Taşçı, Aslı

Profile URL
https://hdl.handle.net/11147/16526
Name Variants
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Email Address
Main Affiliation
03.05. Department of Electrical and Electronics Engineering
Status
Current Staff
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ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
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WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
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ZERO HUNGER2
ZERO HUNGER
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
1
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QUALITY EDUCATION4
QUALITY EDUCATION
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GENDER EQUALITY5
GENDER EQUALITY
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
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CLIMATE ACTION13
CLIMATE ACTION
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LIFE BELOW WATER14
LIFE BELOW WATER
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LIFE ON LAND15
LIFE ON LAND
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
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This researcher does not have a Scopus ID.
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Scholarly Output

2

Articles

0

Views / Downloads

1067/603

Supervised MSc Theses

0

Supervised PhD Theses

1

WoS Citation Count

2

Scopus Citation Count

4

Patents

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Projects

0

WoS Citations per Publication

1.00

Scopus Citations per Publication

2.00

Open Access Source

2

Supervised Theses

1

JournalCount
10th International Conference on Electrical and Electronics Engineering, ELECO 20171
Current Page: 1 / 1

Scopus Quartile Distribution

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Author of Publication: search.filters.isAuthorOfPublication.8719bce0-bc82-4d0e-92f4-77846890d966

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 4
    A Comparison of Feature Selection Algorithms for Cancer Classification Through Gene Expression Data: Leukemia Case
    (Institute of Electrical and Electronics Engineers Inc., 2018) Taşçı, Aslı; Taşçı, Aslı; İnce, Türker; Güzeliş, Cüneyt; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    In this study, three different feature selection algorithms are compared using Support Vector Machines as classifier for cancer classification through gene expression data. The ability of feature selection algorithms to select an optimal gene subset for a cancer type is evaluated by the classification ability of selected genes. A publicly available micro array dataset is employed for gene expression values. Selected gene subsets were able to classify subtypes of the considered cancer type with high accuracies and showed that these feature selection methods were applicable for bio-marker gene selection.
  • Doctoral Thesis
    Effects of Electromagnetic Fields on the Performance of Molecular Communications
    (01. Izmir Institute of Technology, 2022) Taşçı, Aslı; Atakan, Barış; Taşçı, Aslı; Atakan, Barış; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    This thesis analyzes molecular communication (MC) systems’ performance under electromagnetic fields. The aim of the thesis is to model and study molecular behavior under electromagnetic fields (EMF). The thesis starts with the theoretical explanation of classic electromagnetism. The directional and thermal changes are the main effects of EMF on particles. The directional effects of EMF are studied with regard to electromagnetic forces. The applied electromagnetic forces are presented for different types of particles. The effect of EMF on magnetically susceptible particles is analyzed in particular. Furthermore, molecular movement is analyzed by considering four fundamental forces on diffusing molecules under EMF. The energy transfer between EMF and particles is studied to understand the thermal effects of EMF. AnMCscheme that transmits information with magnetically susceptible molecules is studied in the second part of the thesis. The molecular type and the configuration of EMF are studied to understand the effect of EMF on the diffusion rate. The effects of magnetic field gradient (MFG) and concentration gradient magnetic force (CGMF) are analyzed to model the change in the diffusion rate and concentration of magnetically susceptible molecules. The last part of the thesis focuses on molecular dynamics under EMF. The effect of thermal changes on the molecular reaction rate and binding kinetics is modeled with reaction-diffusion systems. The specific reaction rate constant is analyzed to determine the effect of temperature change caused by the EMF. The movement of molecules is modeled by Langevin’s diffusion model. The probability distribution functions of the molecule’s velocity and displacement are studied to understand and model the molecular behavior under EMF. Moreover, the mean-squared displacement is employed to analyze the diffusion type under EMF.