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DBOS_US: a density-based graph under-sampling method to handle class imbalance and class overlap issues in software fault prediction
Improving software quality by predicting faults during the early stages of software development is a primary goal of software fault prediction (SFP)....
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Research and optimization of task scheduling algorithm based on heterogeneous multi-core processor
Heterogeneous multi-core processor has the ability to switch between different types of cores to perform tasks, which provides more space and...
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Advanced cost-aware Max–Min workflow tasks allocation and scheduling in cloud computing systems
Cloud computing has emerged as an efficient distribution platform in modern distributed computing offering scalability and flexibility. Task...
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Privacy-preserving algorithm based on vulnerable nodes for social relationships
In the contemporary era, online social networks have become the prevalent medium for interpersonal interactions, encompassing a multitude of virtual...
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Connecting the dots between stance and fake news detection with blockchain, proof of reputation, and the Hoeffding bound
Combating fake news is a crucial endeavor, yet the complexity of the task requires multifaceted approaches that transcend singular technological...
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Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing
The study focuses on utilizing the computational resources present in vehicles to enhance the performance of multi-access edge computing (MEC)...
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RAPTS: resource aware prioritized task scheduling technique in heterogeneous fog computing environment
The Internet of Things (IoT) is an emerging technology incorporating various hardware devices and software applications to exchange, analyze, and...
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A revolutionary approach to use convolutional spiking neural networks for robust intrusion detection
In an era dominated by network connectivity, the reliance on robust and secure networks has become paramount. With the advent of 5G and the Internet...
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A novel real-time object detection method for complex road scenes based on YOLOv7-tiny
Road object detection is a key technology in intelligent transportation systems, playing a crucial role in ensuring driving safety and enhancing...
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Semantic difference-based feature extraction technique for fake news detection
The rise of fake news presents a critical challenge to societal stability, emphasizing the urgent need for efficient detection systems. This study...
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Catch fish optimization algorithm: a new human behavior algorithm for solving clustering problems
This paper is inspired by traditional rural fishing methods and proposes a new metaheuristic optimization algorithm based on human behavior: Catch...
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Optimization of containerized application deployment in virtualized environments: a novel mathematical framework for resource-efficient and energy-aware server infrastructure
This study addresses the critical need for effective resource management through software container migration in cloud data centers. It emphasizes...
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HOGWO: a fog inspired optimized load balancing approach using hybridized grey wolf algorithm
A distributed archetype, the concept of fog computing relocates the storage, computation, and services closer to the network’s edge, where the data...
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Adaptive spatio-temporal graph convolutional network with attention mechanism for mobile edge network traffic prediction
In the current era of mobile edge networks, a significant challenge lies in overcoming the limitations posed by limited edge storage and...
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A cognitive effective framework for analysis, monitoring and identifying variant of coronavirus disease
Airborne diseases have contributed in an incredible way to increase worldwide morbidity and disability during the last few years. The omicron is an...
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Palindromes in involutive Fibonacci arrays
The combinatorial properties of Fibonacci words and arrays are now a popularly studied concept in formal language theory. One such property is the...
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An authentication mechanism based on blockchain for IoT environment
The Internet of Things (IoT) is a network where physical objects with unique addresses can connect and communicate with each other through the...
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On a model-free meta-heuristic approach for unconstrained optimization
The efficacy of meta-heuristic algorithms has been demonstrated in solving unconstrained optimization problems. Inspired by the food foraging...
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A hybrid northern goshawk optimization algorithm based on cluster collaboration
To address the problems that the northern goshawk optimization algorithm (NGO) has a slow convergence speed and is highly susceptible to fall into...
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Transforming future technology with quantum-based IoT
With the advent of internet-enabled and hybrid technologies, information is becoming increasingly accessible to the general public. Smartphones and...
