A modular pipeline design combining lightweight edge processing, efficient data streaming, and cloud-based model orchestration is proposed that enables real-time predictive maintenance at the edge and demonstrates significant improvements in latency reduction, system scalability, and fault prediction accuracy.
S. Rahman, Kenji Sato· International Journal of Dat...· 0 citations
A systematic investigation of the document classification frameworks using deep learning models is offered that analyzes background information, architectural design, learning process and optimization plans, and evaluates the advantages and weaknesses of the different deep learning methods in processing long texts, mul...
S. Rahman· International Journal of App...· 0 citations
This paper investigates methodologies to enhance distributed architectures for the efficient deployment and management of ML models in real-time environments, and proposes solutions leveraging edge computing, federated learning, and dynamic orchestration.
S. Rahman· International Journal of Art...· 0 citations
The paper proposes a structured implementation approach covering data collection, preprocessing, model development, deployment, and continuous optimization, supported by a flow-based architecture, which shows that organizations adopting AI-enabled platforms achieve up to 45% improvement in operational efficiency and a...
S. Rahman· International Journal of Art...· 0 citations
Experimental evaluation on open-source and industrial projects demonstrates that the proposed GNN model outperforms conventional static analysis and machine learning baselines in predicting architectural deviations, detecting anomalous dependency formations, and flagging early indicators of structural degradation.
S. Rahman· International Journal of Art...· 0 citations
The analysis of performance has shown that the proposed solution is much better in terms of throughput, latency and fault isolation than the conventional architectures, proving that microservices architecture with proper design presents a solid base of scalable data-intensive systems.
S. Rahman· International Journal of App...· 0 citations
This paper explores various deployment models of edge AI tailored for real-time industrial automation feedback systems, and analyses on-device, edge gateway, and hybrid edge-cloud approaches, discussing their architectures, benefits, limitations, and real-world applicability.
Fatima Noor, S. Rahman· International Journal of Mac...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
