ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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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
Canine Disease Prediction using Multi-Directional Intensity Proportional Pattern with Correlated Textural Neural Network
Ayesha Taranum,Jyoti Metan,Prasad Yogegowda,Chandrashekar Krishnappa
#Data optimization
#pattern extraction in big data
#multi-directional intensity proportional pattern
#similarity measure system
#correlated textural neural network
#test prediction
Using Deep Learning for Profitable Concrete Forecasting Methods
Ayat Al-Hinawi,Radwan Alelaimat
#Concrete performance prediction
#machine learning
#deep learning
#construction management
#regression
3D VAE Video Prediction Model with Kullback Leibler Loss Enhancement
Zahraa Al Mokhtar,Shefa Dawwd
#3D sampling stage
#kullback leibler loss
#temporal 3D sampling stage
#three dimensional RNN layers
#variational autoencoder
Unmanned Target Vehicle Navigation and Path Planning Using Improved Ant Colony Optimization Algorithm Combined with GPS/BDS
Rongli Cai
#Ant colony
#BDS
#GPS
#path planning
#unmanned target vehicle
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
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
Turning Point Induced Knowledge Forecasting under Uncertainties (TrIK)
Jagtap Vinyak,Kulkarni Parag,Joshi Pallavi
#Time series forecasting
#shoulder area
#turning point
#knowledge discovery
#surprise
#uncertainty
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
Usage of Statistical Techniques to Monitor the Performance of Wind Turbines
Aditya Dubey,Pradeep Yadav,Subhash Chandra Patel
#AEP
#sigmoid
#RELU
#softmax
#TANH
#wind power curve model
#statistical model
Turning Point Induced Knowledge Forecasting under Uncertainties (TrIK)
Jagtap Vinyak,Kulkarni Parag,Joshi Pallavi
#Time series forecasting
#shoulder area
#turning point
#knowledge discovery
#surprise
#uncertainty
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
Usage of Statistical Techniques to Monitor the Performance of Wind Turbines
Aditya Dubey,Pradeep Yadav,Subhash Chandra Patel
#AEP
#sigmoid
#RELU
#softmax
#TANH
#wind power curve model
#statistical model
ERDAP: A Novel Method of Event Relation Data Augmentation Based on Relation Prediction
Ruijuan Hu,Haiyan Liu,Wentao Yu
#Relation prediction
#event relation
#data augmentation
#graph convolutional networks
#causality extraction
Deep Learning Based Feature Discriminability Boosted Concurrent Metal Surface Defect Detection System Using YOLOv-5s-FRN
Reshma Vengaloor,Roopa Muralidhar
#Classification
#defect detection
#deep learning
#FRN structure
#yolov5
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
A Probabilistic Approach to Building Defect Prediction Model for Platform-based Product Lines
Changkyun Jeon,Neunghoe Kim,Hoh In
#Defect prediction
#defect life cycle
#markov chain
#product line engineering
#software engineering
Performance Comparison of Multiple ANN Optimizer on IoT-enabled Sensor Fire Dataset
Sudip Suklabaidya,Indrani Das
#Sensor dataset
#fire detection
#ANN
#SGD
#adam
#adamax
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