H.6.3.2. Feature evaluation and selection
Feature reduction of hyperspectral images: Discriminant analysis and the first principal component

Maryam Imani; Hassan Ghassemian

Volume 3, Issue 1 , March 2015, , Pages 1-9

http://dx.doi.org/10.5829/idosi.JAIDM.2015.03.01.01

Abstract
  When the number of training samples is limited, feature reduction plays an important role in classification of hyperspectral images. In this paper, we propose a supervised feature extraction method based on discriminant analysis (DA) which uses the first principal component (PC1) to weight the scatter ...  Read More

H.3.8. Natural Language Processing
An improved joint model: POS tagging and dependency parsing

A. Pakzad; B. Minaei Bidgoli

Volume 4, Issue 1 , March 2016, , Pages 1-8

http://dx.doi.org/10.5829/idosi.JAIDM.2016.04.01.01

Abstract
  Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. Part-Of-Speech (POS) tagging is a prerequisite for dependency parsing. Generally, dependency parsers do ...  Read More

F.2.7. Optimization
Optimization of fuzzy membership functions via PSO and GA with application to quad rotor

B. Safaee; S. K. Kamaleddin Mousavi Mashhadi

Volume 5, Issue 1 , March 2017, , Pages 1-10

http://dx.doi.org/10.22044/jadm.2016.747

Abstract
  Quad rotor is a renowned underactuated Unmanned Aerial Vehicle (UAV) with widespread military and civilian applications. Despite its simple structure, the vehicle suffers from inherent instability. Therefore, control designers always face formidable challenge in stabilization and control goal. In this ...  Read More

H.5. Image Processing and Computer Vision
Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images

M. Shakeri; M.H. Dezfoulian; H. Khotanlou

Volume 6, Issue 1 , March 2018, , Pages 1-12

http://dx.doi.org/10.22044/jadm.2017.910

Abstract
  Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image. To overcome this problem and to have a better image contrast ...  Read More

H.5. Image Processing and Computer Vision
Pedestrian Detection in Infrared Outdoor Images Based on Atmospheric Situation Estimation

Seyed M. Ghazali; Y. Baleghi

Volume 7, Issue 1 , January 2019, , Pages 1-16

http://dx.doi.org/10.22044/jadm.2018.5742.1696

Abstract
  Observation in absolute darkness and daytime under every atmospheric situation is one of the advantages of thermal imaging systems. In spite of increasing trend of using these systems, there are still lots of difficulties in analysing thermal images due to the variable features of pedestrians and atmospheric ...  Read More

H.6.5.2. Computer vision
Camera Arrangement in Visual 3D Systems using Iso-disparity Model to Enhance Depth Estimation Accuracy

M. Karami; A. Moosavie nia; M. Ehsanian

Volume 8, Issue 1 , January 2020, , Pages 1-12

http://dx.doi.org/10.22044/jadm.2019.7209.1855

Abstract
  In this paper we address the problem of automatic arrangement of cameras in a 3D system to enhance the performance of depth acquisition procedure. Lacking ground truth or a priori information, a measure of uncertainty is required to assess the quality of reconstruction. The mathematical model of iso-disparity ...  Read More

QoS-Based web service composition based on genetic algorithm

Mohammad AllamehAmiri; Vali Derhami; Mohammad Ghasemzadeh

Volume 1, Issue 2 , July 2013, , Pages 63-73

http://dx.doi.org/10.22044/jadm.2013.97

Abstract
  Quality of service (QoS) is an important issue in the design and management of web service composition. QoS in web services consists of various non-functional factors, such as execution cost, execution time, availability, successful execution rate, and security. In recent years, the number of available ...  Read More

On improving APIT algorithm for better localization in WSN

Seyed M. Hosseinirad; M. Niazi; J Pourdeilami; S. K. Basu; A. A. Pouyan

Volume 2, Issue 2 , July 2014, , Pages 97-104

http://dx.doi.org/10.22044/jadm.2014.148

Abstract
  In Wireless Sensor Networks (WSNs), localization algorithms could be range-based or range-free. The Approximate Point in Triangle (APIT) is a range-free approach. We propose modification of the APIT algorithm and refer as modified-APIT. We select suitable triangles with appropriate distance between anchors ...  Read More

