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Computer Sciences & Mathematics Forum
Volume 16
Issue 1
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Comput. Sci. Math. Forum, 2026, ITISE 2026

The 12th International Conference on Time Series and Forecasting

Canaria, Spain | 15–17 July 2026

Volume Editors:
Olga Valenzuela, University of Granada, Granada, Spain
Fernando Rojas, University of Granada, Granada, Spain
Luis Javier Herrera, University of Granada, Granada, Spain
Hector Pomares, University of Granada, Granada, Spain
Ignacio Rojas, University of Granada, Granada, Spain

Number of Papers: 1
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Cover Story (view full-size image): The International Conference on Time Series and Forecasting (ITISE) is a multidisciplinary forum that gathers researchers from computer science, statistics, mathematics, econometrics and applied [...] Read more.
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6 pages, 519 KB  
Proceeding Paper
Modeling and Forecasting of Urban Housing Tenure Using Deep Learning Approach (2024–2033)
by Nasibeh Esmaeili and Gholamreza Ghaffari
Comput. Sci. Math. Forum 2026, 16(1), 1; https://doi.org/10.3390/cmsf2026016001 - 16 Sep 2026
Viewed by 14
Abstract
Housing tenure status is a core determinant of both social sustainability and urban quality of life. This paper examines changes in urban housing tenure status in Iran between 1974 and 2023, as well as forecasts future trends from 2024 to 2033 based on [...] Read more.
Housing tenure status is a core determinant of both social sustainability and urban quality of life. This paper examines changes in urban housing tenure status in Iran between 1974 and 2023, as well as forecasts future trends from 2024 to 2033 based on a Deep Neural Network model designed in MATLAB using statistical data from the Iran Statistical Center. Homeownership remains the predominant tenure type (69%). The Deep Learning based Neural Network model predicts that mortgaged housing will continue to grow over the next decade, while homeownership and rental shares will continue to decline. Full article
(This article belongs to the Proceedings of The 12th International Conference on Time Series and Forecasting)
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