Intelligent perception and collaborative optimization decision of port logistics information based on RFID and IoT integration | International Journal of Metrology and Quality Engineering (IJMQE)

Open Access

Issue		Int. J. Metrol. Qual. Eng. Volume 17, 2026


Article Number		15
Number of page(s)		15
DOI		https://doi.org/10.1051/ijmqe/2026011
Published online		20 July 2026

M. Gonçalves, L. Teixeira, Decision support system for port terminals: design and development of a business intelligence tool, Procedia Comput. Sci. 253, 2438–2447 (2025) [Google Scholar]
R.G. Pereira, R.B. Lopes, L. Teixeira, Simulation to predict the behavior of a new seaport gate: an application in the Sines container terminal, Procedia Comput. Sci. 253, 2409–2418 (2025) [Google Scholar]
P.P. Groumpos, A critical historic overview of artificial intelligence: issues, challenges, opportunities, and threats, Artifi. Intell. Appl. 1, 197–213 (2023) [Google Scholar]
H. Yang, M. Zhao, L. Yuan, Y. Yu, Z. Li, M. Gu, Memory-efficient transformer-based network model for traveling salesman problem, Neural Netw. 161, 589–597 (2023) [Google Scholar]
B. Kannadasan, K. Yogeswari, ASCDNet: development of adaptive serial cascaded deep network and improved heuristic algorithm for smart transportation planning and traffic flow prediction, J. Ambient Intell. Humaniz. Comput. 16, 405–424 (2025) [Google Scholar]
L. Zhang, X. Zhang, M. Liu, Lightweight convolutional neural network for fast visual perception of storage location status in stereo warehouse, J. Intell. Manuf. 36, 3143–3163 (2025) [Google Scholar]
W. Wang, D. Shen, A. Bao, J. Shao, S. Sun, Intelligent factory perception ability using distributed knowledge graph, Int. J. Data Sci. 9, 203–221 (2024) [Google Scholar]
P. Qu, Design of supply chain logistics intelligent management information system based on GIS optimization model, Procedia Comput. Sci. 243, 396–405 (2024) [Google Scholar]
D. Zhang, Z. Jia, E-commerce logistics software package tracking and route planning and optimization system of embedded technology based on the intelligent er, IET Comput. Digit. Tech. 2024, 17–25 (2024) [Google Scholar]
L. Cai, Y. Yan, Z. Tang, A. Liu, Collaborative distribution optimization model and algorithm for an intelligent supply chain based on green computing energy management, Computing, 106, 2521–2539 (2024) [Google Scholar]
X. Peng, Smart library RFID security algorithm based on intelligent perception system, Procedia Comput. Sci. 247, 841–848 (2024) [Google Scholar]
H. Knapp, G. Romagnoli, RFID systems optimization through the use of a new RFID network planning algorithm to support the design of receiving gates, J. Intell. Manuf. 34, 1389–1407 (2023) [Google Scholar]
A. Shen, Design of internet of things service system for logistics engineering by using the blockchain technology, Int. J. Grid Util. Comput. 14, (2023). https://doi.org/182-190.10.1504/ijguc.2023.10056290 [Google Scholar]
S. Pan, J. Cheng, Cross-border E-commerce logistics optimization algorithm for collaboration between the internet of things and logistics, Scalable Comput.: Pract. Exp. 25, 2558–2566 (2024) [Google Scholar]
S. Liu, Application of the multi-objective model under the fuzzy differential equation to logistics operation of internet of things, Int. J. Grid Util. Comput. 14, 205–215 (2023) [Google Scholar]
S. Sarvade, V. Shirwal, P. Kugaonkar, K. Mudgonda, Optimizing railway signaling and platform management with LoRaWAN, RFID and automation technologies, Procedia Comput. Sci. 252, 557–566 (2025) [Google Scholar]
S.D. Sairam, D.S. Kumar, Fusion neural networks for high precision design and ultra-wideband shielding in frequency selective surfaces, IEEE Trans. Compon. Packag. Manuf. Technol. 15, 810–820 (2024) [Google Scholar]
N.T. Thong, N.V. Quyet, C.N. Giap, N.L. Giang, L.T.H. Lan, A complex fuzzy LSTM network for temporal-related forecasting problems, Comput. Mater. Continua, 80, 4173–4196 (2024) [Google Scholar]
H.M. Fadhil, Optimizing task scheduling and resource allocation in computing environments using metaheuristic methods, Fusion: Pract. Appl. 15, 157–179 (2024) [Google Scholar]
C. Yin, Q. Fang, H. Li, Y. Peng, X. Xu, D. Tang, An optimized resource scheduling algorithm based on GA and ACO algorithm in fog computing, J. Supercomput 80, 4248–4285 (2024) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.