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

Adaptive Software Development: A Comprehensive Framework Integrating Artificial Intelligence for Sustainable Evolution

Yaya Gadjama Soureya,Ngoumou Amougou,Justin Moskolai Ngossaha,Samuel Bowong Tsakou,Marcel Fouda Ndjodo

#Sustainability #evolution #quality of service #SPL #AI #IoT #connected homes

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

A Proposed Genetic Algorithm Adaptation Based Model for Students’ Tracks Prediction

Mourad Kaddes,Ayman E. Khedr,Amira M. Idrees

#Genetic algorithms #optimization #particle swarm optimization #education #student tracks

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

Adaptive Software Development: A Comprehensive Framework Integrating Artificial Intelligence for Sustainable Evolution

Yaya Gadjama Soureya,Ngoumou Amougou,Justin Moskolai Ngossaha,Samuel Bowong Tsakou,Marcel Fouda Ndjodo

#Sustainability #evolution #quality of service #SPL #AI #IoT #connected homes

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

Survival Prediction of Children after Bone Marrow Transplant Using Machine Learning Algorithms

Hussam Alawneh,Ahmad Hasasneh

#Bone marrow transplant #hematopoietic stem cell #random forest #bagging #adaboost #gradient boost #decision tree #XGBoost

From Neutrosophic Soft Set to Effective Neutrosophic Soft Set Generalizations and Applications

Sumyyah Al-Hijjawi,Abd Ghafur Ahmad,Shawkat Alkhazaleh

#Soft set #neutrosophic soft set #effective set #effective fuzzy soft set #effective neutrosophic soft set

An Improved Q-Learning Algorithm Integrated into the Aloha Anti-Collision Protocol for Energy-Efficient RFID Systems

Van-Hoa Le,Duc-Nhat-Quang Nguyen,Viet-Minh-Nhat Vo

#RFID system #aloha protocol #anti-collision #Q-learning #energy-efficiency

Insights into Automated Attractiveness Evaluation from 2D Facial Images: A Comprehensive Review

Ali Ibrahem,Jwan Saeed,Adnan Abdulazeez

#Facial beauty prediction #facial attractiveness assessment #beauty hypotheses #beauty computation model

Improved Collaborative Filtering Recommender System Based on Hybrid Similarity Measures

Mohamed Abdi,George Okeyo,Ronald Mwangi

#Recommender systems #collaborative filtering #similarity measure #Adjusted Triangle similarity #Jaccard similarity #user rating preference behavior

Empowering Ovarian Cancer Subtype Classification with Parallel Swin Transformers and WSI Imaging

Lubna ALkahla,Jwan Saeed,Maher Hussein

#Ovarian cancer #Swin-transformer #sub-type classification #histology image analysis

Enhancing Session-Based Recommendations by Fusing Candidate Items

Yingjuan Sun,Wanhua Li,Jingqi Xing,Bangzuo Zhang,Dongbing Pu,Qian Liu,Yinghui Sun

#Recommendation systems #session-based recommendation #graph neural network #attention mechanism

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

Review of Agile SDLC for Big Data Analytics Systems in the Context of Small Organizations Using Scrum-XP

Gerardo Salazar-Salazar,Manuel Mora,Hector Duran-Limon,Francisco Alvarez-Rodriguez,Angel Munoz-Zavala

#Big data analytics systems #agile system development life cycle #Scrum-XP #CRISP-DM #TDSP and DDSL #small business

Semi-Supervised Kernel Discriminative Low-Rank Ridge Regression for Data Classification

Qi Zhu,Yong Peng

#Discriminative subspace #low-rank regression #kernel space #ridge regression #semi-supervised classification

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

3D VAE Video Prediction Model with Kullback Leibler Loss Enhancement

Zahraa Al Mokhtar,Shefa Dawwd

#3D sampling stage #kullback leibler loss #temporal 3D sampling stage #three dimensional RNN layers #variational autoencoder

Image Object and Scene Recognition Based on Improved Convolutional Neural Network

Guoyan Li,Fei Wang

#Object recognition #deep learning #scene recognition #convolutional neural network #sliding window fusion