Author

Pardhu Thottempudi

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Open access Oct 2026

CognitiveCPQ: A Graph-Based Reinforcement Learning Framework for Autonomous Constraint-Aware Enterprise Deal Optimisation

Configure-Price-Quote (CPQ) systems are central to enterprise B2B sales execution, yet most deployments remain rule-based and deterministic, unable to learn from deal outcomes. This paper presents CognitiveCPQ, combining a Heterogeneous Constraint Graph (HCG) with Proximal Policy Optimisation (PPO) for autonomous, cons...

R. Soma, Pardhu Thottempudi · Applied Informatics · 0 citations

Open access Aug 2026

Automated identification and categorization of breast lesions in mammographic images using an AMFA-based SVM framework

Breast cancer is a major cause of cancer-related mortality among women, emphasizing the need for accurate and efficient computer-aided diagnosis. Existing deep learning approaches for mammographic analysis predominantly rely on single feature representations or conventional fusion strategies, limiting their ability t...

K. Manjusha, P. Amara, Mohammad Farukh Hashmi et al. · Scientific Reports · 0 citations