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Computational intelligence-based classification system for the diagnosis of memory impairment in psychoactive substance users
Computational intelligence techniques have emerged as a promising approach for diagnosing various medical conditions, including memory impairment....
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Adaptive scheduling-based fine-grained greybox fuzzing for cloud-native applications
Coverage-guided fuzzing is one of the most popular approaches to detect bugs in programs. Existing work has shown that coverage metrics are a crucial...
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Non-orthogonal multiple access-based MEC for energy-efficient task offloading in e-commerce systems
Mobile edge computing (MEC) reduces the latency for end users to access applications deployed at the edge by offloading tasks to the edge. With the...
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Multiple time servers timed-release encryption based on Shamir secret sharing for EHR cloud system
Electronic health record (EHR) cloud system, as a primary tool driving the informatization of medical data, have positively impacted both doctors and...
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Efficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework
Cloud environment is a virtual, online, and distributed computing environment that provides users with large-scale services. And cloud monitoring...
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From data to insights: the application and challenges of knowledge graphs in intelligent audit
In recent years, knowledge graph technology has been widely applied in various fields such as intelligent auditing, urban transportation planning,...
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HybOff: a Hybrid Offloading approach to improve load balancing in fog environments
Load balancing is crucial in distributed systems like fog computing, where efficiency is paramount. Offloading with different approaches is the key...
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Hierarchical Identity-Based Authenticated Encryption with Keyword Search over encrypted cloud data
With the rapid development of cloud computing technology, cloud storage services are becoming more and more mature. However, the storage of sensitive...
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ABWOA: adaptive boundary whale optimization algorithm for large-scale digital twin network construction
Digital twin network (DTN) as an emerging network paradigm, have garnered growing attention. For large-scale networks, a crucial problem is how to...
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Towards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm
Efficient allocation of tasks and resources is crucial for the performance of heterogeneous cloud computing platforms. To achieve harmony between...
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Distance optimization and directional overcurrent relay coordination using edge-powered biogeography-genetic algorithms
The effective functioning and regulation of power systems crucially rely on the coordination of distance and directional overcurrent relays. Accurate...
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Privacy-preserving sports data fusion and prediction with smart devices in distributed environment
With the rapid advancement of sports analytics and fan engagement technologies, the volume and diversity of physique data generated by smart devices...
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Topic and knowledge-enhanced modeling for edge-enabled IoT user identity linkage across social networks
The Internet of Things (IoT) devices spawn growing diverse social platforms and online data at the network edge, propelling the development of...
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Quantum support vector machine for forecasting house energy consumption: a comparative study with deep learning models
The Smart Grid operates autonomously, facilitating the smooth integration of diverse power generation sources into the grid, thereby ensuring a...
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Enhancing multimedia management: cloud-based movie type recognition with hybrid deep learning architecture
Film and movie genres play a pivotal role in captivating relevant audiences across interactive multimedia platforms. With a focus on entertainment,...
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MTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices
The rapid advancement of microservice architecture in the cloud has led to the necessity of effectively detecting, classifying, and diagnosing run...
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A bizarre synthesized cascaded optimized predictor (BizSCOP) model for enhancing security in cloud systems
Due to growing network data dissemination in cloud, the elasticity, pay as you go options, globally accessible facilities, and security of networks...
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STAM-LSGRU: a spatiotemporal radar echo extrapolation algorithm with edge computing for short-term forecasting
With the advent of Mobile Edge Computing (MEC), shifting data processing from cloud centers to the network edge presents an advanced computational...
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Recognizing online video genres using ensemble deep convolutional learning for digital media service management
It's evident that streaming services increasingly seek to automate the generation of film genres, a factor profoundly sha** a film's structure and...
