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Cost-effective clonal selection and AIS-based load balancing in cloud computing environment
Cloud computing faces challenges in increasing efficiency through task scheduling and load balancing. Various load-balancing methods, including the...
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Hyper star structure fault tolerance of half hypercube
The reliability of interconnection networks ordinarily is measured by all kinds of connectivities. The qualitative and quantitative analysis relies...
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Centrality-based and similarity-based neighborhood extension in graph neural networks
In recent years, Graph Neural Networks (GNNs) have become a key technique to address various graph-based machine learning tasks. Most of existing...
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DEKGCI: A double-ended recommendation model for integrating knowledge graph and user–item interaction graph
User–item bipartite graphs and knowledge graphs are frequently employed in recommender systems due to their ability to provide rich information for...
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Efficient MST-based clustering with leader node selection and outlier edge cutting
The clustering algorithm based on the minimum spanning tree (MST) can identify clusters of different shapes. However, the minimum spanning tree...
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Natural noise management in collaborative recommender systems over time-related information
Recommender systems are currently a suitable alternative for providing easy and appropriate access to information for users in today’s digital...
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An efficient quantum oblivious transfer protocol
Oblivious transfer (OT) is a significant two party privacy preserving cryptographic primitive. OT involves a sender having several pieces of...
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Multi-strategy improved sparrow search algorithm based on first definition of ellipse and group co-evolutionary mechanism for engineering optimization problems
The Sparrow Search Algorithm (SSA) is recognized for its rapid convergence and precision in engineering optimization, yet it faces the challenge of...
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An improved weighted mean of vectors optimizer for multi-threshold image segmentation: case study of breast cancer
Women are commonly diagnosed with breast cancer (BC), and early detection can significantly increase the cure rate. This study suggested a...
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Analysis of blockchain system based on \(BMAP/PH^{[b]}/1\) queueing model
In this modern era, the security and safety of financial and personal digital data are crucial considerations. Blockchain technology offers a secure...
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A hybrid multi-objective algorithm based on slime mould algorithm and sine cosine algorithm for overlap** community detection in social networks
In recent years, extensive studies have been carried out in community detection for social network analysis because it plays a crucial role in social...
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TruPro: a blockchain-based decentralised prosumer electricity trading platform for electrical vehicles (EVs)
Electric vehicles (EVs) have attracted significant attention in recent years primarily due to minimal adverse impact on the environment and...
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Leveraging large language model to generate a novel metaheuristic algorithm with CRISPE framework
In this paper, we introduce the large language model (LLM) ChatGPT-3.5 to automatically and intelligently generate a new metaheuristic algorithm (MA)...
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BACP-IeFC: designing blockchain-based access control protocol in IoT-enabled fog computing environment
The increasing number of edge layer devices connected to fog servers in fog computing environments has led to a rise in vulnerable and unauthorized...
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Subgraph matching-based reference placement for printed circuit board designs
Reference placement is promising to handle the increasing complexity in printed circuit board (PCB) designs, which aims to find the isomorphism of...
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Temporal patterns decomposition and Legendre projection for long-term time series forecasting
Long-term time series forecasting (LTSF) means utilizing historical data to forecast future sequences that are relatively distant in time, providing...
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A hybrid approach based on PUF and ML to protect MQTT based IoT system from DDoS attacks
IoT application uses MQTT, an application layer protocol that facilitates machine-to-machine communication using a central entity called broker. The...
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Improved V-detector algorithm based on bagging for earthquake prediction with faults
With the highly nonlinear relationship between various seismic feature indicators and earthquakes, the researchers can hardly construct an earthquake...
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Optimizing U-Net CNN performance: a comparative study of noise filtering techniques for enhanced thermal image analysis
Infrared thermal imaging presents a promising avenue for detecting physiological phenomena such as hot flushes in animals, presenting a non-invasive...
