In medical question-answering, traditional knowledge triples often fail due to superfluous data and their inability to capture complex relationships between symptoms and treatments across diseases. This limits models&...
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Comprehending the dynamics of disease or information diffusion requires influential node detection in complex networks. Numerous centrality measures were developed for calculating the spreading capacity of a node. How...
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In the rapidly evolving landscape of cyber threats, phishing continues to be a prominent vector for cyberattacks, posing significant risks to individuals, organizations and information systems. This letter delves into...
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Recent advancements in satellite technologies have resulted in the emergence of Remote Sensing (RS) images. Hence, the primary imperative research domain is designing a precise retrieval model for retrieving the most ...
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The increasing use of cloud-based image storage and retrieval systems has made ensuring security and efficiency crucial. The security enhancement of image retrieval and image archival in cloud computing has received c...
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The increasing use of cloud-based image storage and retrieval systems has made ensuring security and efficiency crucial. The security enhancement of image retrieval and image archival in cloud computing has received considerable attention in transmitting data and ensuring data confidentiality among cloud servers and users. Various traditional image retrieval techniques regarding security have developed in recent years but they do not apply to large-scale environments. This paper introduces a new approach called Triple network-based adaptive grey wolf (TN-AGW) to address these challenges. The TN-AGW framework combines the adaptability of the Grey Wolf Optimization (GWO) algorithm with the resilience of Triple Network (TN) to enhance image retrieval in cloud servers while maintaining robust security measures. By using adaptive mechanisms, TN-AGW dynamically adjusts its parameters to improve the efficiency of image retrieval processes, reducing latency and utilization of resources. However, the image retrieval process is efficiently performed by a triple network and the parameters employed in the network are optimized by Adaptive Grey Wolf (AGW) optimization. Imputation of missing values, Min–Max normalization, and Z-score standardization processes are used to preprocess the images. The image extraction process is undertaken by a modified convolutional neural network (MCNN) approach. Moreover, input images are taken from datasets such as the Landsat 8 dataset and the Moderate Resolution Imaging Spectroradiometer (MODIS) dataset is employed for image retrieval. Further, the performance such as accuracy, precision, recall, specificity, F1-score, and false alarm rate (FAR) is evaluated, the value of accuracy reaches 98.1%, the precision of 97.2%, recall of 96.1%, and specificity of 917.2% respectively. Also, the convergence speed is enhanced in this TN-AGW approach. Therefore, the proposed TN-AGW approach achieves greater efficiency in image retrieving than other existing
Exploiting the 0.1-10 THz spectrum range in sixth-generation (6G) wireless networks promises significant advancements;however, it presents challenges in resource allocation (RA) and security to meet diverse user deman...
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ISBN:
(纸本)9798350370249
Exploiting the 0.1-10 THz spectrum range in sixth-generation (6G) wireless networks promises significant advancements;however, it presents challenges in resource allocation (RA) and security to meet diverse user demands. This paper introduces a novel approach integrating blockchain technology (BCT) and deep learning (DL) for small base station (SBS) coalition formation (CF) and RA. We address critical challenges in dynamic RA and CF, presenting a comprehensive framework grounded in both theoretical and simulation-based analyses. By leveraging BCT, secure retrieval of reputation data is ensured, thereby establishing trust within the network. Our proposed algorithm dynamically optimizes the reputation-to-demand (R/D) ratios, prioritizing SBSs with higher R/D ratios for RA, thus enhancing network efficiency. Further, notable improvements in network performance metrics, validated through extensive simulations and theoretical calculations. The adaptability of the algorithm allows SBSs to enhance their reputation via increased upload capacity and coalition participation. Utilizing Shapley values and network monitoring, the algorithm optimizes CF and the operational status of SBSs. The stability and reliability of the network are assured through Nash equilibrium checks and reputation integrity verification. This comprehensive implementation illustrates that our proposed methodology offers an efficient solution to dynamic wireless challenges, optimizing RA and CF in evolving environments. The integration of DL and BCT provides a robust framework for efficient wireless network management. Our simulations lay a strong foundation for future research in 6G network optimization, emphasizing the proposed solutions’ practical applicability, scalability, and resilience. Key innovations include dynamic R/D ratio optimization, blockchain-based secure reputation data retrieval, adaptable reputation improvement algorithms, efficient coalition formation using Shapley values, Nash equili
Disastrous situations pose a formidable challenge, testing our resilience against nature's fury and the race against time to prevent the loss of human life. It is noted that in such situations that Microblogging p...
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Agriculture is crucial to the global economy, particularly in ensuring food security. Recent trends indicate that various plant diseases are causing substantial financial losses in the agricultural sector worldwide. T...
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This study examines the use of experimental designs, specifically full and fractional factorial designs, for predicting Alzheimer’s disease with fewer variables. The full factorial design systematically investigates ...
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Detecting and promptly identifying cracks on road surfaces is of paramount importance for preserving infrastructure integrity and ensuring the safety of road users, including both drivers and pedestrians. Presently, t...
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