Work

Prediction of Accounts Receivables for Customers Using Enhanced Machine Learning Models

Year: 2025

Type: conference-paper

Source: International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)

DOI: 10.1109/rmkmate64874.2025.11042411

Authors: Manju Paramasivan, M. Baskar

Institution: SRM Institute of Science and Technology

Language: English

Topic: Financial Distress and Bankruptcy Prediction

Subfield: Accounting

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4411640294

FWCI:

Cites: 14

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Related to: 10