Nejat Yumuşak

Nejat Yumuşak

Sakarya Üniversitesi

H-index: 22

Asia-Turkey

About Nejat Yumuşak

Nejat Yumuşak, With an exceptional h-index of 22 and a recent h-index of 17 (since 2020), a distinguished researcher at Sakarya Üniversitesi, specializes in the field of Computer Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mikrodizi veri kümesindeki ALL, AML ve MLL lösemi türlerine ilişkin gen anomalilerinin LSTM sinir ağı ile sınıflandırılması

Classification of ALL, AML and MLL leukaemia types on microarray dataset using LSTM neural network approach

Classification of ALL and CML malignancies being among the main types of leukaemia with graph neural networks and fuzzy logic algorithm

Classification of acute leukaemias with a hybrid use of feature selection algorithms and deep learning-based architectures

Classification of exon and intron regions on dna sequences with hybrid use of sbert and anfis approaches

DETECTION OF EXON AND INTRON REGIONS IN DNA SEQUENCES BY THE PROPOSED HASHING FUNCTION

Lösemi hastalığının temel türlerinden ALL ve KML malignitelerinin grafik sinir ağları ve bulanık mantık algoritması ile sınıflandırılması

DNA genom dizilimi üzerinde sayısal sinyal işleme teknikleri kullanılarak elde edilen ekson ve intron bölgelerinin EfficientNetB7 mimarisi ile sınıflandırılması.

Nejat Yumuşak Information

University

Position

___

Citations(all)

2069

Citations(since 2020)

1063

Cited By

1712

hIndex(all)

22

hIndex(since 2020)

17

i10Index(all)

38

i10Index(since 2020)

28

Email

University Profile Page

Sakarya Üniversitesi

Google Scholar

View Google Scholar Profile

Nejat Yumuşak Skills & Research Interests

Computer Engineering

Top articles of Nejat Yumuşak

Title

Journal

Author(s)

Publication Date

Mikrodizi veri kümesindeki ALL, AML ve MLL lösemi türlerine ilişkin gen anomalilerinin LSTM sinir ağı ile sınıflandırılması

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

Fatma AKALIN

Nejat Yumuşak

2023/6/1

Classification of ALL, AML and MLL leukaemia types on microarray dataset using LSTM neural network approach

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY

Fatma Akalin

Nejat Yumusak

2023/1/1

Classification of ALL and CML malignancies being among the main types of leukaemia with graph neural networks and fuzzy logic algorithm

Journal of the Faculty of Engineering and Architecture of Gazi University

Fatma Akalın

Nejat Yumuşak

2023/1/1

Classification of acute leukaemias with a hybrid use of feature selection algorithms and deep learning-based architectures

Fatma Akalın

Nejat Yumusak

2023

Classification of exon and intron regions on dna sequences with hybrid use of sbert and anfis approaches

Politeknik Dergisi

Fatma AKALIN

Nejat YUMUŞAK

2023/12/12

DETECTION OF EXON AND INTRON REGIONS IN DNA SEQUENCES BY THE PROPOSED HASHING FUNCTION

Journal of Scientific Reports-A

Fatma AKALIN

Nejat YUMUŞAK

2023/9/9

Lösemi hastalığının temel türlerinden ALL ve KML malignitelerinin grafik sinir ağları ve bulanık mantık algoritması ile sınıflandırılması

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

Fatma AKALIN

Nejat Yumuşak

2022/7/10

DNA genom dizilimi üzerinde sayısal sinyal işleme teknikleri kullanılarak elde edilen ekson ve intron bölgelerinin EfficientNetB7 mimarisi ile sınıflandırılması.

Journal of the Faculty of Engineering & Architecture of Gazi University/Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,

Fatma Akalın

Nejat Yumuşak

2022/7/1

DNA genom dizilimi üzerinde dijital sinyal işleme teknikleri kullanılarak elde edilen ekson ve intron bölgelerinin EfficientNetB7 mimarisi ile sınıflandırılması

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

Fatma AKALIN

Nejat Yumuşak

2022/2/2

Detection and classification of white blood cells with an improved deep learning-based approach

Turkish Journal of Electrical Engineering and Computer Sciences

Fatma Akalin

NEJAT YUMUŞAK

2022

Classification of exon and intron regions obtained using digital signal processing techniques on the DNA genome sequencing with EfficientNetB7 architecture

GUMMFD

Fatma Akalin

Nejat Yumusak

2022/1/1

Early Detection of ALL Disease Using YOLOv4 Algorithm on Peripheral Blood Smear Images

Fatma Akalin

Nejat Yumuşak

2022/9/7

Yapay Zekâ ve COVID-19

Turkiye Klinikleri COVID-19

Seçkin ARI

Celal ÇEKEN

Nejat YUMUŞAK

2021

Impact of image segmentation techniques on celiac disease classification usingscale invariant texture descriptors for standard flexible endoscopic systems

Turkish Journal of Electrical Engineering and Computer Sciences

Manarbek Saken

MUNKHTSETSEG BANZRAGCH YAĞCI

NEJAT YUMUŞAK

2021

Deep and machine learning towards pneumonia and asthma detection

Amani Yahyaoui

Nejat Yumuşak

2021/9/29

Classification of alcohols obtained by QCM sensors with different characteristics using ABC based neural network

Engineering Science and Technology, an International Journal

M Fatih Adak

Peter Lieberzeit

Purim Jarujamrus

Nejat Yumusak

2020/6/1

Daily basis mid-term demand forecast of city natural gas using univariate statistical techniques

Mustafa Akpinar

Nejat Yumusak

2020

Günlük temelli orta vadeli şehir doğal gaz talebinin tek değişkenli istatistik teknikleri ile tahmini

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

Mustafa AKPİNAR

Nejat Yumuşak

2020

See List of Professors in Nejat Yumuşak University(Sakarya Üniversitesi)

Co-Authors

H-index: 47
Robi Polikar

Robi Polikar

Rowan University

H-index: 44
Peter A. Lieberzeit

Peter A. Lieberzeit

Universität Wien

H-index: 24
Fikret S. Gurgen

Fikret S. Gurgen

Bogaziçi Üniversitesi

H-index: 22
Assoc. Prof. Dr. Purim Jarujamrus

Assoc. Prof. Dr. Purim Jarujamrus

Ubon Ratchathani University

H-index: 12
Mustafa Akpınar

Mustafa Akpınar

Sakarya Üniversitesi

H-index: 11
M. Fatih Adak

M. Fatih Adak

Sakarya Üniversitesi

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