Original/Review Paper
1. IRVD: A Large-Scale Dataset for Classification of Iranian Vehicles in Urban Streets

H. Gholamalinejad; H. Khosravi

Articles in Press, Accepted Manuscript, Available Online from 09 June 2020

http://dx.doi.org/10.22044/jadm.2020.8438.1982

Abstract
  In recent years, vehicle classification has been one of the most important research topics. However, due to the lack of a proper dataset, this field has not been well developed as other fields of intelligent traffic management. Therefore, the preparation of large-scale datasets of vehicles for each country ...  Read More

Original/Review Paper
2. Probabilistic Reasoning and Markov Chains as Means to Improve Performance of Tuning Decisions under Uncertainty

A. Omondi; I. Lukandu; G. Wanyembi

Articles in Press, Accepted Manuscript, Available Online from 09 September 2020

http://dx.doi.org/10.22044/jadm.2020.8920.2027

Abstract
  Variable environmental conditions and runtime phenomena require developers of complex business information systems to expose configuration parameters to system administrators. This allows system administrators to intervene by tuning the bottleneck configuration parameters in response to current changes ...  Read More

Original/Review Paper
3. A Novel Hierarchical Attention-based Method for Aspect-level Sentiment Classification

A. Lakizadeh; Z. Zinaty

Articles in Press, Accepted Manuscript, Available Online from 12 September 2020

http://dx.doi.org/10.22044/jadm.2020.9579.2091

Abstract
  Aspect-level sentiment classification is an essential issue in sentiment analysis that intends to resolve the sentiment polarity of a specific aspect mentioned in the input text. Recent methods have discovered the role of aspects in sentiment polarity classification and developed various techniques to ...  Read More

Original/Review Paper
4. Detecting Sinkhole Attack in RPL-based Internet of Things Routing Protocol

M. Yadollahzadeh Tabari; Z. Mataji

Articles in Press, Accepted Manuscript, Available Online from 12 September 2020

http://dx.doi.org/10.22044/jadm.2020.9253.2060

Abstract
  The Internet of Things (IoT) is a novel paradigm in computer networks which is capable to connect things to the internet via a wide range of technologies. Due to the features of the sensors used in IoT networks and the unsecured nature of the internet, IoT is vulnerable to many internal routing attacks. ...  Read More

Original/Review Paper
5. A No-Reference Blur Metric based on Second-Order Gradients of Image

T. Askari; A. Alidadi; S.R. Arab

Articles in Press, Accepted Manuscript, Available Online from 13 December 2020

http://dx.doi.org/10.22044/jadm.2020.9309.2068

Abstract
  Estimation of blurriness value in image is an important issue in image processing applications such as image deblurring. In this paper, a no-reference blur metric with low computational cost is proposed, which is based on the difference between the second order gradients of a sharp image and the one ...  Read More

Original/Review Paper
6. An Image Restoration Architecture using Abstract Features and Generative Models

A. Fakhari; K. Kiani

Articles in Press, Accepted Manuscript, Available Online from 14 December 2020

http://dx.doi.org/10.22044/jadm.2020.9691.2101

Abstract
  Image restoration and its different variations are important topics in low-level image processing. One of the main challenges in image restoration is dependency of current methods to the corruption characteristics. In this paper, we have proposed an image restoration architecture that enables us to address ...  Read More

Technical Paper
7. Face Recognition using Color and Edge Orientation Difference Histogram

S. Asadi Amiri; M. Rajabinasab

Articles in Press, Accepted Manuscript, Available Online from 09 January 2021

http://dx.doi.org/10.22044/jadm.2020.9376.2072

Abstract
  Face recognition is a challenging problem because of different illuminations, poses, facial expressions, and occlusions. In this paper, a new robust face recognition method is proposed based on color and edge orientation difference histogram. Firstly, color and edge orientation difference histogram is ...  Read More

Original/Review Paper
8. A Novel Approach to Communicate with Video Game Character using Cascade Classifiers

M. Mohammadzadeh; H. Khosravi

Articles in Press, Accepted Manuscript, Available Online from 09 January 2021

http://dx.doi.org/10.22044/jadm.2020.9788.2110

Abstract
  Today, video games have a special place among entertainment. In this article, we have developed an interactive video game for mobile devices. In this game, the user can control the game’s character by his face and hand gestures. Cascading classifiers along with Haar-like features and local binary ...  Read More

Original/Review Paper
9. Estimating Pier Scour Depth: Comparison of Empirical Formulations with ANNs, GMDH, MARS, and Kriging

M. Zarbazoo Siahkali; A.A. Ghaderi; Abdol H. Bahrpeyma; M. Rashki; N. Safaeian Hamzehkolaei

Articles in Press, Accepted Manuscript, Available Online from 13 January 2021

http://dx.doi.org/10.22044/jadm.2020.10085.2147

Abstract
  Scouring, occurring when the water flow erodes the bed materials around the bridge pier structure, is a serious safety assessment problem for which there are many equations and models in the literature to estimate the approximate scour depth. This research is aimed to study how surrogate models estimate ...  Read More

Original/Review Paper
10. Automatic Persian Text Emotion Detection using Cognitive Linguistic and Deep Learning

