A Machine Learning Attempt for Anatomizing Software Risks in Small and Medium Agile Enterprises

Ayesha Ziana Mohamed,Charles Jebapillai

#Software risk analysis #software risk classification #risk prediction #machine learning #agile software risk assessment

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

A Machine Learning Attempt for Anatomizing Software Risks in Small and Medium Agile Enterprises

Ayesha Ziana Mohamed,Charles Jebapillai

#Software risk analysis #software risk classification #risk prediction #machine learning #agile software risk assessment

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

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

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

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