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

Improvement of Translation Accuracy for the Word Sense Disambiguation System using Novel Classifier Approach

Ajith Abraham,Bineet Kumar Gupta,Satya Bhushan Verma,Archana Sachindeo Maurya,Mohammad Husain,Arshad Ali,Sami Alshmrany,Sanjay Gupta

#Bayes theorem #machine learning #machine translation #naïve bayes classification #supervised approach #unsupervised approach #and word sense disambiguation

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

Heart Disease Diagnosis Using Decision Trees with Feature Selection Method

Alaa Sheta,Walaa El-Ashmawi,Abdelkarim Baareh

#Machine learning #classification #decision tree #heart disease #diagnosis

Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques

Mohammed Maree,Mujahed Eleyat,Enas Mesqali

#Machine learning #bilingual sentiment analysis #NLP #sentiment datasets

Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques

Mohammed Maree,Mujahed Eleyat,Enas Mesqali

#Machine learning #bilingual sentiment analysis #NLP #sentiment datasets

Kernel Logistic Regression Algorithm for Large Scale Data Classification

classification problems. However, it is often not f ound in large+scale data classification problems an d this is mainly because it

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# Fuzzy apriori # feature selection # particle swarm # credit scoring

Multiple-View Face Hallucination by a Novel Regression Analysis in Tensor Space

Abstract:In this paper, the novel multiple-view face hallucination method was proposed. This method is reconstructed the

#Facehallucination # tensor regression #multiple views # super-resolution

Test Case PrioritizationforRegression Testing Using Immune Operator

Abstract:Regressiontesting is a time consuming, costly process of re-running existing test cases.Assoftware evolves, the

#Immuneoperator # vaccine # test case prioritization # regression testing #GA #IPA

93

Abdullah Aljumah and Mohammad Siddiqui

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2009

Mohamed Ben Messaoud, Besma Khelil, and Abdennaceur Kachouri

#ECG # P wave detection # correlation # regression # diagnosis

# Chaotic optimization # GA # CGA # SVR # volatility

An Empirical Study to Evaluate the Relationship of Object-Oriented Metrics and Change Proneness

Abstract: Software maintenance deals with changes or modifications which software goes through. Change prediction models

#Change proneness # empirical validation # machine learning # object-oriented and software quality

Bilateral Multi-Issue Negotiation Model for a Kind

1College of Computer Science and Electronic Engineering, Hunan University, China 2The Second Hospital, University of South China, China 3Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, China

#Multi-issue negotiation; jaussian process regression; dynamic risk strategy; concession strategy

Performance Analysis of FCM Based ANFIS and

Praynlin Edinson1 and Latha Muthuraj2

#Software development # cost # effort estimation # process planning # ANFIS

Applications of Logistic Regression and Artificial Neural Network for ICSI Prediction

Zeinab Abbas1, Ali Saad1, Mohammad Ayache1, and Chadi Fakih2 1Department of Biomedical Engineering, Islamic University of Lebanon, Lebanon 2Department of medicine, Lebanese University and Saint Joseph University, Lebanon

#Artificial Neural Network (ANN) # Assisted Reproductive Treatment (ART) # In-Vitro Fertilization (IVF) # ICSI # logistic regression