Seyedeh S. Sadeghi; H. Khotanlou; M. Rasekh Mahand

Articles in Press, Accepted Manuscript, Available Online from 18 January 2021

http://dx.doi.org/10.22044/jadm.2020.9992.2136

Abstract
  In the modern age, written sources are rapidly increasing. A growing number of these data are related to the texts containing the feelings and opinions of the users. Thus, reviewing and analyzing of emotional texts have received a particular attention in recent years. A System which is based on combination ...  Read More

Original/Review Paper
11. Convolutional Neural Network Equipped with Attention Mechanism and Transfer Learning for Enhancing Performance of Sentiment Analysis

H. Sadr; Mir M. Pedram; M. Teshnehlab

Articles in Press, Accepted Manuscript, Available Online from 07 February 2021

http://dx.doi.org/10.22044/jadm.2021.9618.2100

Abstract
  With the rapid development of textual information on the web, sentiment analysis is changing to an essential analytic tool rather than an academic endeavor and numerous studies have been carried out in recent years to address this issue. By the emergence of deep learning, deep neural networks have attracted ...  Read More

Original/Review Paper
12. Feature Selection based on Particle Swarm Optimization and Mutual Information

Z. Shojaee; Seyed A. Shahzadeh Fazeli; E. Abbasi; F. Adibnia

Articles in Press, Accepted Manuscript, Available Online from 17 February 2021

http://dx.doi.org/10.22044/jadm.2020.8857.2020

Abstract
  Today, feature selection, as a technique to improve the performance of the classification methods, has been widely considered by computer scientists. As the dimensions of a matrix has a huge impact on the performance of processing on it, reducing the number of features by choosing the best subset of ...  Read More

Original/Review Paper
13. Facial Expression Recognition based on Image Gradient and Deep Convolutional Neural Network

M. R. Fallahzadeh; F. Farokhi; A. Harimi; R. Sabbaghi-Nadooshan

Articles in Press, Accepted Manuscript, Available Online from 17 February 2021

http://dx.doi.org/10.22044/jadm.2021.9898.2121

Abstract
  Facial Expression Recognition (FER) is one of the basic ways of interacting with machines and has been getting more attention in recent years. In this paper, a novel FER system based on a deep convolutional neural network (DCNN) is presented. Motivated by the powerful ability of DCNN to learn features ...  Read More

Original/Review Paper
14. GroupRank: Ranking Online Social Groups Based on User Membership Records

A. Hashemi; M. A. Zare Chahooki

Articles in Press, Accepted Manuscript, Available Online from 22 February 2021

http://dx.doi.org/10.22044/jadm.2020.8337.1973

Abstract
  Social networks are valuable sources for marketers. Marketers can publish campaigns to reach target audiences according to their interest. Although Telegram was primarily designed as an instant messenger, it is used as a social network in Iran due to censorship of Facebook, Twitter, etc. Telegram neither ...  Read More

Original/Review Paper
15. Bio-inspired Computing Paradigm for Periodic‎ Noise Reduction in Digital Images

N. Alibabaie; A.M. Latif

Articles in Press, Accepted Manuscript, Available Online from 22 February 2021

http://dx.doi.org/10.22044/jadm.2020.9358.2071

Abstract
  Periodic noise reduction is a fundamental problem in image processing, which severely affects the visual quality and subsequent application of the data. Most of the conventional approaches are only dedicated to either the frequency or spatial domain. In this research, we propose a dual-domain approach ...  Read More

Original/Review Paper
16. A Distributed Sailfish Optimizer Based on Multi-Agent Systems for Solving Non-Convex and Scalable Optimization Problems Implemented on GPU

S. Shadravan; H. Naji; V. Khatibi

Articles in Press, Accepted Manuscript, Available Online from 27 February 2021

http://dx.doi.org/10.22044/jadm.2020.9389.2075

Abstract
  The SailFish Optimizer (SFO) is a metaheuristic algorithm inspired by a group of hunting sailfish that alternates their attacks on group of prey. The SFO algorithm takes advantage of using a simple method for providing the dynamic balance between exploration and exploitation phases, creating the swarm ...  Read More

Original/Review Paper
17. Online Recommender System Considering Changes in User's Preference

J. Hamidzadeh; M. Moradi

Articles in Press, Accepted Manuscript, Available Online from 06 March 2021

http://dx.doi.org/10.22044/jadm.2020.9518.2085

Abstract
  Recommender systems extract unseen information for predicting the next preferences. Most of these systems use additional information such as demographic data and previous users' ratings to predict users' preferences but rarely have used sequential information. In streaming recommender systems, the emergence ...  Read More

Original/Review Paper
18. ParsNER-Social: A Corpus for Named Entity Recognition in Persian Social Media Texts

M. Asgari-Bidhendi; B. Janfada; O. R. Roshani Talab; B. Minaei-Bidgoli

Articles in Press, Accepted Manuscript, Available Online from 08 March 2021

http://dx.doi.org/10.22044/jadm.2020.9949.2143

Abstract
  Named Entity Recognition (NER) is one of the essential prerequisites for many natural language processing tasks. All public corpora for Persian named entity recognition, such as ParsNERCorp and ArmanPersoNERCorpus, are based on the Bijankhan corpus, which is originated from the Hamshahri newspaper in ...  Read More