Çelebi, Neşe

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/8248
Name Variants
Celebi, N
Celebi, Nes'e
Çelebi, Neş'e
N.,Çelebi
Celebi,N.
Çelebi, Neşe
C., Nese
Ç.,Neşe
Neşe, Çelebi
N.,Celebi
C.,Nese
Nese, Celebi
Çelebi,N.
N., Celebi
Celebi, Nese
Job Title
Profesör Doktor
Email Address
Main Affiliation
Industrial Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

9

Articles

4

Views / Downloads

36/623

Supervised MSc Theses

0

Supervised PhD Theses

3

WoS Citation Count

24

Scopus Citation Count

60

Patents

0

Projects

0

WoS Citations per Publication

2.67

Scopus Citations per Publication

6.67

Open Access Source

2

Supervised Theses

3

JournalCount
Advances in Environmental Biology1
Expert Systems with Applications1
Journal Europeen des Systemes Automatises1
Proceedings of the 15th IASTED International Conference on Applied Simulation and Modelling -- 15th IASTED International Conference on Applied Simulation and Modelling -- 26 June 2006 through 28 June 2006 -- Rhodes -- 685981
Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing -- Proceedings of the Seventh IASTED International Conference on Artificial Intelligence and Soft Computing -- 14 July 2003 through 16 July 2003 -- Banff -- 624771
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Type: Conference Object

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 3
    A simulation model for mine production sequences
    (2006) Aydiner,K.; Çelebi,N.; Paşamehmetoǧlu,A.G.
    Mine design process strictly dependent on the economical variables of the orebody and the rock mass properties having effect on the physical parameters of the intended mining system. In addition, the dynamic aspects of the possible system must be taken into account. Difficulty in design arises mainly from the difficulty in obtaining enough and reliable data. Collecting enough and quality data requires to costly and timely procedures. Therefore, the mine design engineers have to consider alternative cases in their designs or they have to design with limited data. This study presents a simulation model that can be used to develop the production subsystem model of an underground mining system. A mechanized production system model and a decision analysis tool using a discrete event simulation process were developed. The tool allows an engineer with experimenting his/her design to generate a model that can meet the targeted production rate.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 1
    Ore-Age: an Intelligent Assisting and Tutoring System for Mining Method Selection
    (2003) Guray,C.; Celebi,N.; Atalay,V.; Gunhan,A.
    In the past studies about the mining method selection process, which is among the most critical aspects in the mining engineering discipline, there are attempts to build up a systematic approach to make this selection. But, these approaches work based on static databases and fail in inserting the intuitive feelings and engineering judgments of experienced engineers to the selection process. In this study, a hybrid system based on 13 different expert systems and one interface agent is developed, to make mining method selection for the given ore-bodies. The learning procedure to insert the expertise of the experienced engineers to the selection process, works based on a neuro-fuzzy model, combining the TSK model of the fuzzy theory and a two layered neural network with the utilization of the back-propagation algorithm. Again, to supply the maximum assistance to the users, the agent executes the system's tutoring procedure in case an inexperienced user enters the system, to complete his/her missing knowledge about mining method selection. The system that is being developed in this study can be introduced as the first example of dynamic, intelligent assisting and tutoring systems in the mining profession.