The Journal of Supercomputing

In recent years, as the basic medical science is improved, the prevention and treatment of bedsore have made great progress. However, from the incidence rate of bedsore worldwide, its downward trend is extremely weak, so the nursing of a bedsore ...

Cloud computing adopts virtualization technology, including migration and consolidation of virtual machines, to overcome resource utilization problems and minimize energy consumption. Most of the approaches have focused on minimizing the number of ...

Influence maximization (IM) problem, a fundamental algorithmic problem, is the problem of selecting a set of k users (refer as seed set) from a social network to maximize the expected number of influenced users (also known as influence spread). ...

Recognizing human activity from highly sparse body sensor data is becoming an important problem in Internet of Medical Things (IoMT) industry. As IoMT currently uses batteryless or passive wearable body sensors for activity recognition, the data ...

Recommender system is one of the most popular technique used for information filtering. It helps in discovering hidden knowledge patterns from a large set of ubiquitous products and services. The most popular approaches such as collaborative ...

With high-speed development of smart devices, abundant data are generated at the edge of the network. Edge computing has three characteristics: low response delay, high network traffic and low backhaul link pressure so as to process tons of data. ...

The integration of a Supercomputer in the educational process improves student’s technological skills. The aim of the paper is to study the interaction between science, technology, engineering, and mathematics (STEM) and non-...

Choosing a trusted cloud service provider (CSP) is a major challenge for cloud users (CUs) in the cloud environment, as many CSPs offer cloud services (CSs) with the same functionality. Trust evaluation of CSPs is often based on information from ...

This study aims at exploring the indigenous elders’ health literacy of chronic diseases, designing a fall prevention textbook needed for the cultural consistency of the ethnic group, and analyzing such elders’ performance of physical strength and ...

The distributed denial-of-service (DDoS) attack is a security challenge for the software-defined network (SDN). The different limitations of the existing DDoS detection methods include the dependency on the network topology, not being able to ...

Full waveform inversion (FWI) is a procedure used to determine the elastic parameters of the Earth by reducing the misfit between observed elastodynamic wavefields and their numerically modelled counterparts. The numerical solution of the ...

Models extending Amdahl’s law have been developed to study the behavior of parallel programs energy consumption. In addition, it has been shown that energy consumption of those programs also relies on the layout of the resources on the chip, such ...

With the success of deep learning (DL) methods in diverse application domains, several deep learning software frameworks have been proposed to facilitate the usage of these methods. By knowing the frameworks which are employed in big data analysis,...

Social internet of things (SIoT) is an emerging concept that enables the autonomous interactions between social networks and internet of things (IoT). Vehicle-to-grid (V2G) networks are one of the instances of the SIoT. To mitigate privacy and ...

This paper aims to extract optimal location for cultivating orange trees. In order to reach this goal, a combination of Dempster-Shafer theory (DST) and cloud computing is proposed. The DST method is applied to make weights for input parameters, ...

The demand for higher computing power increases and, as a result, also leads to an increased demand for services hosted in cloud computing environments. It is known, for example, that in 2018 more than 4 billion people made daily access to these ...

Children with autism spectrum disorders (ASDs) have some disturbance activities. Usually, they cannot speak fluently. Instead, they use gestures and pointing words to make a relationship. Hence, understanding their needs is one of the most ...

DNA methylation analysis has become an important topic in the study of human health. DNA methylation analysis requires not only a specific treatment of DNA samples based on bisulfite, but also software tools for their analysis. Although many ...

Soft robotics is a trending area of research that can revolutionize the use of robotics in industry 4.0 and cyber-physical systems including intelligent industrial systems and their interactions with the human. These robots have notable ...

In this paper, we propose a diagnosis and classification method of hydrocephalus computed tomography (CT) images using deep learning and image reconstruction methods. The proposed method constructs pathological features differing from the other ...

The rapid increase in the number of cores on chips forced the designers to invent new communication methods such as Network-on-Chip (NoC) paradigm. Advances in integrated circuit fabrications even allowed three-dimensional NoC (3D-NoC) ...

This article presents a new algorithmic approach for computational convergence verification of the Collatz problem. The main contribution of the paper is the replacement of huge precomputed tables containing $O(2^N)$ entries with small lookup tables ...$\mathrm{}{\mathrm{}}^{\mathrm{}}$$\mathrm{}{\mathrm{}}^{\mathrm{}}$

As the distributed computing systems have been widely used in many research and industrial areas, the problem of allocating tasks to available processors in the system efficiently has been an important concern. Since the problem is proven to be NP-...

Nowadays internet-based applications collect and distribute large datasets, which are mostly modeled by pertinent massive graphs. One solution to process such massive graphs is summarization. There are two kinds of graphs, stationary and stream. ...${}^{\mathrm{}}$${}^{\mathrm{}}$

The strength of many security protocols lies on the computational intractability of the integer factorization and discrete logarithm problems. Currently, the best-known techniques employed are number field sieve (NFS) family of algorithms. They ...

Quantum computing is a reality that presents challenges to computer engineering students and practitioners. It has been claimed that it is possible to effectively teach quantum computing to undergraduate students without a ...

Cloud computing is one of the most popular distributed environments, in which, multiple powerful and heterogeneous resources are used by different user applications. Task scheduling and resource provisioning are two important challenges of cloud ...

It is of great significance and practical application value to extract land-cover type accurately. However, the input data usually used in classification such as reflectance data or vegetation index are very simple and quantitative remote sensing ...

Feature selection is one of the significant steps in classification tasks. It is a pre-processing step to select a small subset of significant features that can contribute the most to the classification process. Presently, many metaheuristic ...

In order to reduce the loss of information of the majority class samples in the resampling process, combining the distribution of class samples and the characteristics of ensemble learning algorithm, in this paper, a two-level selective ensemble ...