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HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection
With the rapid development of network technology and the automation process for 5G, cyber-attacks have become increasingly complex and threatening....
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Hybrid Hopfield Neural Network
Hopfield and Tank have shown that a neural network can find solutions for complex optimization problems, although it can be trapped in a local...
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Optimizing network slicing in 6G networks through a hybrid deep learning strategy
The sixth generation (6G) networks demand high security, low latency, and highly dependable standards and capacity. One of the essential components...
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Network traffic grant classification based on 1DCNN-TCN-GRU hybrid model
Accurate grant classification of network traffic not only assists service providers in making acceptable allocations based on actual business...
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Hybrid quantum key distribution network
Quantum key distribution (QKD) is now moving toward a scalable and secure QKD network, which establishes secret keys among network users. The...
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Flexible Nodes Exclusion and Inclusion Capability Migration Model for Hybrid Software-Defined Network
AbstractSoftware-defined networking (SDN) is a popular network technology that enables flexible programmed network setup for optimizing network...
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Single Image Dehazing Using Hybrid Convolution Neural Network
Due to the dispersion of atmospheric particles, the quality of the image becomes inferior. The quality of the frames captured in poor weather...
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Speaker recognition using Improved Butterfly Optimization Algorithm with hybrid Long Short Term Memory network
Speaker recognition is extensively applied in several applications, namely identity verification, electronic voice eavesdrop**, surveillance, voice...
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MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs
In this paper, we present MambaNet: a hybrid neural network for predicting the outcomes of Basketball games. Contrary to other studies, which focus...
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Harris Hawks optimization based hybrid deep learning model for efficient network slicing in 5G network
Newly devised fifth-generation (5G) and sixth-generation (6G) networks next-generation networks are extremely secure, low latency, dependable, and...
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A hybrid deep convolutional neural network model for improved diagnosis of pneumonia
Pneumonia is an infection that inflames the air sacs in lungs and is one of the prime causes of deaths under the age of five, all over the world....
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Application of hybrid capsule network model for malaria parasite detection on microscopic blood smear images
Today, malaria is a dangerous disease caused by Plasmodium parasites and transmitted by the bite of Anopheles mosquitoes. It is estimated that more...
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Occluded pedestrian re-identification via Res-ViT double-branch hybrid network
Existing occluded pedestrian re-identification methods mainly utilize convolutional neural networks to realize the feature matching under different...
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A hybrid network for estimating 3D interacting hand pose from a single RGB image
The estimation of 3D interacting hand pose from a single RGB image is a challenging problem. The hands tend to occlude each other and are...
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Network intrusion detection and prevention strategy with data encryption using hybrid detection classifier
Advances in technology and communication have led to an increase in data and network sizes. As a result, many intrusions (attacks) are created and...
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An empirical wavelet transform based fault detection and hybrid convolutional recurrent neural network for fault classification in distribution network integrated power system
The penetration of distributed renewable energy sources degrades the protection of microgrids, which leads to incorrect data flow in the energy...
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Scattering-based hybrid network for facial attribute classification
Face attribute classification (FAC) is a high-profile problem in biometric verification and face retrieval. Although recent research has been devoted...
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A hybrid crossbar-ring on chip network topology for performance improvement of multicore architectures
Multicore architectures have achieved a popularity to deliver improved performance for different application domains. Performance of a system is...
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Energy-aware application map** methods for mesh-based hybrid wireless network-on-chips
The 2D mesh topology-based Network-on-Chip (NoC) is a prevalent structure in System-on-Chip (SoC) designs, offering implementation and fabrication...
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A hybrid convolutional neural network and support vector machine classifier for Amharic character recognition
Optical character recognition is a way of converting scanned images of printed or handwritten documents into machine-encoded text, making it easier...
