Causal aware parameterized quantum stochastic gradient descent for analyzing marketing advertisements and sales forecasting. - Manoranjan Gandhudi; G. R. Gangadharan; P. J. A. Alphonse; Velayudham Ganesan; Leeladhar Nagineni (Inf. Process. Manag., 2023)

Explainable hybrid quantum neural networks for analyzing the influence of tweets on stock price prediction. - Manoranjan Gandhudi; Alphonse P. J. A.; Ugo Fiore; G. R. Gangadharan (Comput. Electr. Eng., 2024)

Explainable causal variational autoencoders based equivariant graph neural networks for analyzing the consumer purchase behavior in E-commerce. - Manoranjan Gandhudi; Alphonse P. J. A.; Padmavathy Velayudham; Leeladhar Nagineni; G. R. Gangadharan (Eng. Appl. Artif. Intell., 2024)

Dynamic customer behavior prediction in subscription services using causal reinforcement learning. - Manoranjan Gandhudi; Alphonse P. J. A.; Vasanth Velayudham; Leeladhar Nagineni; G. R. Gangadharan (Eng. Appl. Artif. Intell., 2025)

VWFTS-PSO: a novel method for time series forecasting using variational weighted fuzzy time series and particle swarm optimization. - Ganesh Didugu; Manoranjan Gandhudi; P. J. A. Alphonse; G. R. Gangadharan (Int. J. Gen. Syst., 2025)