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Dew computing-assisted cognitive Intelligence-inspired smart environment for diarrhea prediction
Diarrhea is one of the most common infectious diseases that affect people of all ages and is a serious public health concern around the world. The...
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Comparative analysis of algorithms with data mining methods for examining attitudes towards STEM fields
Examining students’ attitudes towards STEM (science, technology, engineering, and mathematics) fields starting from middle school level is important...
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Comparative Analysis of Machine Learning Algorithms in Vehicle Image Classification
Object identification in the area of Computer Vision essentially focus on how robots are able to perceive in comparison of human eyes. The main task...
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Employee Attrition Analysis Using CatBoost
Almost everywhere, organizations or individuals can adopt technologies that can be supportive to make decisions and get insight from data: artificial...
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Data Science Concepts and Techniques with Applications
This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses...
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R for Analytics
This chapter introduces the R tool. We’ll discuss the fundamentals of R required to perform business analytics, data mining, and machine learning....
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Analysis of cloud computing-based education platforms using unsupervised random forest
Cloud computing-based online education has played a vital role in enabling uninterrupted learning during crises such as the COVID-19 pandemic. This...
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Crowdsmelling: A preliminary study on using collective knowledge in code smells detection
Code smells are seen as major source of technical debt and, as such, should be detected and removed. However, researchers argue that the...
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Applying Rough Set Theory for Digital Forensics Evidence Analysis
With the growth of digital crime and the pressing need for strategies to counteract these forms of criminal activities, there is an increased...
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Scientific Workflow Management for Software Quality Assessment Replication: An Open Source Architecture
Replication of research experiments is important for establishing the validity and generalizability of findings, building a cumulative body of...
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Using sentiment analysis to evaluate qualitative students’ responses
Text analytics in education has evolved to form a critical component of the future SMART campus architecture. Sentiment analysis and qualitative...
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Distraction descriptor for brainprint authentication modelling using probability-based Incremental Fuzzy-Rough Nearest Neighbour
This paper aims to design distraction descriptor, elicited through the object variation, to refine the granular knowledge incrementally, using the...
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Exploiting Machine Learning Technique for Attack Detection in Intrusion Detection System (IDS) Based on Protocol
An intrusion detection system (IDS) can be either software or hardware that computerizes the process of kee** track of and evaluating network or...
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An Efficient Method for Heart Failure Diagnosis
The primary objective of this research paper is to develop an efficient method for the early identification of heart failure. Two classification...
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Security Testing of Android Apps Using Malware Analysis and XGboost Optimized by Adaptive Particle Swarm Optimization
Securing Android apps presents a formidable challenge due to the incessant threat of malicious applications. Traditional solutions have grown less...
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Sentiment analysis for cruises in Saudi Arabia on social media platforms using machine learning algorithms
Social media has great importance in the community for discussing many events and sharing them with others. The primary goal of this research is to...
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A Machine Learning Model for Student’s Academic Success Prediction
Higher education institutions are frequently interested in learning about students’ success rates during their studies. As a result, they must employ...
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A configurable mining approach for enhancing the business processes' performance
Business is a war to get the attention you deserve from your enemies, and many competitors strive to gain a prominent position. Organizations are...
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Label distribution similarity-based noise correction for crowdsourcing
In crowdsourcing scenarios, we can obtain each instance’s multiple noisy labels from different crowd workers and then infer its integrated label via...
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Ensemble Machine Learning Models for Breast Cancer Identification
The advances in the Machine Learning (ML) domain, from pattern recognition to computational statistical learning, have increased its utility for...