UMT Artificial Intelligence Review

About the Journal

UMT Artificial Intelligence Review (UMT-AIR) is a double-blind peer-reviewed biannual journal that provides a wide variety of perspectives on the theory and practices of work in the realm of AI. We welcome research papers on foundational and applied work, as well as case studies. UMT-AIR also invites studies on critical analytical studies on AI applications, which present an in-depth evaluation of the AI tools and methods being employed.

Announcements

Call for Papers Volume 5 Issue 2 Spring 2025

2024-01-17

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Read more about Call for Papers Volume 5 Issue 2 Spring 2025

Greetings!

2023-10-17

Current Issue

Vol. 5 No. 1 (2025): Spring 2025

View Vol. 5 No. 1 (2025): Spring 2025

Published: 2025-06-25

Articles

Impact of Artificial Intelligence on the Efficiency of Human Resource Management Practices: A Human-centered Approach

Muhammad Rasheed, Dr. Muhammad Shahbaz, Dr. Muhammad Adnan Sial, Rida, Mushaf Ismail
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Mitigating Risks in Cloud Accounting: Strategies and Implications for Financial Institutions

Dr.Saiqa Anwaar, Ms.Remissa
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Roman Urdu to Urdu Machine Transliteration by Using T5 Transformer

Usama Ahmed, Muhammad Adeel, Hassan Masood, Mudassir Saeed, Usama Amjad
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An Intelligent Method for Improving Credit Card Fraud Detection Using a Hybrid LSTM and Deep Neural Network Framework

ANAM AHSAN, SANAA ASHIQ, MUHAMMAD JUNAID, SAJID IQBAL, IFTIKHAR AHMED KHAN, Ghulam Farooque
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- 1
Evaluation Evaluation of Search Engines Performance on Standardize Queries

Abubakar Kamal, Dr Sarah Bukhari, Umar Khattab, Ayesha Khan
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- 0

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