The Journal of Supercomputing

The quality of software test data is assessed through mutation testing. This technique involves introducing various modifications (mutants) to the original code of the program. The test data’s effectiveness, known as the test score, is quantified ...

Railway signaling electromechanical devices (RSEDs) play a pivotal role in the railway industry. Normal wear and tear of these devices occur during day-and-night operation and even progressively develop into failures. Hence, it is imperative to ...${}^{\mathrm{}}$

The energy efficiency of wireless sensor networks (WSNs) as a key feature of the Internet of Things (IoT) and fifth-generation (5G) mobile networks is determined by several key characteristics, such as hop count, user’s location, allocated power, ...

Recently, Egypt has recognized the pivotal role of High Performance Computing in advancing science and innovation. Additionally, Egypt realizes the importance of collaboration between different institutions and universities to consolidate their ...

This paper proposes a novel optimization method inspired by radar technology: wave search algorithm (WSA). The WSA algorithm not only draws on radar technology for its unique algorithmic design for the first time but also uses a new initialization ...

Industrial internet of things (IIoT) is considered as large-scale IoT-based network comprising of sensors, communication channels, and security protocols used in Industry 4.0 for diverse real-time operations. Industrial IoT (IIoT) networks are ...

In this paper, we propose numerical methods for the Riesz space distributed-order advection–diffusion equation with delay in 2D. We utilize the fractional backward differential formula method of second order (FBDF2), and weighted and shifted ...${}^{\mathrm{}}{}^{\mathrm{}}{}^{\mathrm{}}{}^{\mathrm{}}{}^{\mathrm{}}$$$

Graphics processing units (GPUs) are the reference architecture to accelerate high-performance computing applications and the training/interference of convolutional neural networks. For both these domains, performance and reliability are two of ...$\mathrm{}$

The increasing availability of machines relying on non-GPU architectures, such as ARM A64FX in high-performance computing, provides a set of interesting challenges to application developers. In addition to requiring code portability across ...

Along with the significant growth of applications and facilities provided by the Internet of Things (IoT) in recent years, security challenges and related issues to privacy become considerable interest of researchers. On the other hand, the de ...

In this paper, we propose a novel protection scheme for N-qubit Greenberger–Horne–Zeilinger (GHZ) states against amplitude damping noise, using unilateral operations. The key innovation lies in the implementation of local operations on a single ...

Traditional camera sensors rely on human observation. However, in complex scenes, people often experience fatigue when observing objects of various sizes. Moreover, human cognitive abilities have inherent limitations, leading to potential judgment ...

A lot of current work based on convolutional neural networks (CNNs) has fetched good visual results on AWGN (additive white Gaussian noise) removal. However, ordinary neural networks are unable to recover detailed information for complex tasks, ...

Small infrared targets in complex backgrounds are easily obscured by a large amount of clutter, so highly discriminative features are needed to distinguish them from the cluttered background. Even if the expansion factor is increased, methods ...

Cloud computing has gradually become one of the most popular platforms for executing scientific applications due to its elastic and on-demand resource provisional capabilities. But, how to effectively schedule a set of parallel workflows to ...

A promising alternative for the CMOS technology is the Quantum-dot Cellular Automata (QCA) technology. In this technology, the low-latency, ultra-dense, and low-power consumption digital circuits are designed. Until now, many digital circuits are ...

In contemporary times, the proliferation of phishing attacks presents a substantial and growing challenge to cybersecurity. This fraudulent tactic is designed to deceive unsuspecting individuals, enticing them to access malicious websites and ...

Word embedding is a technique for representing words as vectors in a way that captures their semantic and syntactic relationships. The processing time of one of the most popular word embedding technique Word2vec is very large due to the huge data ...

Predictability is key for efficient and safe air traffic management. In particular, accurately estimating time of arrival for current passenger flights may help terminal controllers to plan ahead and optimize airport operations in terms of safety ...

Implicit neural networks and the related deep equilibrium models are investigated. To train these networks, the gradient of the corresponding loss function should be computed. Bypassing the implicit function theorem, we develop an explicit ...

Human pose estimation has important applications in medical diagnosis (such as early diagnosis of autism in children and assisting with the diagnosis of Parkinson’s disease), human-computer interaction, animation, and other fields. Currently, many ...

The need for high-quality healthcare services increases to more incredible speeds. Smart healthcare offers an ecosystem of IoT wireless networks, computers and software applications to enable medical tracking, mobility and emergency services ...

The analysis of node order structure in dynamic temporal networks is significant for network propagation control. To further accurately characterize the inter-layer coupling relationship of dynamic temporal networks, this paper firstly defines the ...

This paper proposes a new meta-heuristic optimization algorithm called Cleaner Fish Optimization algorithm (CFO) inspired by cleaner fish. The CFO simulates the movement behavior of cleaner fish when performing “cleaning services" and the behavior ...

Deep learning techniques have made significant advancements in computer vision. The YOLO algorithm, a representative single-stage detection approach, has demonstrated remarkable results in detecting ship targets in SAR images. We introduce an ...

Web crawler detection is critical for preventing unauthorized extraction of valuable information from websites. Current methods rely on heuristics, leading to time-consuming processes and inability to detect novel crawlers. Privacy protection and ...

The social internet of vehicle (SIoV) is a specialized network combining intelligent sensing devices and vehicular communications to address traffic monitoring and resource management challenges in smart cities. Ensuring efficient and sustainable ...

Hyperparameters optimization (HPO) is vital for machine learning models. Besides model accuracy, other tuning intentions such as model training time and energy consumption are also worthy of attention from data analytic service providers. ...

The prevention of forgery and alternation of important data of blockchain technology is contributing widely to the expanding usage of this technology to areas and industries such as real estate and agriculture. Despite the high utilization of the ...${}^{}$${}^{}$${}^{}$

The Internet of Things is a system of networked devices that can gather, process, and share data through the Internet. The Internet of Things has vast potential to spread widely across various aspects of our lives. The educational process model is ...