Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications

RA Khalil, N Saeed, M Masood, YM Fard… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

[PDF][PDF] Customer churn prediction in telecommunication industry using deep learning

SW Fujo, S Subramanian… - Information Sciences …, 2022 - digitalcommons.aaru.edu.jo
Without proper analysis and forecasting, industries will find themselves repeatedly churning
customers, which the telecom industry in particular cannot afford. A predictable model for …

Deep churn prediction method for telecommunication industry

L Saha, HK Tripathy, T Gaber, H El-Gohary… - Sustainability, 2023 - mdpi.com
Being able to predict the churn rate is the key to success for the telecommunication industry.
It is also important for the telecommunication industry to obtain a high profit. Thus, the …

A data-driven approach to improve customer churn prediction based on telecom customer segmentation

T Zhang, S Moro, RF Ramos - Future Internet, 2022 - mdpi.com
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …

An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry

SF Bilal, AA Almazroi, S Bashir, FH Khan… - PeerJ Computer …, 2022 - peerj.com
Mobile communication has become a dominant medium of communication over the past two
decades. New technologies and competitors are emerging rapidly and churn prediction has …

ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry

S Saha, C Saha, MM Haque, MGR Alam… - IEEE Access, 2024 - ieeexplore.ieee.org
In the Telecommunication Industry (TCI) customer churn is a significant issue because the
revenue of the service provider is highly dependent on the retention of existing customers. In …

Enhancing customer retention in telecom industry with machine learning driven churn prediction

A Sikri, R Jameel, SM Idrees, H Kaur - Scientific Reports, 2024 - nature.com
Customer churn remains a critical concern for businesses, highlighting the significance of
retaining existing customers over acquiring new ones. Effective prediction of potential …

Intelligent decision forest models for customer churn prediction

FE Usman-Hamza, AO Balogun, LF Capretz… - Applied Sciences, 2022 - mdpi.com
Customer churn is a critical issue impacting enterprises and organizations, particularly in the
emerging and highly competitive telecommunications industry. It is important to researchers …

[PDF][PDF] CUSTOMER CHURN PREDICTION WITH HYBRID RESAMPLING AND ENSEMBLE LEARNING.

T Kimura - Journal of Management Information & Decision …, 2022 - researchgate.net
Since acquiring new customers is often more costly than retaining existing ones, customer
retention management is critical for many business organizations. Identifying potential …

An efficient hybrid model for appliances classification based on time series features

M Aslan, EN Zurel - Energy and Buildings, 2022 - Elsevier
Today, depending on the increasing population and technological developments,
household appliances have significantly increased. This situation causes an ever-increasing …