Doğan, Deren

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Profile URL
https://hdl.handle.net/20.500.14411/6969
Name Variants
Doğan, Deren
Dogan, Deren
D.,Doğan
D., Dogan
D.,Deren
D.,Dogan
Doğan,D.
D., Deren
Deren, Dogan
Deren, Doğan
Doğan D.
D., Doğan
Dogan,D.
Job Title
Araştırma Görevlisi
Email Address
deren.dogan@atilim.edu.tr
Main Affiliation
Mechatronics Engineering
Status
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

5

GENDER EQUALITY
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0

Research Products

14

LIFE BELOW WATER
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0

Research Products

10

REDUCED INEQUALITIES
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0

Research Products

3

GOOD HEALTH AND WELL-BEING
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0

Research Products

2

ZERO HUNGER
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0

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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0

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
SUSTAINABLE CITIES AND COMMUNITIES Logo

2

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
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0

Research Products

13

CLIMATE ACTION
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0

Research Products

4

QUALITY EDUCATION
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0

Research Products

6

CLEAN WATER AND SANITATION
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0

Research Products

1

NO POVERTY
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0

Research Products

15

LIFE ON LAND
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0

Research Products

17

PARTNERSHIPS FOR THE GOALS
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0

Research Products

7

AFFORDABLE AND CLEAN ENERGY
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0

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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0

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This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

5

Articles

2

Views / Downloads

5/0

Supervised MSc Theses

1

Supervised PhD Theses

0

WoS Citation Count

7

Scopus Citation Count

15

WoS h-index

1

Scopus h-index

2

Patents

0

Projects

0

WoS Citations per Publication

1.40

Scopus Citations per Publication

3.00

Open Access Source

2

Supervised Theses

1

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JournalCount
14th International Conference on Communications, COMM 2022 - Proceedings -- 14th International Conference on Communications, COMM 2022 -- 16 June 2022 through 18 June 2022 -- Bucharest -- 1808961
32nd IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2024 -- Tarsus Univ Campus, Mersin, TURKEY1
IEEE Access1
Sensors1
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Type: Conference Object

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 6
    A Mini-Review on Radio Frequency Fingerprinting Localization in Outdoor Environments: Recent Advances and Challenges
    (Institute of Electrical and Electronics Engineers Inc., 2022) Dogan,D.; Dalveren,Y.; Kara,A.
    A considerable growth in demand for locating the source of emissions in outdoor environments has led to the rapid development of various localization methods. Among these, RF fingerprinting (RFF) localization has become one of the most promising method due to its unique advantages resulted from the recent developments in machine learning techniques. In this short review, it is aimed to assess the existing RFF methods in the literature for outdoor localization. For this purpose, firstly, the current state of RFF localization methods in outdoor environments are overviewed. Then, the main research challenges in the development of RFF localization are highlighted. This is followed by a brief discussion on the open issues in order to give future research directions. Furthermore, the research efforts currently undertaken by the authors are briefly addressed. © 2022 IEEE.
  • Thumbnail Image
    Conference Object
    Lyapunov-Based Controller Design for Precise Monitoring, Speed Control and Trajectory Planning in Autonomous Tractors With Trailers
    (Ieee, 2024) Aydin, Gulsah Demirhan; Dogan, Deren; Turken, Yusuf Tugberk
    Nowadays, modern technology-based agriculture operations are replacing traditional farming practices. Smart agricultural systems have gained popularity as a result of the demand for more productive and environmentally friendly farming methods. Consequently, the agricultural sector continues to be one of the driving forces behind automation, viewing technological advancements as a means of increasing productivity while lowering costs. Automation in agriculture ranges from tractors built with apparatus that can carry out complicated tasks on their own to cultivation surveillance. This study aims to optimize the speed of an autonomous tractor through a dynamic code based on Lyapunov control method as an innovative approach in smart agriculture. Beyond speed optimization, the research also addresses practical challenges encountered in real-world scenarios, including obstacles such as living entities. By evaluating the potential of Lyapunov control methodology in the effective management of agricultural machinery, this work offers an innovative perspective on smart agricultural technologies.