Original/Review Paper A.10. Power Management
1. Fuzzy Adaptive Granulation Multi-Objective Multi-microgrid Energy Management

F. Sabahi

Volume 8, Issue 4 , Autumn 2020, Pages 481-489

http://dx.doi.org/10.22044/jadm.2019.6985.1828

Abstract
  This paper develops an energy management approach for a multi-microgrid (MMG) taking into account multiple objectives involving plug-in electric vehicle (PEV), photovoltaic (PV) power, and a distribution static compensator (DSTATCOM) to improve power provision sharing. In the proposed approach, there ...  Read More

Original/Review Paper
2. A Deep Model for Super-resolution Enhancement from a Single Image

N. Majidi; K. Kiani; R. Rastgoo

Volume 8, Issue 4 , Autumn 2020, Pages 451-460

http://dx.doi.org/10.22044/jadm.2020.9131.2052

Abstract
  This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model ...  Read More

Original/Review Paper
3. Multi-View Face Detection in Open Environments using Gabor Features and Neural Networks

R. Mohammadian; M. Mahlouji; A. Shahidinejad

Volume 8, Issue 4 , Autumn 2020, Pages 461-470

http://dx.doi.org/10.22044/jadm.2020.8853.2019

Abstract
  Multi-view face detection in open environments is a challenging task, due to the wide variations in illumination, face appearances and occlusion. In this paper, a robust method for multi-view face detection in open environments, using a combination of Gabor features and neural networks, is presented. ...  Read More

Original/Review Paper
4. A Monte Carlo-Based Search Strategy for Dimensionality Reduction in Performance Tuning Parameters

A. Omondi; I.A. Lukandu; G.W. Wanyembi

Volume 8, Issue 4 , Autumn 2020, Pages 471-480

http://dx.doi.org/10.22044/jadm.2020.9403.2076

Abstract
  Redundant and irrelevant features in high dimensional data increase the complexity in underlying mathematical models. It is necessary to conduct pre-processing steps that search for the most relevant features in order to reduce the dimensionality of the data. This study made use of a meta-heuristic search ...  Read More

Original/Review Paper
5. Optimizing Membership Functions using Learning Automata for Fuzzy Association Rule Mining

Z. Anari; A. Hatamlou; B. Anari; M. Masdari

Volume 8, Issue 4 , Autumn 2020, Pages 491-514

http://dx.doi.org/10.22044/jadm.2020.8928.2029

Abstract
  The Transactions in web data often consist of quantitative data, suggesting that fuzzy set theory can be used to represent such data. The time spent by users on each web page is one type of web data, was regarded as a trapezoidal membership function (TMF) and can be used to evaluate user browsing behavior. ...  Read More

Original/Review Paper
6. A Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data

J. Tayyebi; E. Hosseinzadeh

Volume 8, Issue 4 , Autumn 2020, Pages 515-523

http://dx.doi.org/10.22044/jadm.2020.9021.2038

Abstract
  The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal ...  Read More

Original/Review Paper
7. A Combinatorial Algorithm for Fuzzy Parameter Estimation with Application to Uncertain Measurements

M. Danesh; S. Danesh

Volume 8, Issue 4 , Autumn 2020, Pages 525-533

http://dx.doi.org/10.22044/jadm.2020.8610.1996

Abstract
  This paper presents a new method for regression model prediction in an uncertain environment. In practical engineering problems, in order to develop regression or ANN model for making predictions, the average of set of repeated observed values are introduced to the model as an input variable. Therefore, ...  Read More

Original/Review Paper
8. Modeling Length of Hydraulic Jump on Sloping Rough Bed using Gene Expression Programming

I Pasandideh; A. Rajabi; F. Yosefvand; S. Shabanlou

Volume 8, Issue 4 , Autumn 2020, Pages 535-544

http://dx.doi.org/10.22044/jadm.2020.7444.1886

Abstract
  Generally, length of hydraulic jump is one the most important parameters to design stilling basin. In this study, the length of hydraulic jump on sloping rough beds was predicted using Gene Expression Programming (GEP) for the first time. The Monte Carlo simulations were used to examine the ability of ...  Read More

Applied Article
9. DINGA: A Genetic-algorithm-based Method for Finding Important Nodes in Social Networks

H. Rahmani; H. Kamali; H. Shah-Hosseini

Volume 8, Issue 4 , Autumn 2020, Pages 545-555

http://dx.doi.org/10.22044/jadm.2020.9025.2040

Abstract
  Nowadays, a significant amount of studies are devoted to discovering important nodes in graph data. Social networks as graph data have attracted a lot of attention. There are various purposes for discovering the important nodes in social networks such as finding the leaders in them, i.e. the users who ...  Read More

Methodologies
10. A New Incentive Mechanism to Detect and Restrict Sybil Nodes in P2P File-Sharing Networks with a Heterogeneous Bandwidth

M. Babazadeh Shareh; H.R. Navidi; H. Haj Seyed Javadi; M. HosseinZadeh

Volume 8, Issue 4 , Autumn 2020, Pages 557-571

http://dx.doi.org/10.22044/jadm.2020.9063.2049

Abstract
  In cooperative P2P networks, there are two kinds of illegal users, namely free riders and Sybils. Free riders are those who try to receive services without any sort of cost. Sybil users are rational peers which have multiple fake identities. There are some techniques to detect free riders and Sybil users ...  Read More

Original/Review Paper
11. A Recommendation System for Finding Experts in Online Scientific Communities

S. Javadi; R. Safa; M. Azizi; Seyed A. Mirroshandel

Volume 8, Issue 4 , Autumn 2020, Pages 573-584

http://dx.doi.org/10.22044/jadm.2020.9087.2045

Abstract
  Online scientific communities are bases that publish books, journals, and scientific papers, and help promote knowledge. The researchers use search engines to find the given information including scientific papers, an expert to collaborate with, and the publication venue, but in many cases due to search ...  Read More

Applied Article
12. Joint Burst Denoising and Demosaicking via Regularization and an Efficient Alignment

R. Azizi; A. M. Latif

Volume 8, Issue 4 , Autumn 2020

http://dx.doi.org/10.22044/jadm.2020.9193.2055

Abstract
  In this work, we show that an image reconstruction from a burst of individually demosaicked RAW captures propagates demosaicking artifacts throughout the image processing pipeline. Hence, we propose a joint regularization scheme for burst denoising and demosaicking. We model the burst alignment functions ...  Read More