Technical Paper
Data Mining-based Structural Damage Identification of Composite Bridge using Support Vector Machine

M. Gordan; Saeed R. Sabbagh-Yazdi; Z. Ismail; Kh. Ghaedi; H. Hamad Ghayeb

Volume 9, Issue 4 , November 2021, Pages 415-423

http://dx.doi.org/10.22044/jadm.2021.10430.2182

Abstract
  A structural health monitoring system contains two components, i.e. a data collection approach comprising a network of sensors for recording the structural responses as well as an extraction methodology in order to achieve beneficial information on the structural health condition. In this regard, data ...  Read More

Original/Review Paper
Water Meter Replacement Recommendation for Municipal Water Distribution Networks using Ensemble Outlier Detection Methods

F. Kaveh-Yazdy; S. Zarifzadeh

Volume 9, Issue 4 , November 2021, Pages 425-438

http://dx.doi.org/10.22044/jadm.2021.10672.2202

Abstract
  Due to their structure and usage condition, water meters face degradation, breaking, freezing, and leakage problems. There are various studies intended to determine the appropriate time to replace degraded ones. Earlier studies have used several features, such as user meteorological parameters, usage ...  Read More

Original/Review Paper
Object Segmentation using Local Histograms, Invasive Weed Optimization Algorithm and Texture Analysis

S. Bayatpour; Seyed M. H. Hasheminejad

Volume 9, Issue 4 , November 2021, Pages 439-449

http://dx.doi.org/10.22044/jadm.2021.10200.2158

Abstract
  Most of the methods proposed for segmenting image objects are supervised methods which are costly due to their need for large amounts of labeled data. However, in this article, we have presented a method for segmenting objects based on a meta-heuristic optimization which does not need any training data. ...  Read More

Applied Article
DENOVA: Predicting Five-Factor Model using Deep Learning based on ANOVA

M. Nasiri; H. Rahmani

Volume 9, Issue 4 , November 2021, Pages 451-463

http://dx.doi.org/10.22044/jadm.2021.10471.2186

Abstract
  Determining the personality dimensions of individuals is very important in psychological research. The most well-known example of personality dimensions is the Five-Factor Model (FFM). There are two approaches 1- Manual and 2- Automatic for determining the personality dimensions. In a manual approach, ...  Read More

Methodologies
Software Testing using an Adaptive Genetic Algorithm

A.H. Damia; M. Esnaashari; M.R. Parvizimosaed

Volume 9, Issue 4 , November 2021, Pages 465-474

http://dx.doi.org/10.22044/jadm.2021.10018.2138

Abstract
  In the structural software test, test data generation is essential. The problem of generating test data is a search problem, and for solving the problem, search algorithms can be used. Genetic algorithm is one of the most widely used algorithms in this field. Adjusting genetic algorithm parameters helps ...  Read More

Original/Review Paper
Multi-Sentence Hierarchical Generative Adversarial Network GAN (MSH-GAN) for Automatic Text-to-Image Generation

E. Pejhan; M. Ghasemzadeh

Volume 9, Issue 4 , November 2021, Pages 475-485

http://dx.doi.org/10.22044/jadm.2021.10837.2224

Abstract
  This research is related to the development of technology in the field of automatic text to image generation. In this regard, two main goals are pursued; first, the generated image should look as real as possible; and second, the generated image should be a meaningful description of the input text. our ...  Read More

Original/Review Paper
Improving Speed and Efficiency of Dynamic Programming Methods through Chaos

H. Khodadadi; V. Derhami

Volume 9, Issue 4 , November 2021, Pages 487-496

http://dx.doi.org/10.22044/jadm.2021.10520.2191

Abstract
  A prominent weakness of dynamic programming methods is that they perform operations throughout the entire set of states in a Markov decision process in every updating phase. This paper proposes a novel chaos-based method to solve the problem. For this purpose, a chaotic system is first initialized, and ...  Read More

Original/Review Paper
A Multi-objective Approach based on Competitive Optimization Algorithm and its Engineering Applications

