Author

Nisha Arora

Observed institution: Guru Nanak Dev University

ORCID: 0000-0002-8666-2165

Observed ORCIDs: 0000-0002-8666-2165, 0009-0002-4699-4445, 0009-0004-1942-3895

OpenAlex ID: A5028836056

A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment

2019 · Nisha Arora, Pankaj Deep Kaur · Applied Soft Computing · 227

Augmenting Banking and FinTech with Intelligent Internet of Things Technology

2020 · Nisha Arora, Pankaj Deep Kaur · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · 11

Blockchain Empowered Framework for Peer to Peer Lending

2021 · Nisha Arora, Pankaj Deep Kaur · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · 7

Case-based reasoning induced optimized investment decision model for retail investors in peer-to-peer lending platforms

2026 · Nisha Arora, Pankaj Deep Kaur · Engineering Applications of Artificial Intelligence · 6

GeoCredit: a novel fog assisted IoT based framework for credit risk assessment with behaviour scoring and geodemographic analysis

2022 · Nisha Arora, Pankaj Deep Kaur · Journal of Ambient Intelligence and Humanized Computing · 4

The confluence of artificial intelligence and credit risk assessment-A scientometric analysis and research frontiers

2026 · Nisha Arora, Pankaj Deep Kaur · Technology in Society · 1

A comparative review on AI empowered CRA process of banking and P2P lending models

2026 · Nisha Arora, Pankaj Deep Kaur · Operational Research · 1

A Comprehensive Review of Federated Learning Applications in Healthcare

2026 · Nisha Arora · Journal of Advanced Research in Computer Graphics and Multimedia Technology

Machine Learning Algorithm for an Accurate Prediction of Sales of Monte Carlo Garments manufacture in Ludhiana District

2026 · Nisha Arora · Journal of Advanced Research in Data Structures Innovations and Computer Science

Works count: 9

Citation count: 257

H-index: 4

I10-index: 2