Authors : Md Anisur Rahman Chowdhury, Khandakar Rabbi Ahmed, Kefei Wang, Sabrina Mohona, Shahriar Alam Robin, Shah Tawkir Nesar
Publication date : 2025/11/20
Conference : 2025 9th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS)
Pages : 1-6
Publisher : IEEE
Description : Cloud computing and artificial intelligence (AI) are combining to create more intelligent, scalable, and adaptable platforms than traditional ERP systems. Despite managing essential corporate operations, traditional ERP systems frequently lack flexibility and real-time information. Cloud computing addresses scalability and infrastructure efficiency, while AI enables predictive insights and automation. Together, they form a robust foundation for modern enterprise systems. To enhance system efficiency, resource optimization, and intelligent decision-making in cloud-based ERP systems, this study presents a hybrid BiLSTMAttention model for evaluating ERP module relationships. In this work, a deep learning framework based on BiLSTM-Attention is presented for determining module relationships in ERP systems. The model incorporates both sequence dynamics and contextual relevance across ERP modules, aiming to …
Total citations : Cited by 18
Scholar articles :
MAR Chowdhury, KR Ahmed, K Wang, S Mohona… – 2025 9th International Conference on Computational …, 2025