Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)

H.3.12. Distributed Artificial Intelligence
A topology control algorithm for autonomous underwater robots in three-dimensional space using PSO

Z. Amiri; A. Pouyan; H Mashayekhi

Volume 3, Issue 2 , July 2015, , Pages 191-201


  Recently, data collection from seabed by means of underwater wireless sensor networks (UWSN) has attracted considerable attention. Autonomous underwater vehicles (AUVs) are increasingly used as UWSNs in underwater missions. Events and environmental parameters in underwater regions have a stochastic nature. ...  Read More

H.3.8. Natural Language Processing
Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency

B. Bokharaeian; A. Diaz

Volume 4, Issue 2 , July 2016, , Pages 203-212


  Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction ...  Read More

H.6.3.2. Feature evaluation and selection
H-BwoaSvm: A Hybrid Model for Classification and Feature Selection of Mammography Screening Behavior Data

E. Enayati; Z. Hassani; M. Moodi

Volume 8, Issue 2 , April 2020, , Pages 237-245


  Breast cancer is one of the most common cancer in the world. Early detection of cancers cause significantly reduce in morbidity rate and treatment costs. Mammography is a known effective diagnosis method of breast cancer. A way for mammography screening behavior identification is women's awareness evaluation ...  Read More

H.3. Artificial Intelligence
A Sensor-Based Scheme for Activity Recognition in Smart Homes using Dempster-Shafer Theory of Evidence

V. Ghasemi; A. Pouyan; M. Sharifi

Volume 5, Issue 2 , July 2017, , Pages 245-258


  This paper proposes a scheme for activity recognition in sensor based smart homes using Dempster-Shafer theory of evidence. In this work, opinion owners and their belief masses are constructed from sensors and employed in a single-layered inference architecture. The belief masses are calculated using ...  Read More

H.6.2.5. Statistical
Outlier Detection for Support Vector Machine using Minimum Covariance Determinant Estimator

M. Mohammadi; M. Sarmad

Volume 7, Issue 2 , April 2019, , Pages 299-309


  The purpose of this paper is to identify the effective points on the performance of one of the important algorithm of data mining namely support vector machine. The final classification decision has been made based on the small portion of data called support vectors. So, existence of the atypical observations ...  Read More

H.6. Pattern Recognition
A Geometry Preserving Kernel over Riemannian Manifolds

Kh. Sadatnejad; S. Shiry Ghidari; M. Rahmati

Volume 6, Issue 2 , July 2018, , Pages 321-334


  Abstract- Kernel trick and projection to tangent spaces are two choices for linearizing the data points lying on Riemannian manifolds. These approaches are used to provide the prerequisites for applying standard machine learning methods on Riemannian manifolds. Classical kernels implicitly project data ...  Read More

High-Dimensional Unsupervised Active Learning Method

V. Ghasemi; M. Javadian; S. Bagheri Shouraki

Volume 8, Issue 3 , July 2020, , Pages 391-407


  In this work, a hierarchical ensemble of projected clustering algorithm for high-dimensional data is proposed. The basic concept of the algorithm is based on the active learning method (ALM) which is a fuzzy learning scheme, inspired by some behavioral features of human brain functionality. High-dimensional ...  Read More

G.4. Information Storage and Retrieval
RRLUFF: Ranking function based on Reinforcement Learning using User Feedback and Web Document Features

V. Derhami; J. Paksima; H. Khajeh

Volume 7, Issue 3 , July 2019, , Pages 421-442


  Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query. The novelty of this paper is to provide user feedback-based ranking ...  Read More

H.3.5. Knowledge Representation Formalisms and Methods
Context-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network

N. Khozouie; F. Fotouhi Ghazvini; B. Minaei

Volume 7, Issue 4 , November 2019, , Pages 575-588


  Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model ...  Read More

Image retrieval using the combination of text-based and content-based algorithms

Hanieh Mohamadi; Asadollah Shahbahrami; Javad Akbari

Volume 1, Issue 1 , March 2013, , Pages 27-34


  Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color ...  Read More

H.5.10. Applications
Noisy images edge detection: Ant colony optimization algorithm

Z. Dorrani; M.S. Mahmoodi

Volume 4, Issue 1 , March 2016, , Pages 77-83


  The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant ...  Read More

I.3.7. Engineering
Evaluation of liquefaction potential based on CPT results using C4.5 decision tree

A. Ardakani; V. R. Kohestani

Volume 3, Issue 1 , March 2015, , Pages 85-92


  The prediction of liquefaction potential of soil due to an earthquake is an essential task in Civil Engineering. The decision tree is a tree structure consisting of internal and terminal nodes which process the data to ultimately yield a classification. C4.5 is a known algorithm widely used to design ...  Read More

A.10. Power Management
Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models

Kh. Valipour; A. Ghasemi

Volume 5, Issue 1 , March 2017, , Pages 89-100


  The optimal reactive power dispatch (ORPD) is a very important problem aspect of power system planning and is a highly nonlinear, non-convex optimization problem because consist of both continuous and discrete control variables. Since the power system has inherent uncertainty, hereby, this paper presents ...  Read More