H.6. Pattern Recognition
IRDDS: Instance reduction based on Distance-based decision surface

J. Hamidzadeh

Volume 3, Issue 2 , July 2015, , Pages 121-130

http://dx.doi.org/10.5829/idosi.JAIDM.2015.03.02.01

Abstract
  In instance-based learning, a training set is given to a classifier for classifying new instances. In practice, not all information in the training set is useful for classifiers. Therefore, it is convenient to discard irrelevant instances from the training set. This process is known as instance reduction, ...  Read More

H.8. Document and Text Processing
Plagiarism checker for Persian (PCP) texts using hash-based tree representative fingerprinting

Sh. Rafieian; A. Baraani dastjerdi

Volume 4, Issue 2 , July 2016, , Pages 125-133

http://dx.doi.org/doi: 10.5829/idosi.JAIDM.2016.04.02.01

Abstract
  With due respect to the authors’ rights, plagiarism detection, is one of the critical problems in the field of text-mining that many researchers are interested in. This issue is considered as a serious one in high academic institutions. There exist language-free tools which do not yield any reliable ...  Read More

C.3. Software Engineering
Evaluation of Classifiers in Software Fault-Proneness Prediction

F. Karimian; S. M. Babamir

Volume 5, Issue 2 , July 2017, , Pages 149-167

http://dx.doi.org/10.22044/jadm.2016.825

Abstract
  Reliability of software counts on its fault-prone modules. This means that the less software consists of fault-prone units the more we may trust it. Therefore, if we are able to predict the number of fault-prone modules of software, it will be possible to judge the software reliability. In predicting ...  Read More

J.10.3. Financial
Credit Card Fraud Detection using Data mining and Statistical Methods

S. Beigi; M.R. Amin Naseri

Volume 8, Issue 2 , April 2020, , Pages 149-160

http://dx.doi.org/10.22044/jadm.2019.7506.1894

Abstract
  Due to today’s advancement in technology and businesses, fraud detection has become a critical component of financial transactions. Considering vast amounts of data in large datasets, it becomes more difficult to detect fraud transactions manually. In this research, we propose a combined method ...  Read More

H.3. Artificial Intelligence
MEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection

Z. Karimi Zandian; M. R. Keyvanpour

Volume 7, Issue 2 , April 2019, , Pages 213-224

http://dx.doi.org/10.22044/jadm.2018.6311.1746

Abstract
  Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods ...  Read More

H.5. Image Processing and Computer Vision
Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks

M. Amin-Naji; A. Aghagolzadeh

Volume 6, Issue 2 , July 2018, , Pages 233-250

http://dx.doi.org/10.22044/jadm.2017.5169.1624

Abstract
  The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced ...  Read More

Chaotic-based Particle Swarm Optimization with Inertia Weight for Optimization Tasks

N. Mobaraki; R. Boostani; M. Sabeti

Volume 8, Issue 3 , July 2020, , Pages 303-312

http://dx.doi.org/10.22044/jadm.2020.8594.1993

Abstract
  Among variety of meta-heuristic population-based search algorithms, particle swarm optimization (PSO) with adaptive inertia weight (AIW) has been considered as a versatile optimization tool, which incorporates the experience of the whole swarm into the movement of particles. Although the exploitation ...  Read More

H.6.3.2. Feature evaluation and selection
MLIFT: Enhancing Multi-label Classifier with Ensemble Feature Selection

Sh kashef; H. Nezamabadi-pour

Volume 7, Issue 3 , July 2019, , Pages 355-365

http://dx.doi.org/10.22044/jadm.2018.5780.1688

Abstract
  Multi-label classification has gained significant attention during recent years, due to the increasing number of modern applications associated with multi-label data. Despite its short life, different approaches have been presented to solve the task of multi-label classification. LIFT is a multi-label ...  Read More

H.5. Image Processing and Computer Vision
Morphological Exudate Detection in Retinal Images using PCA-based Optic Disc Removal