Y. Sharafi; M. Teshnelab; M. Ahmadieh Khanesar

Volume 9, Issue 4 , November 2021, Pages 497-514

http://dx.doi.org/10.22044/jadm.2021.10698.2204

Abstract
  A new multi-objective evolutionary optimization algorithm is presented based on the competitive optimization algorithm (COOA) to solve multi-objective optimization problems (MOPs). Based on nature-inspired competition, the competitive optimization algorithm acts between animals such as birds, cats, bees, ...  Read More

Technical Paper
An Intelligent Model for Prediction of In-Vitro Fertilization Success using MLP Neural Network and GA Optimization

E. Feli; R. Hosseini; S. Yazdani

Volume 9, Issue 4 , November 2021, Pages 515-523

http://dx.doi.org/10.22044/jadm.2021.10718.2208

Abstract
  In Vitro Fertilization (IVF) is one of the scientifically known methods of infertility treatment. This study aimed at improving the performance of predicting the success of IVF using machine learning and its optimization through evolutionary algorithms. The Multilayer Perceptron Neural Network (MLP) ...  Read More

Original/Review Paper
An Efficient Hybrid Method for Semantic Web Service Discovery

P. Farzi; R. Akbari

Volume 9, Issue 4 , November 2021, Pages 525-541

http://dx.doi.org/10.22044/jadm.2021.9958.2132

Abstract
  Abstract: Web service is a technology for defining self-describing objects, structural-based, and loosely coupled applications. They are accessible all over the web and provide a flexible platform. Although service registries such as Universal Description, Discovery, and Integration (UDDI) provide facilities ...  Read More

Original/Review Paper
A New Data-driven and Knowledge-driven Multi-criteria Decision-making Method

Y. Dorfeshan; R. Tavakkoli-Moghaddam; F. Jolai; S.M. Mousavi

Volume 9, Issue 4 , November 2021, Pages 543-554

http://dx.doi.org/10.22044/jadm.2021.10803.2218

Abstract
  Multi-criteria decision-making (MCDM) methods have been received considerable attention for solving problems with a set of alternatives and conflict criteria in the last decade. Previously, MCDM methods have primarily relied on the judgment and knowledge of experts for making decisions. This paper introduces ...  Read More

Applied Article
An Executive Model to Improve Reasoning and Realization in Ontology using Fuzzy-Colored Petri Nets

M. Shokohi nia; A. Dideban; F. Yaghmaee

Volume 9, Issue 4 , November 2021, Pages 555-570

http://dx.doi.org/10.22044/jadm.2021.10706.2206

Abstract
  Despite success of ontology in knowledge representation, its reasoning is still challenging. The most important challenge in reasoning of ontology-based methods is improving realization in the reasoning process. The time complexity of the realization problem-solving process is equal to that of NEXP Time. ...  Read More

Original/Review Paper
Robust Vein Recognition against Rotation using Kernel Sparse Representation

A. Nozaripour; H. Soltanizadeh

Volume 9, Issue 4 , November 2021, Pages 571-582

http://dx.doi.org/10.22044/jadm.2021.10253.2164

Abstract
  Sparse representation due to advantages such as noise-resistant and, having a strong mathematical theory, has been noticed as a powerful tool in recent decades. In this paper, using the sparse representation, kernel trick, and a different technique of the Region of Interest (ROI) extraction which we ...  Read More

Original/Review Paper
Hybrid Particle Swarm Optimization with Ant-Lion Optimization: Experimental in Benchmarks and Applications

Z. Hassani; M. Alambardar Meybodi

Volume 9, Issue 4 , November 2021, Pages 583-595

http://dx.doi.org/10.22044/jadm.2021.10550.2195

Abstract
  A major pitfall in the standard version of Particle Swarm Optimization (PSO) is that it might get stuck in the local optima. To escape this issue, a novel hybrid model based on the combination of PSO and AntLion Optimization (ALO) is proposed in this study. The proposed method, called H-PSO-ALO, uses ...  Read More