Shivam Gupta
- Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities
2020/11/01 by Surajit Bag, Jan Ham Christiaan Pretorius, J.H.C. Pretorius +2 · 8 citations
Business, Management and Accounting · Engineering · #Big Data and Business Intelligence #Digital Transformation in Industry #Sustainable Supply Chain Management
- Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel
2024/06/03 by Shivam Gupta, Linda Cai, Gupta, Shivam +3 · 5 citations
Computer Science · Mathematics · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech and Audio Processing #Statistics Theory (math.ST) #Survey Sampling and Estimation Techniques
- Validating the impact of accounting disclosures on stock market: A deep neural network approach
2021/06/07 by Prajwal Eachempati, Praveen Ranjan Srivastava, Ajay Kumar +2 · 2 citations
Business, Management and Accounting · Economics, Econometrics and Finance · Decision Sciences · #Auditing, Earnings Management, Governance #Financial Markets and Investment Strategies #Stock Market Forecasting Methods
- Technology readiness of B2B firms and AI-based customer relationship management capability for enhancing social sustainability performance
2023/02/01 by Muhammad Sabbir Rahman, Surajit Bag, Shivam Gupta +1 · 1 citation
- Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design
2024/12/08 by Sakhinana Sagar Srinivas, Srinivas, Sakhinana Sagar, Akash Das +5 · 2 citations
Engineering · #Manufacturing Process and Optimization
- Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions
2024/07/05 by Shivam Gupta, Gupta, Shivam, Tarushi +4 · 1 citation
Computer Science · Social Sciences · #Privacy-Preserving Technologies in Data #Privacy, Security, and Data Protection