Information and engineering sciences | Online ISSN 3068-0115

Applied IT & Engineering

Descriptive Table of Contents


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*

pp. 1-8

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

  

Published online 12 February 2024

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

Arpon Roy1*

pp. 1-8

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

  

Data Analytics and Business Intelligence

Published online 06 May 2024
Manuscript-In-Press

Bridging IT and Business Strategy and The Impact of Data-Driven Analytics on Organizational Performance and Innovation

Anik Biswas1*, Ariful Islam2, Al Akhir2, Fahim Rahman3, Sonia Nashid4, Sonia Khan Papia5

pp. 1-8

This study demonstrates how data-driven analytics bridges IT and business strategy, enhancing organizational performance, efficiency, and innovation.

Abstract | Full Text | Open Access Article

  

Information Systems

Published online 23 September 2024
Manuscript-In-Press

The Role of Deep Learning and AI in Revolutionizing Business Analytics: Frameworks, Applications, and Managerial Implications

 Sonia Nashid1*, Sonia Khan Papia2, Ariful Islam3, Al Akhir3, Fahim Rahman4, Anik Biswas5

pp. 1-8

This study highlights how AI and deep learning revolutionize business analytics, enhancing decision-making, efficiency, and organizational competitiveness.

Abstract | Full Text | Open Access Article

  

Reviews

Public Health

Published online 28 March 2024

Machine Learning for Chronic Disease Predictive Analysis for Early Intervention and Personalized Care

Rabi Sankar Mondal 1*, Md Nazmul Alam Bhuiyan 1, Lamia Akter 2

pp. 1-11

This study demonstrated the potential of machine learning to revolutionize chronic disease care through early detection and the development of personalized treatment strategies.

Abstract | Full Text |PDF (812 KB) | Open Access Article

  


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Applied IT & Engineering