ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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The International Arab Journal of Information Technology
(IAJIT)
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Application of Decomposition Expression in Digital Video Object Segmentation
Jianfu Kong
#Video object segmentation
#unsupervised
#deep learning
#decomposing expression
#feature
#bottleneck operator
#foreground segmentation
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
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
An Unsupervised Feed Forward Neural Network Method for Efficient Clustering
Roya Asadi,Mitra Asadi,Shokoofeh Asadi
#Artificial neural network
#feed forward neural network
#unsupervised learning
#clustering
#real weight
A Hadoop Based Approach for Community Detection on Social Networks Using Leader Nodes
Mohamed Iqbal,Kesavarao Latha
#Social network
#big data
#map reduce
#community detection
#leader nodes
Deep Learning Inpainting Model on Digital and Medical Images-A Review
Jennyfer Susan,Parthasarathy Subashini
#Image inpainting
#image restoration
#deep learning
#supervised method
#unsupervised method
2008 Optimal Fuzzy Clustering in Overlapping Clusters
, Khadija Slaoui 3
#Unsupervised clustering
# cluster validity index
# optimal clusters number
# overlapping clusters
# maximum entropy principle
Modified Binary Bat Algorithm for Feature Selection in Unsupervised Learning
Abstract: Feature selection is the process of selecting a subset of optimal features by removing redundant and irrelevant
#Feature selection
# unsupervised learning
# binary bat algorithm
# mutation
Hyperspectral Image Segmentation Based on Enhanced Estimation of Centroid with Fast K-
India
#Fast k-means
# fast k-mean (weight)
# fast k- means (careful seeding)
# and particle swarm clustering algorithm
Incorporating Unsupervised Machine Learning
Maragathavalli Palanivel and Kanmani Selvadurai
#Test case selection and prioritization
# group-wise clustering
A Robust Segmentation Approach for Noisy Medical Images Using Fuzzy Clustering With Spatial Probability
Abstract: Image segmentation plays a major role in medical im aging applications. During last decades, developing robust
# Image segmentation
# medical images
# Magnetic Resona nce Imaging (MRI)
# clustering
# FCM
# histogram
# membership function
# spatial probability
# denoising
# Principal Component Analysis (PCA)
# Local Pixel G rouping (LPG)
A New Approach for A Domain-Independent Turkish Sentiment Seed Lexicon Compilation
Ekin Ekinci and Sevinç Omurca
#Sentiment lexicon
# beam search
# pattern generation
# turkish language
# unsupervised framework
Conceptual Persian Text Summarizer: A New Model in Continuous Vector Space
Mohammad Ebrahim Khademi, Mohammad Fakhredanesh, and Seyed Mojtaba Hoseini
#Extractive Text Summarization
# Unsupervised Learning
# Language Independent Summarization
# Continuous Vector Space
# Word Embedding
# Natural Language Processing
FAAD: A Self-Optimizing Algorithm for Anomaly Detection
Adeel Hashmi and Tanvir Ahmad
#Anomaly detection
# outliers
# firefly algorithm
# big data
# parallel algorithms and apache spark
Generating Sense Inventories for Ambiguous Arabic Words
Marwah Alian1 and Arafat Awajan1,2 1King Hussein School of Computing Sciences, Princess Sumaya University for Technology, Jordan 2Information Technology College, Computer Science Department, Mutah University, Jordan
#Word sense induction
# word sense disambiguation
# arabic text
# sense inventory
Applying Deep Convolutional Neural Network (DCNN) Algorithm in the Cloud Autonomous Vehicles Traffic Model
Dhaya Ramakrishnan,Kanthavel Radhakrishnan
#Cloud computing
#neural network
#prediction model
#resource selection
Object Modeling of Filter-Oriented Systems of Attention: Possibilities of Integration
#Lithofacies
#differed well logging
#self-organized map
#probabilistic formalism
#classification
#underground cores
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