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Query-based information retrieval system adopting whale manhattan optimization-based deep belief neural network
The Information Retrieval system aims to discover relevant documents and display them as query responses. However, the ever-changing nature of user...
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Design of the implementation information management platform for distributed generation in distribution network based on information integration
The expansion planning of distribution network is based on the implementation information fusion management of distributed generation in distribution...
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The Model and Principles of Building an Automated Library and Information System
Abstract —The concepts of a scientific library and a network scientific library are clarified. The role of scientific network libraries in solving...
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Adaptive multi-information distillation network for image dehazing
Image dehazing is a challenging low-level vision task that estimates potentially haze-free images from hazy images. In recent years, convolutional...
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Fast computation of General SimRank on heterogeneous information network
Similarity computation is a fundamental aspect of information network analysis, underpinning many research tasks including information retrieval,...
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Cyber Physical System for Distributed Network Using DoS Based Hierarchical Bayesian Network
The Cyber Physical System (CPS) is a prime target for cyber attacks due to its heterogeneity and connectivity with physical equipment. This paper...
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Enhancing network security with information-guided-enhanced Runge Kutta feature selection for intrusion detection
Intrusion detection system (IDS) classify network traffic as either threatening or normal based on data features, aiming to identify malicious...
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On the revolution of the information network development paradigm
This paper summarizes the evolution logic, technical connotation, presupposition, applicable scope, and existing problems of information networks...
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An information system success model for e-learning postadoption using the fuzzy analytic network process
The underutilization of e-learning among university lecturers is an important issue that needs to be resolved. This study aimed to formulate an...
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Meta-path automatically extracted from heterogeneous information network for recommendation
Heterogeneous information networks have been proven to effectively improve recommendations due to their diverse information content. However, there...
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Neural Network: Predator, Victim, and Information Security Tool
AbstractThe article deals with information security problems associated with neural networks. Malicious neural networks, attacks on neural networks,...
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Incorporating metapath interaction on heterogeneous information network for social recommendation
Heterogeneous information network (HIN) has recently been widely adopted to describe complex graph structure in recommendation systems, proving its...
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Cortex-inspired ensemble based network intrusion detection system
With the invention of modern network technologies in recent decades, the exponential growth in wireless devices and their ease in wireless...
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Fusing heterogeneous information for multi-modal attributed network embedding
In the real world, networks with many types of nodes and edges are complex, forming a heterogeneous network. For instance, film networks contain...
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Multi-scale information fusion generative adversarial network for real-world noisy image denoising
Image denoising is crucial for enhancing image quality, improving visual effects, and boosting the accuracy of image analysis and recognition. Most...
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Secure Communication Using Multi-Layer Perceptron Neural Network and the Adaptive-Network-Based Fuzzy Inference System in Wireless Network
A Wireless Sensor Network (WSN) consists of many sensor nodes that collect data from various environmental conditions using the Internet of Things...
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Design of distributed network intrusion prevention system based on Spark and P2DR models
The commonly used method for network intrusion is based on pattern matching systems, but these systems do not have high detection accuracy when...
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A correlation information-based spatiotemporal network for traffic flow forecasting
Traffic flow forecasting technology plays an important role in intelligent transportation systems. Based on graph neural networks and attention...
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A spatio-temporal grammar graph attention network with adaptive edge information for traffic flow prediction
Traffic flow prediction is an essential part of the intelligent traffic management system, which can help managers plan and maintain traffic order...
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PD-GATv2: positive difference second generation graph attention network based on multi-granularity in information systems to classification
The Graph Attention Network (GAT) is a widely recognized architecture in the field of Graph Neural Networks (GNNs). It is considered the...
