avatar
Atilla Suncak Asst. Prof. Dr. KASTAMONU ÜNİVERSİTESİ
Publication 6 Review 12 CrossRef Cited 1 TR Dizin Cited 1
6 Publication
12 Review
1 CrossRef Cited
1 TR Dizin Cited
0000-0003-0282-2377

Research Fields

Machine Learning Data Mining and Knowledge Discovery Deep Learning Natural Language Processing

Institution

KASTAMONU ÜNİVERSİTESİ

Popular Publications

PREDICTING CUSTOMER SATISFACTION REGARDING HOTELS: AN APPLICATION USING MACHINE LEARNING TECHNIQUES
Authors: Atilla Suncak , Fatma Selin Sak , Hilal Öztay Çağan
Published: 2024 ,
DOI: -
CITED 0 FAVORITE 2 TOTAL DOWNLOAD COUNT 707

0

2

707

Detecting Defective Expressions in Turkish Sentences Using a Hybrid Deep Learning Method
Authors: Atilla Suncak , Özlem Aktaş
Published: 2022 , Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
DOI: 10.21205/deufmd.2022247212
CITED 1 FAVORITE 1 TOTAL DOWNLOAD COUNT 705

1

1

705

Publications

Integrated Smart Waste Management System Based on Artificial Intelligence and IoT
Authors: Atilla Suncak , Oğuzhan Akkoç , Hüseyin Eren Çeykel , Fatma Zehra Üçgül
Published: 2025 , Innovative Artificial Intelligence
DOI: -
FAVORITE 0 TOTAL DOWNLOAD COUNT 170

0

170

Development of Artificial Intelligence-Supported Mobile Application Introducing Tree Species in Kastamonu
Authors: Atilla Suncak , Okan İşsever , Zeynep Demiroğlu , Ensar Eren
Published: 2025 , Innovative Artificial Intelligence
DOI: -
FAVORITE 0 TOTAL DOWNLOAD COUNT 238

0

238

Unleashing the Potential of Deep Learning Methods for Detecting Defective Expressions Using Hyperparameter Optimization Techniques
Authors: Atilla Suncak , Özlem Varlıklar
Published: 2025 , Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
DOI: 10.21205/deufmd.2025277910
FAVORITE 0 TOTAL DOWNLOAD COUNT 258

0

258

PREDICTING CUSTOMER SATISFACTION REGARDING HOTELS: AN APPLICATION USING MACHINE LEARNING TECHNIQUES
Authors: Atilla Suncak , Fatma Selin Sak , Hilal Öztay Çağan
Published: 2024 ,
DOI: -
FAVORITE 2 TOTAL DOWNLOAD COUNT 707

2

707

Detecting Defective Expressions in Turkish Sentences Using a Hybrid Deep Learning Method
Authors: Atilla Suncak , Özlem Aktaş
Published: 2022 , Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
DOI: 10.21205/deufmd.2022247212
FAVORITE 1 TOTAL DOWNLOAD COUNT 705

1

705

Connotation: Educational Mobile Game Application For Turkish
Authors: Özlem Aktaş , Çağdaş Can Birant, Ozgün Koşaner , Atilla Suncak
Published: 2017 , Marmara Journal of Pure and Applied Sciences
DOI: 10.7240/marufbd.328179
FAVORITE 0 TOTAL DOWNLOAD COUNT 1225

0

1225

Articles published in
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
Innovative Artificial Intelligence
Innovative Artificial Intelligence
Marmara Journal of Pure and Applied Sciences
Marmara Journal of Pure and Applied Sciences

Reviews

Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
Innovative Artificial Intelligence
Innovative Artificial Intelligence
Journal of Linguistics Research
Journal of Linguistics Research
Uludağ University Journal of The Faculty of Engineering
Uludağ University Journal of The Faculty of Engineering

Publications

Detecting Defective Expressions in Turkish Sentences Using a Hybrid Deep Learning Method
Authors: Atilla Suncak , Özlem Aktaş
Published: 2022 , Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
DOI: 10.21205/deufmd.2022247212
CITED 1 FAVORITE 1 TOTAL DOWNLOAD COUNT 705

1

1

705

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods. : Click to get information about the DergiPark User Badge.