MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085235 A) filed by Cmr Technical Campus; Cmr College Of Engineering & Technology; and Cmr Institute Of Technology on July 11, 2026, for Causality-Constrained Data Pipeline With Real-Time Intervention Simulation And Adaptive Feature Recomposition For Robust Predictive Modeling.
Inventors include M. Sivajyothi; Bushra Tarannum; Ms. N. Neha; Ms. B. Teja; Pondugula Kiran Kumar; and Maheedhar Vara Prasad.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: A system (100) and method for causality-constrained predictive modeling with real-time intervention simulation and adaptive feature recomposition are disclosed. The system (100) comprises a memory (102), a processor (104), a communication module (106), a data ingestion and normalization module (108), a causal relationship identification module (110), an intervention simulation module (112), an adaptive feature recomposition module (114), and a predictive modeling module (116). The data ingestion and normalization module (108) acquires and processes heterogeneous input data from one or more sources. The causal relationship identification module (110) determines causal dependencies among variables to distinguish causal influences from statistical correlations. The intervention simulation module (112) generates hypothetical intervention scenarios to estimate predictive outcomes under modified operating conditions. The adaptive feature recomposition module (114) dynamically updates feature representations responsive to causal variations. The predictive modeling module (116) generates predictive outputs while preserving causality constraints, thereby improving robustness, adaptability, predictive stability, and resilience against spurious correlations and changing data distributions.
Disclaimer: Curated by HT Syndication.
