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: pattern recognition
Editorial Board
Technical Committee
Instruction to Authors
Article Processing Charges
Submit your Paper
Track your Paper
Review Paper
Instructions to Reviewers
Statistics
Analysis of QA System Behavior against Context and Question Changes
Rachid Karra,Abdelali Lasfar
#Adversarial attacks
#BERT
#data quality
#question answering
#simplification
FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks
Jun Wang,Yuanxi Wang
#CNN
#GAN
#hydrogen gas
#sensors
#fault
#pattern recognition
Analysis of QA System Behavior against Context and Question Changes
Rachid Karra,Abdelali Lasfar
#Adversarial attacks
#BERT
#data quality
#question answering
#simplification
FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks
Jun Wang,Yuanxi Wang
#CNN
#GAN
#hydrogen gas
#sensors
#fault
#pattern recognition
Pattern Recognition Using the Concept of Disjoint Matrix of MIMO System
Mezbahul Islam,Rahmina Rubaiat,Imdadul Islam,Mostafizur Rahaman,Mohamed Ruhul Amin
#Uncoupled MIMO links
#eigenvalues
#unitary matrix
#noise and channel matrix
Design and Study of Zombie Enterprise Classification and Recognition Systems Based on Ensemble Learning
Shutong Pang,Ziwei Yang,Chengyou Cai,Zhimin Li
#Integrated learning
#corporate portrait
#classification and identification
#strong supervision model
A Comparative Study in Wavelets, Curvelets
Angshul Majumdar 1
#Curvelet
# contourlet
# face recognition
# character recognition
An SNR Unaware Large Margin Automatic Modulations Classifier in Variable SNR
Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad
#Automatic modulation classification
# pattern recognition
# partially supervised classification
#passive-aggressive classifier
# SNR un-aware classification
Generalization of Impulse Noise Removal Hussain Dawood1, Hassan Dawood2, and Ping Guo3 1Faculty of Computing and Information Technology, University of Jeddah, Saudi Arabia 2Department of Software Engineering, University of Engineering and Technology, Pakistan 3Image Processing and Pattern Recognition Laboratory, Beijing Normal University, China
are proposed to increase from four to eight directions to preserve the edges and to identify the noise, effectively. Modified
#Directional weighted median filter
# multi-texton
# impulse noise
# random-valued impulse noise
# salt-and-pepper noise
# noise identification
# modified switching median filter
Impulse Noise Reduction for Texture Images Using Real Word Spelling Correction Algorithm and
1Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran 2Department of Computer Science and Engineering, Shiraz University, Shiraz, Iran
#Image noise reduction
# local binary pattern
# real word spelling correction
# texture analysis
Consensus-Based Combining Method for Classifier
Abstract: In this paper, a new method for combining an ensemble of classifiers, called Consensus-based Combining Method
#Artificial intelligence
# classification
# machine learning
# pattern recognition
# classifier ensembles
# consensus theory
# combining methods
# majority voting
# mean method
# product method
Improving Classification Performance Using Genetic Programming to Evolve String Kernels
Ruba Sultan1, Hashem Tamimi1,2, and Yaqoub Ashhab2 1College of IT and Computer Engineering, Palestine Polytechnic University, Palestine 2Palestine-Korea Biotechnology Center, Palestine Polytechnic University, Palestine
#Support vector machine
# string kernels
# genetic programming
# pattern recognition
Wrapper based Feature Selection using Integrative Teaching Learning Based Optimization Algorithm
Mohan Allam and Nandhini Malaiyappan
#Feature Selection
# Integrative Teaching Learning based Optimization
# Genetic Algorithm
# Breast Cancer
A Hierarchical Neuro-Fuzzy MRAC of a Robot in Flexible Manufacturing Environment
Kasim Al-Aubidy,Mohammed Ali
#MRAC
#mean-tracking clustering algorithm
#MLP neural nets
#computer control
#real-time systems
#robots
#FMS
All Rights reserved to IAJIT 2024
Powered by:
TurnPoint