Author

M. Ajmal

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Open access Oct 2026

Leveraging Causality to Enhance Drought Forecasting With Deep Learning Models

This study aims to improve the interpretability and efficacy of drought forecasting by integrating causality into the Long Short‐Term Memory (LSTM) structure. The proposed causal‐LSTM structure dynamically adjusts input weights based on identified causal relationships, tailored to the diverse climatic regions of Paki...

Muhammad Waseem, A. H. Jaffry, Jia-Qing Xiao et al. · Hydrological Processes · 0 citations

Open access Jul 2026

Dynamic Customer Equity Optimization: A Reinforcement Learning Framework for Sequential Marketing Decision-Making in Volatile Markets

It is argued that dynamic customer equity optimization is a paradigm shift; instead of reactive, campaign-based marketing, dynamic customer equity optimization is proactive, relationship-oriented value co-creation.

P. Khan, Muhammad Junaid, M. Ajmal et al. · International Journal of Bus... · 0 citations