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Sacrococcygeal pilonidal disease: analysis of previously proposed risk factors
Sacrococcygeal pilonidal disease: analysis of previously proposed risk factors
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Sacrococcygeal pilonidal disease: analysis of previously proposed risk factors

Harlak, Ali; Mentes, Oner; Kilic, Selim; Coskun, Kagan; Duman, Kazim; Yilmaz, Fahri

Clinics; v. 65 n. 2 (2010); 125-131

Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo 2010-01-01

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2
Classification of hazelnuts according to their quality using deep learning algorithms
Classification of hazelnuts according to their quality using deep learning algorithms
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Classification of hazelnuts according to their quality using deep learning algorithms

Erbaş, Nizamettin ; Çinarer, Gökalp ; Kiliç, Kazim

Czech Journal of Food Sciences, 2022-01, Vol.40 (3), p.240-248 [Periódico revisado por pares]

Prague: Czech Academy of Agricultural Sciences (CAAS)

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Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with .sup.18F-FDG PET/CT
Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with .sup.18F-FDG PET/CT
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Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with .sup.18F-FDG PET/CT

Bulut, Gülcan ; Atilgan, Hasan Ikbal ; Çinarer, Gökalp ; Kiliç, Kazim ; Yikar, Deniz ; Parlar, Tuba

PloS one, 2023-09, Vol.18 (9), p.e0290543 [Periódico revisado por pares]

Public Library of Science

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Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT
Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT
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Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT

Bulut, Gülcan ; Atilgan, Hasan Ikbal ; Çınarer, Gökalp ; Kılıç, Kazım ; Yıkar, Deniz ; Parlar, Tuba Karavaş, Erdal

PloS one, 2023-09, Vol.18 (9), p.e0290543-e0290543 [Periódico revisado por pares]

San Francisco: Public Library of Science

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5
Machine Learning-Based Adaptive Genetic Algorithm for Android Malware Detection in Auto-Driving Vehicles
Machine Learning-Based Adaptive Genetic Algorithm for Android Malware Detection in Auto-Driving Vehicles
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Machine Learning-Based Adaptive Genetic Algorithm for Android Malware Detection in Auto-Driving Vehicles

Hammood, Layth ; Doğru, İbrahim Alper ; Kılıç, Kazım

Applied sciences, 2023-04, Vol.13 (9), p.5403 [Periódico revisado por pares]

Basel: MDPI AG

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6
Rapid detection of adulteration in pistachio based on deep learning methodologies and affordable system
Rapid detection of adulteration in pistachio based on deep learning methodologies and affordable system
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Rapid detection of adulteration in pistachio based on deep learning methodologies and affordable system

Çinarer, Gökalp ; Doğan, Nurcan ; Kılıç, Kazım ; Doğan, Cemhan

Multimedia tools and applications, 2024-02, Vol.83 (5), p.14797-14820 [Periódico revisado por pares]

New York: Springer US

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7
Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers
Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers
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Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers

Atacak, Ismail ; Kiliç, Kazim ; Dogru, Ibrahim Alper

PeerJ. Computer science, 2022-09, Vol.8, p.e1092-e1092, Article e1092 [Periódico revisado por pares]

San Diego: PeerJ. Ltd

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8
CSCR中盐皮质激素受体基因-2G/C的多态性及其与血浆皮质醇水平的关系（英文）
CSCR中盐皮质激素受体基因-2G/C的多态性及其与血浆皮质醇水平的关系（英文）
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CSCR中盐皮质激素受体基因-2G/C的多态性及其与血浆皮质醇水平的关系（英文）

Alper Yazici Esin Sogutlu Sari Betul Eser Gozde Sahin Medine Alpdemir Adil Kilic Muhammet Kazim Erol Sitki Samet Ermis

国际眼科杂志, 2016, Vol.16 (7), p.1203-1206 [Periódico revisado por pares]

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9
Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector
Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector
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Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector

Çınarer Gökalp ; Yeşilyurt Murat Kadir ; Ağbulut Ümit ; Yılbaşı Zeki ; Kılıç Kazım

Science and technology for energy transition, 2024, Vol.79, p.15 [Periódico revisado por pares]

EDP Sciences

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10
The role of automated measurements of follicle volumes on antagonist day using 5D viewer software in predicting implantation success using artificial intelligence technology
The role of automated measurements of follicle volumes on antagonist day using 5D viewer software in predicting implantation success using artificial intelligence technology
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The role of automated measurements of follicle volumes on antagonist day using 5D viewer software in predicting implantation success using artificial intelligence technology

Yenigül, Nefise Nazlı ; Ozelci, Runa ; Dilbaz, Serdar ; Dilbaz, Berna ; Baser, Emre ; Aldemir, Oya ; Cınarer, Gökalp ; Kılıc, Kazım ; Ustun, Yaprak

Reproductive biomedicine online, 2023-11, Vol.47, p.103461, Article 103461 [Periódico revisado por pares]

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Deste Autor:

  1. Yilmaz, F
  2. Mentes, O
  3. Kilic, S
  4. Harlak, A
  5. Coskun, K

Neste Assunto:

  1. Science & Technology
  2. Life Sciences & Biomedicine
  3. Humans
  4. Male
  5. Female

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