Vikrant S. KAULGUD

ENERGY USAGE DETERMINATION FOR MACHINE LEARNING

UTILIZING NATURAL LANGUAGE PROCESSING SIMILARITY MATCHING TO DETERMINE WHETHER A PROBLEM REQUIRES QUANTUM COMPUTING OR CLASSICAL COMPUTING

Utilizing models to generate identifiers that identify and provide authentication for machine learning models

Blockchain based digital identity generation and verification

Platform for evaluating and recommending process automations

Representing a software application using extended reality

Software assurance and trust in a distributed delivery environment

Using natural language processing and similarity analysis techniques to select a best-fit automation service

Automated inference of evidence from log information

System for development of IoT system architecture

Data processor for integrating agile development projects into an end-to-end development platform

Adaptive architecture for a mobile application based on rich application, process, and resource contexts and deployed in resource constrained environments

Automatic assistance for resource reuse based on context extracted from a user workspace