M. Joy Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Student

Southern Arkansas University

faculty

8 h-index 19 pubs 391 cited

Research Areas

Big Data and Business Intelligence Advanced Neural Network Applications Healthcare Policy and Management Decision-Making and Behavioral Economics Network Security and Intrusion Detection Supply Chain Management AI in cancer detection

Links

ORCID

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OverviewAI-generated summary

M. Joy's research focuses on the application of big data analytics and machine learning across various domains, including enterprise financial management, healthcare systems, and supply chain operations. Their work explores how these technologies can optimize decision-making, improve disease detection, and manage risks associated with intellectual property.

Recent publications investigate the integration of machine learning for real-time disease detection in smart healthcare, AI-powered predictive analytics for intellectual property risk management in supply chains, and enhancing septic shock detection through interpretable machine learning. Additionally, their research touches upon the convergence of cloud security and strategic accounting for business sustainability and revolutionizing financial data management.

With an h-index of 8 and 391 citations across 19 publications, M. Joy is actively contributing to the fields of data science, artificial intelligence, and their practical applications. Their recent publications all date to 2024, indicating current productivity.

Metrics

  • h-index: 8
  • Publications: 19
  • Citations: 391

Selected Publications

  • AI-Powered Predictive Analytics For Intellectual Property Risk Management In Supply Chain Operations: A Big Data Approach (2024) DOI
  • AI-POWERED PREDICTIVE ANALYTICS FOR INTELLECTUAL PROPERTY RISK MANAGEMENT IN SUPPLY CHAIN OPERATIONS: A BIG DATA APPROACH (2024) DOI
  • DATA-DRIVEN TRANSFORMATION: OPTIMIZING ENTERPRISE FINANCIAL MANAGEMENT AND DECISION-MAKING WITH BIG DATA (2024) DOI
  • None (2024) DOI
  • INTEGRATING MACHINE LEARNING AND BIG DATA ANALYTICS FOR REAL-TIME DISEASE DETECTION IN SMART HEALTHCARE SYSTEMS (2024) DOI
  • REVOLUTIONISING FINANCIAL DATA MANAGEMENT: THE CONVERGENCE OF CLOUD SECURITY AND STRATEGIC ACCOUNTING IN BUSINESS SUSTAINABILITY (2024) DOI

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