MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073637 A) filed by Sr University on June 13, 2026, for An Intelligent Computational Framework For Processing And Optimizing Large-Scale Multivariable And High-Dimensional Datasets.
Inventors include Page Asheervada; Dr. Jyoti; and Dr. J. Srinivas.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to an intelligent computational framework for processing and optimizing large-scale multivariable and high-dimensional datasets using advanced artificial intelligence and machine learning techniques. The framework is configured to acquire, preprocess, analyze, and optimize heterogeneous data obtained from enterprise databases, cloud infrastructures, sensor networks, Internet of Things devices, scientific repositories, and real-time streaming environments. A data acquisition module collects structured and unstructured information from multiple distributed sources, while a preprocessing engine performs data cleaning, normalization, anomaly detection, redundancy elimination, and feature standardization to improve analytical quality and computational efficiency. The framework further incorporates feature engineering and dimensionality reduction mechanisms configured to extract meaningful representations and reduce computational complexity while preserving predictive information. A hybrid machine learning engine integrates ensemble learning systems, deep neural networks, recurrent architectures, transformer-based models, and graph neural networks to identify hidden patterns, nonlinear relationships, temporal dependencies, and predictive correlations within high-dimensional datasets. Real-time analytics and explainable artificial intelligence modules generate transparent predictive insights, optimization recommendations, and anomaly alerts. The invention improves scalability, analytical accuracy, interpretability, computational performance, and intelligent decision- making across diverse industrial and scientific applications.
Disclaimer: Curated by HT Syndication.
