A Novel Risk-Based Testing Framework for Distributed Agile Software Development

Esha Khanna,Rashmi Popli,Naresh Chauhan

#Test case prioritization #risk-based testing #distributed agile software development

Arab Face Recognition and Identification Based on Ethnicity and Gender Using Machine Learning

Mohammed Abual-Rub,Khalid Nahar,Ammar Almomani,Firas Alzobi

#Ethnicity #facial recognition #neural network #multi-class classification #machine learning #facial features

MXLPred: A Natural Language Processing Deep Learning Model for ICU Patients’ Data

Daphne Samuel,Mary Anita Rajam

#Deep learning #ensemble model #natural language processing #MIMIC-IV #regression #big query

A Spatio-Temporal Feature Representation of Multimodal Surveillance Images for Behavioral Recognition

Lei Ma,Hongxue Yang,Guanghao Jin

#Multimodal #surveillance images #spatio-temporal features #behavioral recognition #convolutional neural network #dual attention mechanism

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

#

# 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