47 citations · 48 across the 4 of their papers we have counts for
5 papers
A Differentially Private Federated Proximal Optimization Framework for Customer Churn Prediction in Heterogeneous Federated Telecom Networks
Joydeb Kumar Sana, Subrata Chakraborty, M M Manjurul Islam
Customer churn is one of the major issues in the telecommunication industry. To predict customer churn, conventional centralized machine learning approaches have been widely used.…
Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics
ASM Nazrul Islam, Md. Hasanul Kabir, Md. Liakot Ali +1
Accurate short-term demand forecasting is crucial to airline revenue management, yet most existing systems fail to meet this need because current models treat booking data as a sin…
Class-Aware Adaptive Differential Privacy in Deep Learning for Sensor-Based Fall Detection
Joydeb Kumar Sana
Fall detection is a critical task in healthcare, particularly for elderly people. Timely fall detection and treatment can prevent severe injuries. Sensor-based activity data can be…
Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry
Joydeb Kumar Sana, M Sohel Rahman, M Saifur Rahman
Data is the main fuel of a successful machine learning model. A dataset may contain sensitive individual records e.g. personal health records, financial data, industrial informatio…
Data transformation based optimized customer churn prediction model for the telecommunication industry
Joydeb Kumar Sana, Mohammad Zoynul Abedin, M. Sohel Rahman +1
Data transformation (DT) is a process that transfers the original data into a form which supports a particular classification algorithm and helps to analyze the data for a special…