Results 71 to 80 of about 66,228 (238)
Energy Internet, EarlyView.ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An +5 more
wiley +1 more source
A New Model for the Calculation of Customer Life-time Value in Iranian Telecommunication Companies [PDF]
International Journal of Management, Accounting and Economics, 2015 In this paper, we proposed a new model to evaluate a customer's lifetime value, considering non-financial elements such as the customer’s churn probability, cooperation capability, willingness to refer, willingness to recommend, and innovation. We tested
Reza Samizadeh +3 more
doaj
Student Income Support and Participation in Higher Education: A Cohort Analysis
Australian Economic Review, EarlyView.ABSTRACT Background The 2008 Bradley Review introduced major reforms to Australian higher education, including a demand‐driven funding system and changes to student income support, aimed at expanding participation and improving equity outcomes. Aims This study examines how student income support receipt and higher education participation evolve across ...
Deborah A. Cobb‐Clark +2 more
wiley +1 more source
Jurnal Informatika, 2008 The purpose of this research is to design a customer churn prediction system using data mining approach. This system is able to perform data integration, data cleaning, data transformation, sampling and data splitting, prediction model building ...
Rajesri Govindaraju +2 more
doaj
Social networks for enhanced player churn prediction in mobile free-to-play games
Applied Network Science, 2022 Social networks have been shown to enhance player experience in online games and to be important for the players, who often build complex communities. In online and mobile games, the behavior of players is bursty as they tend to play intensively at first
María Óskarsdóttir +4 more
doaj +1 more source
The Political Quarterly, Volume 96, Issue 1, Page 189-198, January/March 2025.Abstract The Labour manifesto in this year's election implied a radical restructuring of the UK state, the way in which England is governed and in relations across the United Kingdom. The aim of making English devolution the ‘default option’ is set against fifty years of unsuccessful and partial devolution initiatives which have failed to reverse the ...
John Denham, Janice Morphet
wiley +1 more source
The Political Quarterly, Volume 96, Issue 1, Page 140-148, January/March 2025.Abstract In this article, the key dilemmas that will confront the new Labour administration in Britain during its initial period in power are examined. The Starmer government is seeking to use the state pragmatically to improve British economic performance, stem the crisis in public services and strengthen the strategic capacity of Whitehall.
Patrick Diamond +2 more
wiley +1 more source
Gender &History, EarlyView.ABSTRACT This article examines a wave of Orientalism‐inspired food commercials that appeared on television in France between 1975 and 2000. Older commercials for couscous were more banal, emphasizing a given product's superiority or affordability. Around 1975, however, there was a concerted shift in the advertising; new spots contained exoticized ...
Kelly Ricciardi Colvin
wiley +1 more source
THE URBAN METABOLISM OF FLOOD PROTECTION INFRASTRUCTURE IN JAKARTA, INDONESIA
International Journal of Urban and Regional Research, EarlyView.Abstract Investments in large‐scale climate infrastructures are central to emerging forms of climate urbanism. In Jakarta, flood protection infrastructures seek to protect the city from devastating flood events in anticipation of future catastrophes.
Sophie Webber, Wahyu Kusuma Astuti
wiley +1 more source
PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS
Economic Review, 2022 Machine learning, or as it is also called automated learning, is a special subfield of scientific information technologies. The name "machine learning" refers to the automated detection of meaningful patterns in large data sets.
Edin Osmanbegović +2 more
doaj +2 more sources