The Journal of Supercomputing

Bleacher usually carries a large number of people, and their safety and stability are critical. Structure damage diagnosis of bleacher can find problems and repair them in time to ensure the safety of personnel. Based on Densely Connected ...

Securing confidential data against unauthorized users leads to access control policies with the rapid progression of Internet of Things (IoT) devices. Because of high mobility subscribers, the dynamic IoT environment is subjected to high signaling ...

Internet of Medical Things (IoMT) can be leveraged for periodic sensing and recording of different health parameters using sensors, wireless communications, and computation platforms. Health care systems can be enhanced by using IoMT for remote ...

To address the current challenge of smart devices in healthcare Internet of things (IoT) struggling to efficiently process intensive applications in real-time, a collaborative cloud-edge offloading model tailored for ultra-dense edge computing (...

Clustering is a popular data analysis technique that can explore the structure of data through cluster analysis. Similar data are put into the same cluster, while dissimilar data allocate to other clusters. The similarity/dissimilarity among data ...

Depression detection on social media aims to analyze users’ tendency to depression and provide help for the early detection of depressed users. However, most previous research focusses on diagnoses using the binary classification of the English ...

With the development of scalability and applications in many interconnection networks used for large-scale parallel computing, link failures are inevitable. Once fault-free processors are guaranteed to lie in specific undamaged subnetworks, the ...${}_{}$${}_{}$${}_{}$${}_{}$${}_{}^{}{}_{}$${}_{}$${}_{}$${}_{}$$\mathrm{}$$\mathrm{}\mathrm{}$$\mathrm{}\mathrm{}$$\mathrm{}$$\mathrm{}$${}_{}^{}{}_{}\mathrm{}{\mathrm{}}^{}$$$${}_{}^{}{}_{}{\mathrm{}}^{}$$\mathrm{}\mathrm{}$${\mathrm{}}^{\mathrm{}}$$\mathrm{}$${}_{}$$\mathrm{}$

In e-commerce recommender systems, the sparsity of user-item rating data limits the quality of semantic embedding representation of users and items, which affects the accuracy of rating prediction. Previous studies have focused on learning ...

Function-as-a-service has reduced the user burden by allowing cloud service providers to overtake operational activities such as resource allocation, service deployment, auto-scaling, and load-balancing, to name a few. The users are only ...$$

An independent set is a set of vertices in a graph in which no two vertices are adjacent to each other. The maximum weighted independent set is the independent set with the largest sum of weights in a weighted graph. Considering that existing ...

The devices deployed across diverse industrial scenarios have generated significant network traffic related to time. The system’s irregular operation could result in substantial bad influence. Anomaly detection technologies utilized for ...

The key issue of medical data is patient information sensitivity and dataset finiteness, which need to guarantee high-efficient training. Besides, the current convolutional neural network has a low image classification and poor robustness ...

Recently, unmanned aerial vehicles (UAVs) have been widely used in mobile edge computing (MEC) scenarios due to their flexibility, rapid deployment, and ability to expand communication coverage. This paper explores how UAVs can compute offloading ...

Federated learning (FL) is a collaborative artificial intelligence (AI) approach that enables distributed training of AI models without data sharing, thereby promoting privacy by design. However, it is essential to acknowledge that FL only offers ...

Research on resource management focuses on optimizing system performance and energy efficiency by distributing shared resources like processor cores, caches, and main memory among competing applications. This research spans a wide range of ...

Distributed model training is made possible by federated learning on various computing nodes, and compute nodes can submit model updates individually while preserving data privacy and avoiding the need to share raw user data. Unmanned Aerial ...

The sparse triangular solver (SpTRSV) is mostly used for scientific and engineering applications. The structured-grid triangular solver of regular dependencies (STRSV) is a special kind of SpTRSV. Some general SpTRSVs that disregards the ...

An auction mechanism is an effective way to allocate resources through market behavior. However, in existing studies, most auction mechanisms are designed based on the maximization of social welfare, and there are few studies on potential revenue. ...

Indoor positioning is crucial for everyday life, and received signal strength-based fingerprint localization is the most effective method. However, updating the fingerprint database is laborious, as changes in indoor layout would render the ...

Accurately predicting the future trajectory of pedestrians is critical for tasks such as autonomous driving and robot navigation. Previous methods for pedestrian trajectory prediction dealt with social interaction and pedestrian movement factors ...

This paper proposes a novel method for robot navigation in high-dimensional environments that reduce the dimension of the state space using local and soft feature selection. The algorithm selects relevant features based on local correlations ...

Single-solution-based optimization algorithms are computationally cheap yet powerful methods that can be used on various optimization tasks at minimal processing expenses. However, there is a considerable shortage of research in this domain, ...

Taking a lot of time to solve optimization problems has become a challenge for metaheuristic algorithms. Due to independence of the metaheuristics components, parallel processing is a good option to reduce the computational time and to find high ...

This paper proposes a novel approach to routing architecture based on the Session–Cookie protocol. The proposed architecture performs service discovery by integrating IoTs geographic clustering technique and polymorphism mechanism. Prioritizing ...

Solving combinatorial optimization problems (COPs) poses a significant challenge in various application domains. The NP-hardness of many COPs necessitates the integration of meta-heuristics to effectively tackle these problems by leveraging the ...

We present a new limited environmental information path planning procedure (IEIPPP) that finds collision-free paths without prior knowledge of feasible paths or obstacle locations by analyzing an image set of the area of interest. IEIPPP uses ...

Monitoring battery health is critical for electric vehicle maintenance and safety. However, existing research has limited focus on predicting capacity degradation paths for entire battery packs, representing a gap between literature and ...

Nowadays, establishing security in data transmission is essential, and it is achieved by cryptography. Encryption of still or video images in specific applications such as Internet of Things, medical and satellite imaging, in applications ...$\mathrm{}\mathrm{}$

With the proliferation of the Internet of Things and smart devices, there exists an urge to address the critical computation demands of end users for several real-time applications. Fog computing (FC) targets to address the computation ...

In this paper, a novel high-speed and energy-efficient 4–2 compressor cell is proposed using carbon nanotube field-effect transistors. The proposed compressor is realized efficiently based on NAND–NOR gates and multiplexers. To estimate the ...