Symmetric Classes of Series-Parallel Digraphs

Ruzayn Quaddoura

#Digraphs #series-parallel digraphs #design and analysis of algorithms #complexity

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

Application of Decomposition Expression in Digital Video Object Segmentation

Jianfu Kong

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

Application of Video Game Algorithm Based on Deep Q-Network Learning in Music Rhythm Teaching

Shilian Zhang,Zheng Huang,Yalin Lang

#DQN network learning #video game algorithms #the rhythm of music #teaching practice

Inventory Optimization Using Data Science Technologies for Supply Chain 4.0

Emna Bouazizi,Ayman Khedr,Sherin Elfaioumy,Mohamed Belal

#Supply chain 4.0 #inventory management #regression algorithm #optimization

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

Using Deep Learning for Profitable Concrete Forecasting Methods

Ayat Al-Hinawi,Radwan Alelaimat

#Concrete performance prediction #machine learning #deep learning #construction management #regression

HYAQP: A Hybrid Meta-Heuristic Optimization Model for Air Quality Prediction Using Unsupervised Machine Learning Paradigms

Praveena Vasudevan,Chitra Ekambaram

#Meta-heuristic #unsupervised machine learning #hybrid optimization #optimized k-means #air quality prediction

Prediction of Football Players’ Value in the Transfer Market of Well-known European Leagues based on FIFA 19 and Real-world Data

Yu Sun,Kepeng Gu

#Transfer market #European football leagues #data engineering #variance inflation factor #regression prediction algorithms #rhizostoma optimization algorithm

Low Dimensional Multi Class Steganalysis of Spatial LSB based Stego Images Using Textural Features

Veena Sivasamy Thanasekaran,Arivazhagan Selvaraj

#Active steganalysis #blind steganalysis #statistical steganalysis #multi class classifier #spatial domain algorithms #ensemble classifier

Usage of Statistical Techniques to Monitor the Performance of Wind Turbines

Aditya Dubey,Pradeep Yadav,Subhash Chandra Patel

#AEP #sigmoid #RELU #softmax #TANH #wind power curve model #statistical model

Low Dimensional Multi Class Steganalysis of Spatial LSB based Stego Images Using Textural Features

Veena Sivasamy Thanasekaran,Arivazhagan Selvaraj

#Active steganalysis #blind steganalysis #statistical steganalysis #multi class classifier #spatial domain algorithms #ensemble classifier

Usage of Statistical Techniques to Monitor the Performance of Wind Turbines

Aditya Dubey,Pradeep Yadav,Subhash Chandra Patel

#AEP #sigmoid #RELU #softmax #TANH #wind power curve model #statistical model

Speech Scrambling based on Independent Component Analysis and Particle Swarm Optimization

Nidaa Abbas,Jahanshah Kabudian

#ICA #itakura-saito distance #LPC #PSO #speech scrambling #SNR

LWE Based Quantum-Resistant Pseudo-Random Number Generator

Atul Kumar,Arun Mishra

#Learning with errors #homomorphic function #pseudo-random number generator #homomorphic function #linear feedback shift register #NIST statistical test suite

Design and Study of Zombie Enterprise Classification and Recognition Systems Based on Ensemble Learning

Shutong Pang,Ziwei Yang,Chengyou Cai,Zhimin Li

#Integrated learning #corporate portrait #classification and identification #strong supervision model

Exact Algorithm for Batch Scheduling on Unrelated Machine

Hemmak Allaoua

#Scheduling #unrelated machine #exact method #parallel machine #batch scheduling

Temporal Residual Network Based Multi-Head Attention Model for Arabic Handwriting Recognition

Ramzi Zouari,Dalila Othmen,Houcine Boubaker,Monji Kherallah

#Beta stroke #velocity #residual #skip connection #attention #vanishing gradient

Machine Learning Models for Statistical Analysis

Marko Grebovic,Luka Filipovic,Ivana Katnic,Milica Vukotic,Tomo Popovic

#Machine learning #artificial neural networks #statistical models #accuracy measures

Incorporating Triple Attention and Multi-scale Pyramid Network for Underwater Image Enhancement

Kaichuan Sun,Yubo Tian

#Underwater image enhancement #attention mechanism #multi-scale pyramid network #encoder-decoder