Samaneh Yazdani

Samaneh Yazdani
Islamic Azad University | IAU · Department of Computer Engineering

Assistant professor

About

17
Publications
2,864
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218
Citations

Publications

Publications (17)
Preprint
Full-text available
In late 2019, COVID-19, a severe respiratory disease, emerged, and since then, the world has been facing a deadly pandemic caused by it. This ongoing pandemic has had a significant effect on different aspects of societies. The uncertainty around the number of daily cases made it difficult for decision-makers to control the outbreak. Deep Learning m...
Article
Full-text available
In cement mills, ventilation is a critical key for maintaining temperature and material transportation. However, relationships between operational variables and ventilation factors for an industrial cement ball mill were not addressed until today. This investigation is going to fill this gap based on a newly developed concept named “conscious labor...
Article
Full-text available
Tri-flo cyclone, as a dense-medium separation device, is one of the most typical environmentally friendly industrial techniques in the coal washery plants. Surprisingly, no detailed investigation has been conducted to explore the effectiveness of tri-flo cyclone operating parameters on their representative metallurgical responses (yield and recover...
Article
Full-text available
For classification of tumors in mammography, the major features are extracted from the segmented tumor. However, some details of the tumor margin, such as the spiculated parts, are eliminated in the segmentation step. The current study suggests a new approach for extracting the spiculated parts and tumor core. The proposed method segments the tumor...
Article
Full-text available
Monarch butterfly optimization (MBO), which is a simple and widely used algorithm, has some limitations, such as utilizing the obtained experiential knowledge about the search space inefficiently, the lack of exploration, and being rotational variance. This paper proposes a new variation of MBO, which is called knowledge-based MBO (KMBO), to addres...
Article
Fall is the second incident that leads to death over the world. Fall event happens to numerous groups of people consist of elderly, babies and also younger people. Admittedly, fall-related research must be considered as one of the most important aspects of a healthy lifestyle. For this reason, Internet of Things(IoT) is the emerging technology and...
Article
Full-text available
Monarch butterfly optimization (MBO) is a recently developed evolutionary algorithm which has been used in many optimization problems. Migration and adjusting operators of MBO have a significant effect on the performance of it. These two operators change candidate variables of each individual independently. So, they are rotationally variant and thi...
Article
Full-text available
Spiculated parts of masses are significant features to classify tumors in digital mammography; however, segmentation, which is used to extract the shape and contour of a tumor, eliminates them. To address this problem, the current study proposes a novel algorithm for extraction of the spiculated pixels of a tumor that are of similar intensity along...
Article
The whale optimization algorithm (WOA) is a new bio-inspired meta-heuristic algorithm which is presented based on the social hunting behavior of humpback whales. WOA suffers premature convergence that causes it to trap in local optima. In order to overcome this limitation of WOA, in this paper WOA is hybridized with differential evolution (DE) whic...
Article
Purpose Hardgrove grindability index (HGI) is an important physical parameter used to demonstrate the relative hardness of coal particles. Modeling of HGI based on coal conventional properties is a quite complicated procedure. In this paper, the aim is developing a new accurate model for prediction of HGI that is called OPENN (optimized evolutiona...
Article
Ash fusion temperatures (AFTs: initial deformation temperature (IDT), softening temperature (ST), and fluid temperature (FT)) are standard keys to estimate behavior of ash oxide for using coal and controlling their slag-making at boilers. In this study, the modeling of AFTs based on ash oxide contents for 6537 US coal samples have been investigated...
Article
Many data sets are represented by low-level or primitive features. This makes it difficult to discover relevant information via learning algorithm. Changing the way primitive data is represented can be advantageous. This can be performed using data preprocessing algorithms. A successful preprocessing algorithm should be capable of revealing the rel...
Article
The exploration–exploitation trade-off is an important aspect of evolutionary algorithms which determines the efficiency and accuracy of these algorithms. Cartesian Genetic Programming (CGP) is a generalization of the graph based genetic programming. It is implemented with mutation only and does not have any possibility to share information among s...
Article
Feature selection plays a crucial role in applications where data consists of hundreds of features due to curse of dimensionality. This paper presents two feature selection methods by modifying the main operators of Biogeography-Based Optimization algorithm. The difference between these methods is in employing binary or integer coding. The simulati...
Article
Full-text available
We propose a preprocessing method to improve the performance of Principal Component Analysis (PCA) for classification problems composed of two steps; in the first step, the weight of each feature is calculated by using a feature weighting method. Then the features with weights larger than a predefined threshold are selected. The selected relevant f...
Conference Paper
In clustering algorithm based on criterion function optimization, at first the numbers of clusters are predefined the clustering will be done. For obtaining a suitable result, these algorithms must be suitable with different number of clusters, after that result will be evaluated. To solve this problem a new method is presented, in this article Nic...

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