Federated Graph Neural Networks for Dynamic IoT Collaboration Optimization in Smart Home Environments

Cheng Zhang,Yuanquan Zhong

#IoT device collaboration #graph neural network #federated learning #graph structure #smart home

Sales Forecasting and Consumption Recommendation System of E-commerce Agricultural Products Based on LSTM Model

Jianwei Wu

#LSTM model #sales forecast of agricultural products #e-commerce #personalized recommendation system

Perception of Natural Scenes: Objects Detection and Segmentations using Saliency Map with AlexNet

Muhammad Waqas Ahmed,Abdulwahab Alazeb,Naif Al Mudawi,Touseef Sadiq,Bayan Alabdullah,Hameed ur Rahman,Asaad Algarni,Ahmad Jalal

#Pattern recognition #alexNet #fish swarm algorithm #object detection

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

Perception of Natural Scenes: Objects Detection and Segmentations using Saliency Map with

AlexNet, Abdulwahab Alazeb, Naif Al Mudawi, Touseef Sadiq, Bayan Alabdullah, Hameed ur Rahman, Asaad Algarni, Ahmad Jalal

#Pattern recognition # alexNet # fish swarm algorithm # object detection

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

AD-DCFP: Anomaly Detection Based on the Distance of Closed Frequent Patterns

Yudong Yin,Kun Wang,Linqiang Deng

#Anomaly detection #closed frequent patterns #pattern distance #vertical-based mining

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

AD-DCFP: Anomaly Detection Based on the Distance of Closed Frequent Patterns

Yudong Yin,Kun Wang,Linqiang Deng

#Anomaly detection #closed frequent patterns #pattern distance #vertical-based mining

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

Determining PolyCystic Ovarian Syndrome Severity from Reddit Posts using Topic Modelling and Association Rule Mining

Santhi Selvaraj,Selva Nidhyananthan Sundaradhas

#Association rule mining #bag of words #frequent symptoms set #PCOS #topic modelling

Disease Prognosis of Fetal Heart’s Four-Chamber and Blood Vessels in Ultrasound Images Using CNN Incorporated VGG 16 and Enhanced DRNN

Someshwaran Gunasekaran,Sarada Vivekasaran

#Fetal heart disease #ultrasound images #augmented wiener filter #median modified wiener filter #region of interest #convolutional neural network #visual geometry group 16 #deep recurrent neural network

Canine Disease Prediction using Multi-Directional Intensity Proportional Pattern with Correlated Textural Neural Network

Ayesha Taranum,Jyoti Metan,Prasad Yogegowda,Chandrashekar Krishnappa

#Data optimization #pattern extraction in big data #multi-directional intensity proportional pattern #similarity measure system #correlated textural neural network #test prediction

A New Facial Expression Recognition Algorithm Based on DWT Feature Extraction and Selection

Fatima Zohra BOUKHOBZA,Abdenour HACINE GHARBI,Khaled ROUABAH

#Facial expression recognition #2D-DWT #person-independent system #feature extraction #wrapper feature selection #dimensionality reduction

Analysis of QA System Behavior against Context and Question Changes

Rachid Karra,Abdelali Lasfar

#Adversarial attacks #BERT #data quality #question answering #simplification

Turning Point Induced Knowledge Forecasting under Uncertainties (TrIK)

Jagtap Vinyak,Kulkarni Parag,Joshi Pallavi

#Time series forecasting #shoulder area #turning point #knowledge discovery #surprise #uncertainty

FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks

Jun Wang,Yuanxi Wang

#CNN #GAN #hydrogen gas #sensors #fault #pattern recognition