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Employing topology modification strategies in scale-free IoT networks for robustness optimization
Nowadays, the Internet of Things (IoT) networks provide benefits to humans in numerous domains by empowering the projects of smart cities,...
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Uncertainty QoS-aware services composition: a systematic literature review for services community
With the increasing number of services and the massive data generated by the Web, a lot of services that have similar functionalities but different...
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Preference based multi-issue negotiation algorithm (PMINA) for fog resource allocation
Fog computing has emerged as a decentralized computing paradigm that extends cloud services to the network edge, enabling faster data processing and...
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Time-sensitive propagation values discount centrality measure
The detection of influential individuals in social networks is called influence maximization which has many applications in advertising and...
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Cloud data center cost management using virtual machine consolidation with an improved artificial feeding birds algorithm
Cloud data centers face various challenges, such as high energy consumption, environmental impact, and quality of service (QoS) requirements. Dynamic...
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Towards automating microservices orchestration through data-driven evolutionary architectures
This paper briefly outlines current literature on evolutionary architectures and current links with microservices orchestration and data integration....
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Many-BSP: an analytical performance model for CUDA kernels
The unknown behavior of GPUs and the differing characteristics among their generations present a serious challenge in the analysis and optimization...
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Enhancing sine cosine algorithm based on social learning and elite opposition-based learning
In recent years, Sine Cosine Algorithm (SCA) is a kind of meta-heuristic optimization algorithm with simple structure, simple parameters and...
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A multi-objective crow search algorithm for optimizing makespan and costs in scientific cloud workflows (CSAMOMC)
Nowadays, with the rapid expansion of cloud computing technology in processing Internet of Things (IoT) workloads, the demand for data centers has...
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Electricity-cost-aware multi-workflow scheduling in heterogeneous cloud
Multi-workflows are commonly deployed on cloud platforms to achieve efficient computational power. Diverse task configuration requirements, the...
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FuEPRe: a fusing embedding method with attention for post recommendation
Post recommendations refer to finding solutions related to a user’s problem on QA websites to help them solve their problems. However, finding the...
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SVFLDetector: a decentralized client detection method for Byzantine problem in vertical federated learning
In recent years, with the deepening of cross-industry cooperation, vertical federated learning with multiple overlap** samples and fewer...
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A comparative study of LSTM-ED architectures in forecasting day-ahead solar photovoltaic energy using Weather Data
Solar photovoltaic (PV) energy, with its clean, local, and renewable features, is an effective complement to traditional energy sources today....
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Exploring the technology acceptance of digital banking services in Malaysia with UTAUT model
Digital Banks assumed a critical role in the digital economy in providing fully digitalised services to cover underserved and unserved markets....
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LGAT: a light graph attention network focusing on message passing for semi-supervised node classification
Deep learning has shown superior performance in various applications. The emergence of graph convolution neural networks (GCNs) enables deep learning...
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Efficient processing of all neighboring object group queries with budget range constraint in road networks
We present a new type of location-based queries, namely the Budget Range-based All Neighboring Object Group Query ( BR - ANOGQ for short), to offer...
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Edge data distribution as a network Steiner tree estimation in edge computing
Many modern day cloud hosted applications such as virtual reality, real time games require low latency data access and computation to improve...
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A dietary management recommendation model based on analytic hierarchy process and multi-objective programming for regular out-diners in Taiwan
This academic paper delves into the intricacies of dining out and dietary management, aiming to provide an effective solution to the multifaceted...
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Solving the SAT problem with the string multiset rewriting calculus
In this paper, we develop computing machinery within the framework of the String Multiset Rewriting calculus (SMSR), as defined by Barbuti et al. [
4 ],...