J. Darvish; M. Ezoji

Volume 7, Issue 4 , November 2019, , Pages 487-493

http://dx.doi.org/10.22044/jadm.2019.1488

Abstract
  Diabetic retinopathy lesion detection such as exudate in fundus image of retina can lead to early diagnosis of the disease. Retinal image includes dark areas such as main blood vessels and retinal tissue and also bright areas such as optic disk, optical fibers and lesions e.g. exudate. In this paper, ...  Read More

Outlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis

Mohammad Ahmadi Livani; mahdi Abadi; Meysam Alikhany; Meisam Yadollahzadeh Tabari

Volume 1, Issue 1 , March 2013, , Pages 1-11

http://dx.doi.org/10.22044/jadm.2013.98

Abstract
  Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficient ...  Read More

H.3.2.2. Computer vision
Isolated Persian/Arabic handwriting characters: Derivative projection profile features, implemented on GPUs

M. Askari; M. Asadi; A. Asilian Bidgoli; H. Ebrahimpour

Volume 4, Issue 1 , March 2016, , Pages 9-17

http://dx.doi.org/10.5829/idosi.JAIDM.2016.04.01.02

Abstract
  For many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. However, an issue that has rarely been studied is the speed of these methods. Considering the computer hardware limitations, it is necessary for these methods to ...  Read More

Impact of linear dimensionality reduction methods on the performance of anomaly detection algorithms in hyperspectral images

Mohsen Zare-Baghbidi; Saeid Homayouni; Kamal Jamshidi; A. R. Naghsh-Nilchi

Volume 3, Issue 1 , March 2015, , Pages 11-20

http://dx.doi.org/10.5829/idosi.JAIDM.2015.03.01.02

Abstract
  Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis. The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. One way to improve the performance and runtime of these algorithms ...  Read More

A.1. General
Sub-transmission sub-station expansion planning based on bacterial foraging optimization algorithm

H. Kiani Rad; Z. Moravej

Volume 5, Issue 1 , March 2017, , Pages 11-20

http://dx.doi.org/10.22044/jadm.2016.734

Abstract
  In recent years, significant research efforts have been devoted to the optimal planning of power systems. Substation Expansion Planning (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders ...  Read More

H.5.11. Image Representation
Image Restoration by Variable Splitting based on Total Variant Regularizer

E. Sahragard; H. Farsi; S. Mohammadzadeh

Volume 6, Issue 1 , March 2018, , Pages 13-33

http://dx.doi.org/10.22044/jadm.2017.963

Abstract
  The aim of image restoration is to obtain a higher quality desired image from a degraded image. In this strategy, an image inpainting method fills the degraded or lost area of the image by appropriate information. This is performed in such a way so that the obtained image is undistinguishable for a casual ...  Read More

F.4. Probability and Statistics
A Sharp Sufficient Condition for Sparsity Pattern Recovery

Z. Shaeiri; M. R. Karami; A. Aghagolzadeh

Volume 8, Issue 1 , January 2020, , Pages 13-23

http://dx.doi.org/10.22044/jadm.2019.6908.1810

Abstract
  Sufficient number of linear and noisy measurements for exact and approximate sparsity pattern/support set recovery in the high dimensional setting is derived. Although this problem as been addressed in the recent literature, there is still considerable gaps between those results and the exact limits ...  Read More

H.3.12. Distributed Artificial Intelligence
Improving LNMF Performance of Facial Expression Recognition via Significant Parts Extraction using Shapley Value

M. Rezaei; V. Derhami

Volume 7, Issue 1 , January 2019, , Pages 17-25

http://dx.doi.org/10.22044/jadm.2017.4676.1554

Abstract
  Nonnegative Matrix Factorization (NMF) algorithms have been utilized in a wide range of real applications. NMF is done by several researchers to its part based representation property especially in the facial expression recognition problem. It decomposes a face image into its essential parts (e.g. nose, ...  Read More

Delay-dependent stability for transparent bilateral teleoperation system: an LMI approach

Alireza Khosravi; Alireza Alfi; Amir Roshandel

Volume 1, Issue 2 , July 2013, , Pages 75-87

http://dx.doi.org/10.22044/jadm.2013.101

Abstract
  There are two significant goals in teleoperation systems: Stability and performance. This paper introduces an LMI-based robust control method for bilateral transparent teleoperation systems in presence of model mismatch. The uncertainties in time delay in communication channel, task environment and model ...  Read More