Applied IT & Engineering

Information and engineering sciences | Online ISSN 3068-0115
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Articles

Applied IT & Engineering

Applied IT & Engineering is an international, open access, peer-reviewed journal that publishes: Original Research; Reviews; Hypothesis formation and commentaries in the fields

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Editor-in-Chief: Binbin Cui, Ph.D., C.P.A.

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Article

Applied IT & Engineering

Volume 3 Number 1 2025

Table of Contents


Research Article

Business Studies

Research Article | Business Studies
Published online 10 March 2024

Artificial Intelligence in Advanced Manufacturing: Opportunities, Applications, and Challenges in the Context of Bangladesh

Arpon Roy1*

Applied IT & Engineering
Views: 2363 | Downloads: 81

This study identifies actionable strategies to advance AI integration in Bangladesh’s manufacturing, supporting the Smart Bangladesh 2041 digital transformation agenda.

Abstract | Full Text |PDF (428 KB) | Open Access Article


Research Article | Business Studies
Published online 12 February 2024

Fashion Innovation Driven by AI: Transforming Design, Manufacturing, and Customer Experience

Arpon Roy1*

Applied IT & Engineering
Views: 2229 | Downloads: 209

The study offers insights into the role of AI as a transformation agent for enhancing sustainability, efficiency, and consumer engagement in the fashion industry in Bangladesh.

Abstract | Full Text |PDF (452 KB) | Open Access Article


Reviews

Business Studies

Reviews | Business Studies
Published online 18 June 2025

AI-Driven Quality Control in Manufacturing and Construction: Enhancing Precision and Reducing Human Error

Md Morshedul Hasan1*, Mohammad Kasedullah2, Md. Baki Billah Ripon3, Md Miraj Hossen Khan4

Applied IT & Engineering
Views: 4321 | Downloads: 229

AI ensures consistency, accuracy, and safety in quality control for complex manufacturing and construction environments through real-time data analysis.

Abstract | Full Text |PDF (398 KB) | Open Access Article


Reviews | Business Studies
Published online 22 January 2025

Autonomous Systems Engineering: AI at the Core of Smart Machines

Md Habibur Rahman1*, K. M. Sadat Samin2

Applied IT & Engineering
Views: 827 | Downloads: 17

AI-centric autonomous systems redefine automation, enhancing machine intelligence and decision-making across critical sectors like transport, defense, and manufacturing.

Abstract | Full Text |PDF (363 KB) | Open Access Article


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