Research Assistant
Seda BAYAT TOKSÖZ
Education
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D
IĞDIR ÜNİVERSİTESİ
2021 -
DoctorateLİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ/MEKATRONİK MÜHENDİSLİĞİ (DR)/
Tez Adı:
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M
IĞDIR ÜNİVERSİTESİ
2020 - 2021
MasterFEN BİLİMLERİ ENSTİTÜSÜ/ELEKTRİK ELEKTRONİK MÜHENDİSLİĞİ (YL) (TEZLİ)/
Tez Adı: Aras kuş türlerinin ses özellikleri bakımından derin öğrenme yöntemleriyle kimliklendirilmesi
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B
SAKARYA ÜNİVERSİTESİ
2014 - 2019
Bachelor DegreeBİLGİSAYAR VE BİLİŞİM BİLİMLERİ FAKÜLTESİ/BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ/BİLGİSAYAR MÜHENDİSLİĞİ PR. (İÖ)/
Tez Adı:
22222
| Year: | Article Title | Scope | Author(s): | Journal Name: | Volume: | Issue: | Link: |
|---|---|---|---|---|---|---|---|
| 2022 | Recognition of Aras Bird Species From Their Voices With Deep Learning Methods | National | BAYAT SEDA, IŞIK GÜLTEKİN | Igdir University | 12 | http://dx.doi.org/10.21597/jist.1124674 | |
| 2023 | Evaluating the Effectiveness of Different Machine Learning Approaches for Sentiment Classification | National | BAYAT SEDA, IŞIK GÜLTEKİN | Igdir University | 13 | http://dx.doi.org/10.21597/jist.1292050 |
22222
| Year: | Paper Title | Scope: | Author(s): | Event Name: | Link: |
|---|---|---|---|---|---|
| 2023 | DEEP LEARNING APPROACHES FOR AUTOMATIC BREAST CANCER DETECTION: PERFORMANCE EVALUATION ON MAMMOGRAPHIC IMAGES | International | BAYAT SEDA, IŞIK GÜLTEKİN | INSI CONGRESS 2023 | https://www.insicongress.com/wp-content/uploads/2023/08/INSI-2023-Full-Text-Proceedings-Book.pdf |
| 2023 | ASSESSING THE EFFICACY OF LSTM, TRANSFORMER, AND RNN ARCHITECTURES IN TEXT SUMMARIZATION | International | BAYAT SEDA, IŞIK GÜLTEKİN | ICAENS 2023 | http://dx.doi.org/10.59287/icaens.1099 |
| 2020 | Identification of Aras Birds with Convolutional Neural Networks | International | BAYAT SEDA, IŞIK GÜLTEKİN | ISMSIT | http://dx.doi.org/10.1109/ismsit50672.2020.9255205 |
22222
| Year | Book Title | Chapter: | Contribution Level: |
|---|---|---|---|
| 2023 | Advances in Engineering Sciences | Robust Flower Classıfication with Deep Learning: Comparative Study on a Diverse Dataset | Bölüm(ler) |
| 2025 | Bilgisayar Bilimleri ve Mühendisliği Alanında Güncel Yaklaşımlar | Benchmarking U-Net, FCN, and DeepLabV3 for Precision Plant Segmentation in Agricultural Applications | Bölüm(ler) |
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