An Efficient Deep Learning based Multi-Level Feature Extraction Network for Multi-modal Medical Image Fusion

Syed Munawwar,Panyam Vuppu Gopi Krishna Rao

#Image fusion #deep learning #feature extraction #soft attention #and modified resblock

A Dual-End Recommendation Algorithm Integrating User Intent and Knowledge-Aware Attention Networks

Zijie Ji,Teng Lv,Yi Yu

#Recommendation model #user intent #knowledge-aware attention #dual-end recommendation

Neural Networks and Sentiment Features for Extremist Content Detection in Arabic Social Media

Hanen Himdi,Fatimah Alhayan,Khaled Shaalan

#BERT #sentiment analysis #deep learning #transformer-based models

Trust Enabled Secure Routing in Vehicular Adhoc Networks

M Venkata Krishna Reddy,G Kiran Kumar,Panduranga Vital Terlapu,D. Jayaram,Shirina Samreen

#Mobility #reliability #secure routing #trust #VANET

An Efficient Deep Learning based Multi-Level Feature Extraction Network for Multi-modal

Syed Munawwar,Panyam Vuppu Gopi Krishna Rao

#Image fusion #deep learning #feature extraction #soft attention #and modified resblock

A Dual-End Recommendation Algorithm Integrating User Intent and Knowledge-Aware Attention Networks

Zijie Ji,Teng Lv,Yi Yu

#Recommendation model #user intent #knowledge-aware attention #dual-end recommendation

Neural Networks and Sentiment Features for Extremist Content Detection in Arabic Social Media

Hanen Himdi,Fatimah Alhayan,Khaled Shaalan

#BERT #sentiment analysis #deep learning #transformer-based models

Trust Enabled Secure Routing in Vehicular Adhoc Networks

M Venkata Krishna Reddy,G Kiran Kumar,Panduranga Vital Terlapu,D. Jayaram,Shirina Samreen

#Mobility #reliability #secure routing #trust #VANET

Integrating Multiplex Heterogeneous Network for Knowledge Tracing

Liqing Qiu,Si’ao Sun

#Knowledge tracing #multiplex heterogeneous networks #graph representation learning #pre-trained embeddings #graph convolutional networks

Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning

Wael AlZoubi,Hazem Hatamleh

#Multicasting #network performance #artificial intelligence #deep Q-networks #deep reinforcement learning #quality of service

Fuzzy Speech Recognition Algorithm Based on Continuous Density Hidden Markov Model and Self Organizing Feature Map

Yanning Zhang,Lei Ma,Yunwei Li

#Speech recognition #wiener filter #Mel-frequency cepstrum coefficient #continuous hidden Markov model #self-organizing feature neural network

Investigation of Chat GPT’s Impact on Education Using Deep Spectral-Spatial Residual Attention Networks

Walaa Ismail,Howida Youssry

#Chat generative pre-trained transformer #continuous-discrete derivative-free extended Kalman filter #deep spectral-spatial residual attention network #parrot optimization algorithm #synchro-transient- extraction transform

Integrating Multiplex Heterogeneous Network for Knowledge Tracing

Liqing Qiu,Si’ao Sun

#Knowledge tracing #multiplex heterogeneous networks #graph representation learning #pre-trained embeddings #graph convolutional networks

Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning

Wael AlZoubi,Hazem Hatamleh

#Multicasting #network performance #artificial intelligence #deep Q-networks #deep reinforcement learning #quality of service

Fuzzy Speech Recognition Algorithm Based on Continuous Density Hidden Markov Model and Self Organizing Feature Map

Yanning Zhang,Lei Ma,Yunwei Li

#Speech recognition #wiener filter #Mel-frequency cepstrum coefficient #continuous hidden Markov model #self-organizing feature neural network

FPGA based Flexible Implementation of Light Weight Inference on Deep Convolutional Neural Networks

Shefa Dawwd

#Standard convolution #depthwise separable convolution #inference #deep convolutional neural networks #FPGA

Application of Decomposition Expression in Digital Video Object Segmentation

Jianfu Kong

#Video object segmentation #unsupervised #deep learning #decomposing expression #feature #bottleneck operator #foreground segmentation

An Enhanced Q-Learning MAC Protocol for Energy Efficiency and Convergence in Underwater Sensor Networks

Islam Ud Din,Irshad Abbasi,Sikandar Ali,Khalil Al Ruqeishi

#Q-Learning #under water sensor networks #MAC protocol #adaptive Q-Learning #energy efficiency

Cyberbullying Detection in Social Networks Using Deep Learning

Hayel Khafajeh

#Cyberbullying detection #deep learning #social networks #convolutional neural networks #long short-term memory #bidirectional encoder representations from transformers

Horizontal Sequence Pooling Technique in Convolutional Neural Networks to Optimize Feature Extraction for DNA Sequence Classification

Lilibeth Coronel,Arnel Fajardo,Ruji Medina

#Pooling technique #classification #convolutional neural network #feature extraction #genomic sequence