ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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Statistics
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
Machine Learning Models for Statistical Analysis
Marko Grebovic,Luka Filipovic,Ivana Katnic,Milica Vukotic,Tomo Popovic
#Machine learning
#artificial neural networks
#statistical models
#accuracy measures
Prediction of Part of Speech Tags for Punjabi using Support Vector Machines
Abstract:Part-Of-Speech (POS)tagging is a task of assigning the appropriatePOSor lexical category to each word in a
#POS tagging
# SVM
#feature set
#vectorization
#machine learning
# tagger
# punjabi
# indian languages
Design and Implementation of G/G/1 Queuing Model Algorithm for its Applicability in Internet
and Riktesh Srivastava 2
#M/M/1
# G/G/1
# internet gateway server
# queuing process
Department of Electronics and Communication Enginee ring, PSG College of Technology, India.
# videocompression
#quantization
#prediction
#entrop ycoding
#multiwavelets
#scalingfunctions
A Novel Distance Based Relocation Mechanism to Enhance the Performance of Proxy
# WWW
# proxy cache
# relocation point
# path prediction
# distance based relocation
Mohammed Awad
# Clustering
# time series prediction
# RBF neural netw orks
Computing Environment
# Distributed computing
# cloud computing
# knowledge d iscovery
# rough set
Zuriani Mustaffa and Yuhanis Yusof
#ABC
# LSSVM
# financial time series prediction
# param eter tuning
Sotiris Kotsiantis
# Naive Bayes classifier
# data mining
# machine learni ng
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