jaume I University, Spain, 2023
Journal Articles
- 2024
- [j5]Sergio Trilles
, Sahibzada Saadoon Hammad, Ditsuhi Iskandaryan:
Anomaly detection based on Artificial Intelligence of Things: A Systematic Literature Mapping. Internet Things 25: 101063 (2024) - 2023
- [j4]Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles:
Graph Neural Network for Air Quality Prediction: A Case Study in Madrid. IEEE Access 11: 2729-2742 (2023) - [j3]Sahibzada Saadoon Hammad, Ditsuhi Iskandaryan, Sergio Trilles:
An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment. Internet Things 23: 100848 (2023) - [j2]Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles:
A set of deep learning algorithms for air quality prediction applications. Softw. Impacts 17: 100562 (2023) - 2022
- [j1]Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles:
Comparison of Nitrogen Dioxide Predictions During a Pandemic and Non-pandemic Scenario in the City of Madrid using a Convolutional LSTM Network. Int. J. Comput. Intell. Appl. 21(2): 2250014:1-2250014:11 (2022)
Conference and Workshop Papers
- 2022
- [c1]Ditsuhi Iskandaryan, Silvana Di Sabatino, Francisco Ramos, Sergio Trilles:
Exploratory Analysis and Feature Selection for the Prediction of Nitrogen Dioxide. AGILE Conf. 2022: 6
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