A systematic review for smart city data analytics

V Moustaka, A Vakali, LG Anthopoulos - ACM Computing Surveys (cSuR …, 2018 - dl.acm.org
Smart cities (SCs) are becoming highly sophisticated ecosystems at which innovative
solutions and smart services are being deployed. These ecosystems consider SCs as data …

City-wide signal strength maps: Prediction with random forests

E Alimpertis, A Markopoulou, C Butts… - The World Wide Web …, 2019 - dl.acm.org
Signal strength maps are of great importance to cellular providers for network planning and
operation, however they are expensive to obtain and possibly limited or inaccurate in some …

Applying social event data for the management of cellular networks

S Fortes, D Palacios, I Serrano… - IEEE Communications …, 2018 - ieeexplore.ieee.org
The Internet provides a growing variety of social data sources: calendars, event aggregators,
social networks, browsers, and so on. Also, the mechanisms to gather information from these …

Forecasting for network management with joint statistical modelling and machine learning

LL Schiavo, M Fiore, M Gramaglia… - 2022 IEEE 23rd …, 2022 - ieeexplore.ieee.org
Forecasting is a task of ever increasing importance for the operation of mobile networks,
where it supports anticipatory decisions by network intelligence and enables emerging zero …

[PDF][PDF] A Proposed Methodology for Intelligent Decision-Making in Smart Cities and Urban Planning

D Lartey, KMY Law - Development, 2024 - toknowpress.net
Urbanization and climate change present unprecedented challenges to cities, necessitating
innovative approaches to ensure urban resilience and sustainability. Currently, traditional …

Previsão de atividades humanas para dispositivos móveis utilizando mineração de padrões sequenciais

KM Gonçalves - 2019 - tede.ufam.edu.br
Os smartphones estão transformando a forma como os seres humanos vivem e como se
relacionam com as outras pessoas. A medida que o número de sensores embarcados …