H.6.5.10. Remote sensing
Nonparametric Spectral-Spatial Anomaly Detection

M. Imani

Volume 8, Issue 1 , January 2020, , Pages 95-103


  Due to abundant spectral information contained in the hyperspectral images, they are suitable data for anomalous targets detection. The use of spatial features in addition to spectral ones can improve the anomaly detection performance. An anomaly detector, called nonparametric spectral-spatial detector ...  Read More

H.5. Image Processing and Computer Vision
Parallel Spatial Pyramid Match Kernel Algorithm for Object Recognition using a Cluster of Computers

A. Asilian Bidgoli; H. Ebrahimpour-Komle; M. Askari; Seyed J. Mousavirad

Volume 7, Issue 1 , January 2019, , Pages 97-108


  This paper parallelizes the spatial pyramid match kernel (SPK) implementation. SPK is one of the most usable kernel methods, along with support vector machine classifier, with high accuracy in object recognition. MATLAB parallel computing toolbox has been used to parallelize SPK. In this implementation, ...  Read More

H.5.10. Applications
A case study for application of fuzzy inference and data mining in structural health monitoring

S. Shoorabi Sani

Volume 6, Issue 1 , March 2018, , Pages 105-120


  In this study, a system for monitoring the structural health of bridge deck and predicting various possible damages to this section was designed based on measuring the temperature and humidity with the use of wireless sensor networks, and then it was implemented and investigated. A scaled model of a ...  Read More

H.3.8. Natural Language Processing
Comparing k-means clusters on parallel Persian-English corpus

A. Khazaei; M. Ghasemzadeh

Volume 3, Issue 2 , July 2015, , Pages 203-208


  This paper compares clusters of aligned Persian and English texts obtained from k-means method. Text clustering has many applications in various fields of natural language processing. So far, much English documents clustering research has been accomplished. Now this question arises, are the results of ...  Read More

F.4.5. Markov processes
Speech enhancement based on hidden Markov model using sparse code shrinkage

E. Golrasan; H. Sameti

Volume 4, Issue 2 , July 2016, , Pages 213-218


  This paper presents a new hidden Markov model-based (HMM-based) speech enhancement framework based on the independent component analysis (ICA). We propose analytical procedures for training clean speech and noise models by the Baum re-estimation algorithm and present a Maximum a posterior (MAP) estimator ...  Read More

Identification of Factors Affecting Quality of Teaching Engineering Drawing using a Hybrid MCDM Model

H. Haghshenas Gorgani; A. R. Jahantigh Pak

Volume 8, Issue 2 , April 2020, , Pages 247-267


  Identification of the factors affecting teaching quality of engineering drawing and interaction between them is necessary until it is determined which manipulation will improve the quality of teaching this course. Since the above issue is a Multi-Criteria Decision Making (MCDM) problem and on the other ...  Read More

H.3. Artificial Intelligence
Composite Kernel Optimization in Semi-Supervised Metric

T. Zare; M. T. Sadeghi; H. R. Abutalebi; J. Kittler

Volume 5, Issue 2 , July 2017, , Pages 259-273


  Machine-learning solutions to classification, clustering and matching problems critically depend on the adopted metric, which in the past was selected heuristically. In the last decade, it has been demonstrated that an appropriate metric can be learnt from data, resulting in superior performance as compared ...  Read More

H.3.8. Natural Language Processing
Improvement of Chemical Named Entity Recognition through Sentence-based Random Under-sampling and Classifier Combination

A. Akkasi; E. Varoglu

Volume 7, Issue 2 , April 2019, , Pages 311-319


  Chemical Named Entity Recognition (NER) is the basic step for consequent information extraction tasks such as named entity resolution, drug-drug interaction discovery, extraction of the names of the molecules and their properties. Improvement in the performance of such systems may affects the quality ...  Read More

F.3.4. Applications
Graph Hybrid Summarization

N. Ashrafi Payaman; M.R. Kangavari

Volume 6, Issue 2 , July 2018, , Pages 335-340


  One solution to process and analysis of massive graphs is summarization. Generating a high quality summary is the main challenge of graph summarization. In the aims of generating a summary with a better quality for a given attributed graph, both structural and attribute similarities must be considered. ...  Read More

A Routing-Aware Simulated Annealing-based Placement Method in Wireless Network on Chips

A.R. Tajary; E. Tahanian

Volume 8, Issue 3 , July 2020, , Pages 409-415


  Wireless network on chip (WiNoC) is one of the promising on-chip interconnection networks for on-chip system architectures. In addition to wired links, these architectures also use wireless links. Using these wireless links makes packets reach destination nodes faster and with less power consumption. ...  Read More

Document and Text Processing
A Joint Semantic Vector Representation Model for Text Clustering and Classification

S. Momtazi; A. Rahbar; D. Salami; I. Khanijazani

Volume 7, Issue 3 , July 2019, , Pages 443-450


  Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, ...  Read More

C.5. Operating Systems
Analytical evaluation of an innovative decision-making algorithm for VM live migration

M. Tajamolian; M. Ghasemzadeh

Volume 7, Issue 4 , November 2019, , Pages 589-596


  In order to achieve the virtual machines live migration, the two "pre-copy" and "post-copy" strategies are presented. Each of these strategies, depending on the operating conditions of the machine, may perform better than the other. In this article, a new algorithm is presented that automatically decides ...  Read More