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This paper proposes a delay and energy-aware clustering-based client selection scheme for federated learning in vehicular networks. We propose an algorithm that selects the appropriate number of vehicles for local training, minimizing delay and energy ...

Effective data management is crucial in navigating any health crisis. With proper data management protocols in place, stakeholders can swiftly adapt to evolving circumstances during challenging times. A recent event like the COVID‐19 pandemic ...

The authors proposed an innovative blockchain‐enabled scalable data management scheme for navigating global health crises. To handle the massive growth of health data efficiently and cost‐effectively, the proposed scheme divides the blockchain nodes into ...

We propose a dynamic multi-objective optimization algorithm for visualizing and clustering topological features of decision space variables. It maps all the obtained historical optimal solutions to the two-dimensional space through t-SNE, clusters the ...

The TSP problem of global route planning, global drone shooting, global express industry transportation, global airline flight route design and global travel and so on all have a great influence and promotion role. In order to solve the problem of slow ...

Exploiting parallelism to train deep learning models requires GPUs to cooperate through collective communication primitives. While systems like DGX, equipped with proprietary interconnects, have been extensively studied, the systems where GPUs mainly ...

The critical node detection(CND) is to identify one node-set, whose removal can minimize a predefined measure of network connectivity of the residual network. There are significant applications in many fields for CND, however, the CND is still ...

Identifying the misconceptions of novice programmers is pertinent for informing instructors of the challenges faced by their students in learning computer programming. In the current literature, custom tools, test scripts were developed and, in most ...

Language models such as Bidirectional Encoder Representations from Transformers (BERT) have been very effective in various Natural Language Processing (NLP) and text mining tasks including text classification. However, some tasks still pose challenges ...

To ensure the integration of the economic interests of the participants of network formations through the improvement of the coordination and controllability of interactions, an important place is given to the accounting system as the main source of ...

In order to solve the problems of low accuracy, long time and high cost in traditional decision-making methods, an assisted decision-making method for conditional maintenance of distribution network equipment based on multi-task deep learning is ...

The importance of intelligence transportation system is increasing as it improves road safety and efficacy by means of vehicular ad hoc networks (VANET). The nodes in VANET are intelligent machines that can communicate with each other. Due to high ...

The possibilities of increasing the readiness of fault-tolerant cluster systems for the timely execution of functional requests are investigated. Duplicated systems containing two computers and two two-input memory nodes are considered as cluster ...

Workflows is a popular model for computational and data processing applications in science and technology. Such applications are structured as a graph of tasks that run in distributed computing environments such as clusters, grids, and clouds. The ...

As Edge and Cloud platforms increasingly become the basis for hosting applications, monitoring systems need to be able to monitor both the hosts and the deployed applications. Ensuring seamless monitoring of Edge hosts is the most crucial factor, ...

Scientists, engineers, and researchers leverage high-performance computing (HPC) systems to perform complex computations and process large amounts of data. Designing, developing, and operating HPC systems have a steep learning curve, thus making it ...

The possibility of constructing a multi-position direction finding system for the case of a priori uncertainty, based on the application of the principles of multiplication of single marks of the location of the emitting target (multistructure ...

In the era of Big Data, more and more IoT devices are generating huge amounts of high-dimensional, real-time and dynamic data streams. As a result, there is a growing interest in how to cluster this data effectively and efficiently. Although a number ...

MANET is an autonomous wireless network without any centralized authority, consisting of a dynamic topology with a multi-hop scenario. Clustering provides centralized authority within MANET and makes the network stable up to some extent. Security ...

Person re-identification (Re-ID) has achieved great success in single-domain. However, it remains a challenging task to adapt a Re-ID model trained on one dataset to another one. Unsupervised domain adaption (UDA) was proposed to migrate a model from a ...

One of the main objectives of smart transport systems is to improve road safety. Ad hoc vehicle networks use vehicle accident alert systems that broadcast crashes to vehicles. Reliable and timely receipt of messages are two of the main intents for the ...