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Heterogeneous wireless network selection using feed forward double hierarchy linguistic neural network
Network selection in heterogeneous wireless networks (HWNs) is a complex issue that requires a thorough understanding of service features and user...
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Model selection for network data based on spectral information
In this work, we explore the extent to which the spectrum of the graph Laplacian can characterize the probability distribution of random graphs for...
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Probabilistic estimation of comprehensive utility based on user preference and network condition for network selection in future in HetNet
One of key difficulties in designing vertical handover strategy in ultra-dense heterogeneous networks is selecting network. This work has proposed...
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Optimal Stable Cluster Head Selection Method for Maximal Throughput and Lifetime of Homogeneous Wireless Sensor Network
The previously reported works e.g., E-LEACH, and RCH-LEACH have proposed energy-efficient CH selection methods with coverage enhancement and varying...
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Addictive brain-network identification by spatial attention recurrent network with feature selection
Addiction in the brain is associated with adaptive changes that reshape addiction-related brain regions and lead to functional abnormalities that...
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Multiscale deep feature selection fusion network for referring image segmentation
Referring image segmentation has attracted extensive attention in recent years. Previous methods have explored the difficult alignment between visual...
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Two-stream network with viewport selection for blind omnidirectional video quality assessment
In omnidirectional images or videos, the viewer receives an interactive and immersive experience from the viewport by changing the viewing angle. Due...
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Detecting Network Intrusion in Cloud Environment Through Ensemble Learning and Feature Selection Approach
The use of the Internet is enhanced drastically in the current era, which connects multiple computers in a network and a group of devices. In...
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CVS-FLN: a novel IoT-IDS model based on metaheuristic feature selection and neural network classification model
The Internet of Things (IoT) is one of the technologies that will be used all over the world in the future, and its security and privacy features are...
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Slicing capacity-centered mode selection and resource optimization for network-assisted full-duplex cell-free distributed massive MIMO systems
Network-assisted full-duplex (NAFD) cell-free distributed massive multiple-input multiple-output (MIMO) systems enable uplink (UL) and downlink (DL)...
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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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An optimized energy management and load balancing system based on cluster head selection for the vehicular network communication
Wireless Sensor Network (WSN) is a well-organizing network that provides efficient communication services. However, high energy usage and overloaded...
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An efficient network intrusion detection model for IoT security using K-NN classifier and feature selection
The Internet of Things (IoT) interconnects billions of sensors and actuators to serve a meaningful purpose. However, it is always vulnerable to...
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Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media
Background and objectivePostpartum Depression (PPD) is a frequently ignored birth-related consequence. Social network analysis can be used to address...
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A novel traffic aware reliable gateway selection in wireless mesh network
In wireless mesh networks (WMNs) the traffic-aware reliable gateway selection is the key for enhancing the quality of service (QoS) to improve the...
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Spatiotemporal consistent selection-correction network for deep interactive image segmentation
Interactive image segmentation can extract specific targets meeting users’ intention, and has received widespread attention in computer vision. The...
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Optimal Control Selection for Stabilizing the Inverted Pendulum Problem Using Neural Network Method
Abstract—The task of managing unstable systems is a critically important management problem, as an unstable object can pose significant danger to...
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Improving knowledge-based dialogue generation through two-stage knowledge selection and knowledge selection-guided pointer network
Existing End-to-End neural models for dialogue generation tend to generate generic and uninformative responses. Recently, knowledge-based dialogue...
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Optimal Path Selection in Vehicular Adhoc Network Using Hybrid Optimization
Businesses, academics, and professionals are concentrating on enhancing safety as a consequence of the swift development of wireless technology. The...
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Feature selection of microarray data using multidimensional graph neural network and supernode hierarchical clustering
Cancer remains a significant cause of mortality, and the application of microarray technology has opened new avenues for cancer diagnosis and...
