Zobrazeno 1 - 10
of 8 626
pro vyhledávání: '"Uddin, Md."'
Autor:
Uddin, Md. Kutub, Islam, Md. Saiful, Jahin, Md Abrar, Irfan, Md. Tanjid Hossen, Seam, Md. Saiful Islam, Mridha, M. F.
In the design of cellular manufacturing systems (CMS), numerous technological and managerial decisions must be made at both the design and operational stages. The first step in designing a CMS involves grouping parts and machines. In this paper, four
Externí odkaz:
http://arxiv.org/abs/2411.15361
This paper focuses on the generalized grouping problem in the context of cellular manufacturing systems (CMS), where parts may have more than one process route. A process route lists the machines corresponding to each part of the operation. Inspired
Externí odkaz:
http://arxiv.org/abs/2411.04685
Autor:
Quy, Vu Khanh, Quy, Nguyen Minh, Hoai, Tran Thi, Shaon, Shaba, Uddin, Md Raihan, Nguyen, Tien, Nguyen, Dinh C., Kaushik, Aryan, Chatzimisios, Periklis
6G wireless networks are expected to provide seamless and data-based connections that cover space-air-ground and underwater networks. As a core partition of future 6G networks, Space-Air-Ground Integrated Networks (SAGIN) have been envisioned to prov
Externí odkaz:
http://arxiv.org/abs/2411.01312
Smart metering networks are increasingly susceptible to cyber threats, where false data injection (FDI) appears as a critical attack. Data-driven-based machine learning (ML) methods have shown immense benefits in detecting FDI attacks via data learni
Externí odkaz:
http://arxiv.org/abs/2411.01313
Organizational success in todays competitive employment market depends on choosing the right staff. This work evaluates software engineer profiles using an automated staff selection method based on advanced natural language processing (NLP) technique
Externí odkaz:
http://arxiv.org/abs/2410.23365
Skin cancer is a serious and potentially fatal disease caused by DNA damage. Early detection significantly increases survival rates, making accurate diagnosis crucial. In this groundbreaking study, we present a hybrid framework based on Deep Learning
Externí odkaz:
http://arxiv.org/abs/2410.14489
Autor:
Khatun, Rabea, Tasnim, Wahia, Akter, Maksuda, Islam, Md Manowarul, Uddin, Md. Ashraf, Mahmud, Md. Zulfiker, Das, Saurav Chandra
Gallbladder cancer (GBC) is the most frequent cause of disease among biliary tract neoplasms. Identifying the molecular mechanisms and biomarkers linked to GBC progression has been a significant challenge in scientific research. Few recent studies ha
Externí odkaz:
http://arxiv.org/abs/2410.14433
Graph Neural Networks (GNNs) have revolutionized the domain of graph representation learning by utilizing neighborhood aggregation schemes in many popular architectures, such as message passing graph neural networks (MPGNNs). This scheme involves ite
Externí odkaz:
http://arxiv.org/abs/2410.02158
Federated learning (FL) is a popular approach that enables organizations to train machine learning models without compromising data privacy and security. As the field of FL continues to grow, it is crucial to have a thorough understanding of the topi
Externí odkaz:
http://arxiv.org/abs/2409.15773
Autor:
Shankar, Gauri, Uddin, Md Raihan, Mukta, Saddam, Kumar, Prabhat, Islam, Shareeful, Islam, A. K. M. Najmul
Blockchain technology is an emerging digital innovation that has gained immense popularity in enhancing individual security and privacy within Information Systems (IS). This surge in interest is reflected in the exponential increase in research artic
Externí odkaz:
http://arxiv.org/abs/2409.14472