References
Akram, U. (2024, September 10). Exploring market entry strategies for pakistani exports in Germany. https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/5144
Al-Jarrah, O. Y., Yoo, P. D., Muhaidat, S., Karagiannidis, G. K., & Taha, K. (2015). Efficient Machine Learning for Big Data: a review. Big Data Research, 2(3), 87–93. https://doi.org/10.1016/j.bdr.2015.04.001
Babu, M. M., Akter, S., Rahman, M., Billah, M. M., & Hack-Polay, D. (2022e). The role of artificial intelligence in shaping the future of Agile fashion industry. Production Planning & Control, 35(15), 2084–2098. https://doi.org/10.1080/09537287.2022.2060858
Balasubramani, S., Aklin, H. R., Sabarishwaran, G. H., Sandeep, R., Sreeram, R., & Sureshbabu, Y. (2025, February). Design and fabrication of machine vision system for knitting machine. In AIP Conference Proceedings (Vol. 3204, No. 1). AIP Publishing.
Bidollahkhani, M., & Kunkel, J. M. (2024, April 20). Revolutionizing System reliability: The role of AI in predictive maintenance Strategies. arXiv.org. https://arxiv.org/abs/2404.13454
Biswas, P., Rashid, A., Biswas, A., Nasim, M. a. A., Chakraborty, S., Gupta, K. D., & George, R. (2024). AI-driven approaches for optimizing power consumption: a comprehensive survey. Discover Artificial Intelligence, 4(1). https://doi.org/10.1007/s44163-024-00211-7
Busari, M. (2025). AI and Machine Learning Algorithms for Predictive Supply Chain Management in Textile Manufacturing.
De Mattos, F. B., Eisenbraun, J., Kucera, D., & Rossi, A. (2021). Disruption in the apparel industry? Automation, employment and reshoring. International Labour Review, 160(4), 519–536. https://doi.org/10.1111/ilr.12213
Elena, M. (2020, December 9). Artificial intelligence in fashion?: how consumers and the fashion system are being impacted by AI-powered technologies. https://www.politesi.polimi.it/handle/10589/167521
George, A. S. (2024). Artificial Intelligence and the Future of Work: Job Shifting Not Job Loss. puirp.com. https://doi.org/10.5281/zenodo.10936490
Haider, M. Z. (2007). Competitiveness of the Bangladesh ready-made garment industry in major international markets. Asia-Pacific Trade and Investment Review, 3(1), 3-27.
Hussain, H. I., Haseeb, M., Kot, S., & Jermsittiparsert, K. (2020). Non-linear impact of textile and clothing manufacturing on economic growth: The case of top-Asian economies. Fibres & Textiles in Eastern Europe, (5 (143), 27-36.
Ingle, N., & Jasper, W. J. (2024). A review of deep learning and artificial intelligence in dyeing, printing and finishing. Textile Research Journal. https://doi.org/10.1177/00405175241268619
Ingle, N., & Jasper, W. J. (2025). A review of the evolution and concepts of deep learning and AI in the textile industry. Textile Research Journal. https://doi.org/10.1177/00405175241310632
Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2021). Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study. Journal of Industrial Integration and Management, 07(01), 83–111. https://doi.org/10.1142/s2424862221300040
Kalinin, A., Rudnik, R., Tsvetov, A., Bondarenko, K., & Shuranova, A. (2024). Emerging markets decoded 2024. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4862785
Khan, A., & Jalal, A. (2023). Supply Chain Optimization through Technology Integration: Riding the Digital Wave to Efficiency. Abbottabad University Journal of Business and Management Sciences, 1(01), 53-63.
