ISSN: 1683-3198
|
e-ISSN: 2309-4524
|
DOI: 10.34028/iajit
Submit your Paper
Track your Paper
The International Arab Journal of Information Technology
(IAJIT)
Home
Aims and Scopes
About IAJIT
Current Issue
Archives
Submission
Announcement
Indexing
Contact Us
Home
/
Search for: machine learning
Editorial Board
Technical Committee
Instruction to Authors
Article Processing Charges
Submit your Paper
Track your Paper
Review Paper
Instructions to Reviewers
Statistics
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
Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality
Xiang Cheng,Pingping Zhang
#Football
#progressive Wasserstein generative adversarial network
#soccer training termite life cycle optimization
#virtual reality
RSO based Optimization of Random Forest Classifier for Fault Detection and Classification in Photovoltaic Arrays
Khaled Baradieh,Mohd Zainuri,Mohamed Kamari,Yushaizad Yusof,Huda Abdullah,Mohd Zaman,Mohd Zulkifley
#Classifier
#diagnosis
#fault classification
#fault detection
#machine learning
#optimization
#photovoltaic
#pv
#random forest
Machine Learning Driven Threat Identification to Enhance FANET Security using Genetic Algorithm
Shikha Gupta,Neetu Sharma
#FANET
#threats
#genetic
#trust
#reputation
#network reliability
#machine learning
Leveraging on Synthetic Data Generation Techniques to Train Machine Learning Models for Tenaga Nasional Berhad Stock Price Movement Prediction
Nur Aliah Syahmina Mohd Nazarudin,Nor Hapiza Mohd Ariffin,Ruhaila Maskat
#Stock price prediction
#machine learning
#synthetic data generation
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
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
Determining PolyCystic Ovarian Syndrome Severity from Reddit Posts using Topic Modelling and Association Rule Mining
Santhi Selvaraj,Selva Nidhyananthan Sundaradhas
#Association rule mining
#bag of words
#frequent symptoms set
#PCOS
#topic modelling
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
Word Embedding as a Semantic Feature Extraction Technique in Arabic Natural Language Processing: An Overview
Ghizlane Bourahouat,Manar Abourezq,Najima Daoudi
#ANLP
#feature extraction
#word embedding
#BERT
#transformers
Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques
Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule
#Cyber intrusion
#intrusion detection system
#machine learning
#deep learning
#ensemble learning
#classifications
#big data analytics
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
Word Embedding as a Semantic Feature Extraction Technique in Arabic Natural Language Processing: An Overview
Ghizlane Bourahouat,Manar Abourezq,Najima Daoudi
#ANLP
#feature extraction
#word embedding
#BERT
#transformers
Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques
Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule
#Cyber intrusion
#intrusion detection system
#machine learning
#deep learning
#ensemble learning
#classifications
#big data analytics
XAI-PDF: A Robust Framework for Malicious PDF Detection Leveraging SHAP-Based Feature Engineering
Mustafa Al-Fayoumi,Qasem Abu Al-Haija,Rakan Armoush,Christine Amareen
#Machine learning
#malicious PDF detection
#feature engineering
#explainable artificial intelligence
#shapley additive explanations
Using Machine Learning Techniques for Subjectivity Analysis based on Lexical and Non-lexical Features
Hikmat Ullah Khan,Ali Daud
#Machine Learning
#classification
#opinion mining
#lexicon
#non-lexical features
1
2
3
4
5
»
All Rights reserved to IAJIT 2024
Powered by:
TurnPoint