ITISE 2026 - 9 articles
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
This paper examines artificial intelligence (AI) adoption as a dynamic, temporally unfolding organizational process and develops a qualitative foundation for forecasting-oriented research on enterprise AI scaling. Drawing on 30 in-depth semi-structur...
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...
This study benchmarks 16 online change point detection algorithms on both synthetic and real-world time series. The synthetic benchmark evaluates performance under controlled combinations of noise level, change magnitude, and change type, whereas the...
The sustained growth of urban populations has worsened chronic traffic congestion, with detrimental impacts on multiple dimensions of urban livability, including increased commute times, reduced road safety, and the degradation of local air quality....
Hyperparameter optimisation (HPO) pipelines for demand forecasting almost always minimise the magnitude of the error (MSE, MAPE, etc.), a metric that measures how large errors are but says nothing about their direction. A forecast can score well on M...
Tourism is one of the fastest-growing sectors of the global economy and plays a crucial role in economic development, employment generation, and regional competitiveness. In recent years, Georgia has experienced a notable increase in international to...
Forecasting fuel injector core returns is a critical planning activity for heavy-duty diesel remanufacturers, yet industry practice still relies on univariate methods that cannot absorb external leading indicators. This paper proposes the first covar...
In developing countries, the informal economy represents 30 to 60 percent of gross domestic product and employs more than half of the workforce, yet its role in moderating the benefits of international trade remains underexplored. This study investig...
High-frequency time-series data applications generate data volumes that quickly exceed the strict memory and computational limits of ultra-low-power microcontrollers, making end-to-end deep learning approaches impractical for embedded machine learnin...
