|
|
|
|
|
Fatema Elwy, Raafat Aburukba, A. R. Al-Ali, Ahmad Al Nabulsi, Alaa Tarek, Ameen Ayub and Mariam Elsayeh
Shared mobility is one of the smart city applications in which traditional individually owned vehicles are transformed into shared and distributed ownership. Ensuring the safety of both drivers and riders is a fundamental requirement in shared mobility. ...
ver más
|
|
|
|
|
|
|
|
|
Vaia I. Kontopoulou, Athanasios D. Panagopoulos, Ioannis Kakkos and George K. Matsopoulos
In the broad scientific field of time series forecasting, the ARIMA models and their variants have been widely applied for half a century now due to their mathematical simplicity and flexibility in application. However, with the recent advances in the de...
ver más
|
|
|
|
|
|
|
|
|
Fazlul Karim, Mohammed Ali Armin, David Ahmedt-Aristizabal, Lachlan Tychsen-Smith and Lars Petersson
Machine learning (also called data-driven) methods have become popular in modeling flood inundations across river basins. Among data-driven methods, traditional machine learning (ML) approaches are widely used to model flood events, and recently deep lea...
ver más
|
|
|
|
|
|
|
|
|
Dennis Delali Kwesi Wayo, Sonny Irawan, Alfrendo Satyanaga and Jong Kim
Data-driven models with some evolutionary optimization algorithms, such as particle swarm optimization (PSO) and ant colony optimization (ACO) for hydraulic fracturing of shale reservoirs, have in recent times been validated as one of the best-performing...
ver más
|
|
|
|
|
|
|
|
|
Alireza Alaei, Ying Wang, Vinh Bui and Bela Stantic
Social media have been a valuable data source for studying people?s opinions, intentions, and behaviours. Such a data source incorporating advanced big data analysis methods, such as machine-operated emotion and sentiment analysis, will open unprecedente...
ver más
|
|
|
|