Khan, M. A., Khan, H., Omer, M. F., Ullah, I., & Yasir, M. (2024). Impact of artificial intelligence on the global economy and technology advancements. In Advanced technologies and societal change (pp. 147–180). https://doi.org/10.1007/978-981-97-3222-7_7
Lee, J. (1995). Machine performance monitoring and proactive maintenance in computer-integrated manufacturing: review and perspective. International Journal of Computer Integrated Manufacturing, 8(5), 370–380. https://doi.org/10.1080/09511929508944664
Md Habibur Rahman, Tanjila Islam, Mohammad Hamid Hasan Amjad, Md Shihab Sadik Shovon, Md. Estehad Chowdhury, Md Rahatul Ashakin, Bayazid Hossain, Proshanta Kumar Bhowmik, Md Nurullah, Atiqur Rahman Sunny (2024). "Impact of Internet of Things (IoT) on Healthcare in Transforming Patient Care and Overcoming Operational Challenges", Journal of Angiotherapy, 8(11),1-8,10041. https://doi.org/10.25163/angiotherapy.81110041
Miller, T., Durlik, I., Kostecka, E., Kozlovska, P., Staude, M., & Sokolowska, S. (2025). The role of lightweight AI models in Supporting a Sustainable Transition to renewable Energy: A Systematic review. Energies, 18(5), 1192. https://doi.org/10.3390/en18051192
Mohan, T. R., Roselyn, J. P., Uthra, R. A., Devaraj, D., & Umachandran, K. (2021). Intelligent machine learning based total productive maintenance approach for achieving zero downtime in industrial machinery. Computers & Industrial Engineering, 157, 107267. https://doi.org/10.1016/j.cie.2021.107267
Orisadare, E. A., Achukwu, O. E., Ogunyemi, A. A., Adedeji, D. O., Diyaolu, I. J., Ugwu, E. I., Oluwatope, A. O., Bakare, K. O., & Awoyelu, I. O. (2025). Digitalisation and Green Strategies: A Systematic review of the textile, apparel and fashion industries. Circular Economy and Sustainability. https://doi.org/10.1007/s43615-025-00555-x
Ozek, A., Seckin, M., Demircioglu, P., & Bogrekci, I. (2025). Artificial Intelligence Driving Innovation in Textile Defect Detection. Textiles, 5(2), 12.
Rahman, M. H., Aunni, S. A. A., Ahmed, B., Rahman, M. M., Shabuj, M. M. H., Das, D. C., Akter, M. S., Numan, A. A. (2024). "Artificial intelligence for Improved Diagnosis and Treatment of Bacterial Infections", Microbial Bioactives, 7(1),1-18,10036. https://doi.org/10.25163/microbbioacts.7110036
Rahman, M. H., Biswash, M. A. R., Debnath, A., Siddique, M. A. B., Rahman, M. M., Rabbi, M. M. H., Mou, M. A. (2025). "The Future of AI in Laboratory Medicine: Advancing Diagnostics, Personalization, and Healthcare Innovation", Journal of Primeasia, 6(1),1-6,10151. https://doi.org/10.25163/primeasia.6110151
Rahman, M. H., Biswash, M. A. R., Siddique, M. A. B., Rahman, M. M., Mou, M. A., Debnath, A., Fatin, M. (2025). "Significance of Artificial intelligence in clinical and genomic diagnostics", Journal of Precision Biosciences, 7(1),1-14,10149. https://doi.org/10.25163/biosciences.7110149
Rahman, M. H., Islam, T., Hossen, M. E., Chowdhury, M. E., Hayat, R., Shovon, &. M. S. S., Shabbir, H. -. A. -., Alamgir, M., Akter, S., Chowdhury, R., Sunny, A. R. (2024). "Machine Learning in Healthcare: From Diagnostics to Personalized Medicine and Predictive Analytics", Journal of Angiotherapy, 8(12),1-8,10160. https://doi.org/10.25163/angiotherapy.81210160
Ramachandran Thampy Bindhu, V., & Kurumbadan Saseendran, A. (2024). AI REVOLUTIONIZING MANUFACTURING: CUTTING-EDGE ADVANCES: Redefining Manufacturing with Intelligent Solutions.
Rehman, M. M. U. (2024). Exploring the Link Between Artificial Intelligence and Circular Economy in the Fashion Industry: an example of Lennol Oy. Theseus. https://www.theseus.fi/handle/10024/865358
Rojas, L., Peña, Á., & Garcia, J. (2025). AI-Driven Predictive Maintenance in Mining: A systematic literature review on fault detection, digital twins, and intelligent asset management. Applied Sciences, 15(6), 3337. https://doi.org/10.3390/app15063337
Sikka, M. P., Sarkar, A., & Garg, S. (2024). Artificial intelligence (AI) in textile industry operational modernization. Research Journal of Textile and Apparel, 28(1), 67-83.
Taplin, I. M. (2014). Global commodity chains and fast fashion: How the Apparel industry continues to Re-Invent itself. Competition & Change, 18(3), 246–264. https://doi.org/10.1179/1024529414z.00000000059
Vangeri, A. K., Bathrinath, S., Anand, M. C. J., Shanmugathai, M., Meenatchi, N., & Boopathi, S. (2024). Green Supply Chain Management in Eco-Friendly Sustainable Manufacturing Industries. In Environmental Applications of Carbon-Based Materials (pp. 253-287). IGI Global.
Yilmaz, K., Aksu, I. Ö., Göçken, M., & Demirdelen, T. (2024). Sustainable Textile Manufacturing with Revolutionizing Textile Dyeing: Deep Learning-Based, for Energy Efficiency and Environmental-Impact Reduction, Pioneering Green Practices for a Sustainable Future. Sustainability, 16(18), 8152. https://doi.org/10.3390/su16188152