ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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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
Explore the Relationship between House Prices and Crime Rate in the UK Using Machine Learning Techniques
Soudabeh Motevali,Hamzeh Aljawawdeh,Sami Abuezhayeh,Eman Qaddoumi
#Machine learning techniques
#decision trees
#random forest
#house prices
#crime rates
#house price pre-diction
A Two-Stage Method of Cervical Cancer Detection using Hybrid Classification Methods
Orasa Patsadu,Srisuda Soranunsri,Chananate Arthayukti
#Cervical cancer
#hybrid classification methods
#two stage classification
#machine learning
#healthcare
Explore the Relationship between House Prices and Crime Rate in the UK Using Machine Learning Techniques
Soudabeh Motevali,Hamzeh Aljawawdeh,Sami Abuezhayeh,Eman Qaddoumi
#Machine learning techniques
#decision trees
#random forest
#house prices
#crime rates
#house price pre-diction
A Two-Stage Method of Cervical Cancer Detection using Hybrid Classification Methods
Orasa Patsadu,Srisuda Soranunsri,Chananate Arthayukti
#Cervical cancer
#hybrid classification methods
#two stage classification
#machine learning
#healthcare
Leveraging Chicken Swarm Algorithm for Feature Selection Optimization Targeting Efficient Patients Backlog Elimination
Emna Bouazizi,Ayman E. Khedr,Amira M. Idrees
#Optimization
#chicken swarm optimization algorithm
#feature selection
#logistics
#supply chain management
#backlogs
Leveraging Chicken Swarm Algorithm for Feature Selection Optimization Targeting Efficient Patients Backlog Elimination
Emna Bouazizi,Ayman E. Khedr,Amira M. Idrees
#Optimization
#chicken swarm optimization algorithm
#feature selection
#logistics
#supply chain management
#backlogs
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
Leveraging on Synthetic Data Generation Techniques to Train Machine Learning Models for Tenaga Nasional Berhad Stock Price Movement Prediction
#Stock price prediction
#machine learning
#synthetic data generation
Speech-Based Techniques for Emotion Detection in Natural Arabic Audio Files
Ashraf Kaloub,Eltyeb Abed Elgabar
#Emotion detection
#natural language processing
#machine learning
#Arabic language
#acoustic features
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
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
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
RoboGuard: Enhancing Robotic System Security with Ensemble Learning
Ali Al Maqousi,Mohammad Alauthman
#Robotic systems
#cybersecurity
#malware detection
#machine learning
#ensemble learning
#synthetic minority over-sampling technique
Phishing Detection using RDF and Random Forests Vamsee Muppavarapu, Archanaa Rajendran, and Shriram Vasudevan
cloned and victims are lured to the fake website to provide their personal as well as confidential information, sometimes it
#Phishing
# ensemble learning
# RDF models
# phishing target
# metadata
# vocabulary
# random forests
Using Deep Learning for Automatically Determining Correct Application of Basic Quranic
Jordan University of Science and Technology, Jordan
#Articulation rules (Ahkam Al-Tajweed)
# Mel-Frequency Cepstral Coefficient (MFCC)
# Linear predictive Code (LPC)
# Wavelet Packet Decomposition (WPD)
# Hidden Markov Model based Spectral Peak Location (HMM-SPL)
# Convolutional Deep Belief Network (CDBN); k-Nearest Neighbors (KNN); Support Vector Machines (SVM); Artificial Neural Network (NN)
# Random Forest (RF)
# multiclass classifier
# bagging; t-Test
Dynamic Random Forest for the Recognition of Arabic Handwritten Mathematical Symbols with A
Laboratory of Advanced Technology and Intelligent Systems, University of Sousse, Tunisia
#Arabic handwritten mathematical symbols recognition
# SH
# HOG
# CCH
# dynamic RF
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