2 天前 - … of our approach in enhancing the security and cryptoagility of DDS-based systems.
… Our findings suggest that the integration process closely mirrors that of TLS/DTLS, indicating …

3 天前 - … traffic system by developing intelligent traffic control strategies, real-time vehicle
guidance, and appropriate demand management … Both methods were proven to be effective in …

3 天前 - … One of the methods for distributing resources among network slices may not be …
of the required data transfer rates but aims for fairness concerning the data transmission delays. …

6 天前 - … Create traffic models that take into account the characteristics of the vehicles. An
approach for labeling route segmentation data that exhibits distinct labels for each fragment or …

7 天前 - … on energy models for data communication. It is used to develop … systems from the
adaptive natural process system. It is an effective technique to machine learning systems and …

7 天前 - … In this way, even if it is intercepted during the transmission process, the … data
transmission process., authenticity to identify, so as to ensure the integrity and reliability of the data. …

7 天前 - … In this paper, we delve into the architecture, capabilities, and potential … traffic
management. We explore how deep learning techniques, such as convolutional neural networks (…

8 天前 - … , intelligent traffic management is a method of controlling traffic … traffic flow, intelligent
traffic management systems collect … of the data transfer process using the MPO algorithm. …

9 天前 - … networks to enhance communication within PT networks, addressing issues of timetable
accuracy, route management… Through continuous data transmission fromvehicles to the …

10 天前 - … data transfer, even in intricate IoT settings with a large number of networked devices.
AI technology can improve IoT network … and usage during the manufacturing process. This …