Ferhat Uçar, Ph.D.

Ferhat Uçar, Ph.D.

Firat Üniversitesi

H-index: 11

Asia-Turkey

About Ferhat Uçar, Ph.D.

Ferhat Uçar, Ph.D., With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Firat Üniversitesi, specializes in the field of Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Signal Processing.

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

Solar energy technical feasibility comparison: an alternative proposal for the Industry

Computational drug discovery on human immunodeficiency virus with a customized long short‐term memory variational autoencoder deep‐learning architecture

A comprehensive analysis of smart grid stability prediction along with explainable artificial intelligence

Computational Drug Discovery on HIV Virus with a Customized LSTM Variational Autoencoder Deep Learning Architecture.

An Intelligent Model for Supercapacitors with a Graphene-Based Fractal Electrode to Investigate the Cyclic Voltammetry

A novel approach to investigate the effects of global warming and exchange rate on the solar power plants

A novel ship classification network with cascade deep features for line-of-sight sea data

Power quality event classification using optimized Bayesian convolutional neural networks

Ferhat Uçar, Ph.D. Information

University

Position

Ph.D.

Citations(all)

1061

Citations(since 2020)

1011

Cited By

311

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

14

i10Index(since 2020)

12

Email

University Profile Page

Firat Üniversitesi

Google Scholar

View Google Scholar Profile

Ferhat Uçar, Ph.D. Skills & Research Interests

Artificial Intelligence

Machine Learning

Deep Learning

Data Science

Signal Processing

Top articles of Ferhat Uçar, Ph.D.

Title

Journal

Author(s)

Publication Date

Solar energy technical feasibility comparison: an alternative proposal for the Industry

Energy Efficiency

Mert Gürtürk

Murat Erdem

Ferhat Uçar

2024/6

Computational drug discovery on human immunodeficiency virus with a customized long short‐term memory variational autoencoder deep‐learning architecture

CPT: Pharmacometrics & Systems Pharmacology

Mucahit Kutsal

Ferhat Ucar

Nida Kati

2024/2/1

A comprehensive analysis of smart grid stability prediction along with explainable artificial intelligence

Symmetry

Ferhat Ucar

2023/1/20

Computational Drug Discovery on HIV Virus with a Customized LSTM Variational Autoencoder Deep Learning Architecture.

CPT: Pharmacometrics & Systems Pharmacology

M Kutsal

F Ucar

N Kati

2023/11/27

An Intelligent Model for Supercapacitors with a Graphene-Based Fractal Electrode to Investigate the Cyclic Voltammetry

Fractal and Fractional

Nida Kati

Ferhat Ucar

2023/2/26

A novel approach to investigate the effects of global warming and exchange rate on the solar power plants

Energy

Mert Gürtürk

Ferhat Ucar

Murat Erdem

2022/1/15

A novel ship classification network with cascade deep features for line-of-sight sea data

Machine Vision and Applications

Ferhat Ucar

Deniz Korkmaz

2021/5

Power quality event classification using optimized Bayesian convolutional neural networks

Electrical Engineering

Sami Ekici

Ferhat Ucar

Besir Dandil

Reza Arghandeh

2021/2

Machine Learning-based Prediction of Optical Band Gaps in ZnO Thin Films

Optik

Dheer Parikh

Hemant Yadav

Sanni Kapatel

2023/11/1

THE LIGHTWEIGHT DEEP LEARNING MODEL FOR SMART GRID STABILITY PREDICTION

Ferhat Uçar

2021/8/17

A novel marble recognition system using extreme learning machine with LBP and histogram features

Concurrency and Computation: Practice and Experience

Erhan Turan

Ferhat Ucar

Besir Dandil

2021/5

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based Diagnosis of the Coronavirus Disease 2019 (COVID-19) from X-Ray Images

Medical Hypotheses

Ferhat Ucar

Deniz Korkmaz

2020/4/23

A Ship Detector Design Based on Deep Convolutional Neural Networks for Satellite Images

Sakarya University Journal of Science

F. Uçar

D. Korkmaz

2020/2/1

Machine learning based predictive model for surface roughness in cylindrical grinding of Al based metal matrix composite

European Journal of Technique (EJT)

UÇAR Ferhat

KATI Nida

2020/12/12

Deep Learning Approach to Cell Classification in Human Peripheral Blood

Ferhat Ucar

2020/10/12

Aircraft detection system based on regions with convolutional neural networks

International Journal of Intelligent Systems and Applications in Engineering

Ferhat Ucar

Besir Dandil

Fikret Ata

2020/9/28

See List of Professors in Ferhat Uçar, Ph.D. University(Firat Üniversitesi)

Co-Authors

H-index: 16
Besir DANDIL

Besir DANDIL

Firat Üniversitesi

H-index: 16
Sami Ekici

Sami Ekici

Firat Üniversitesi

H-index: 13
resul coteli

resul coteli

Firat Üniversitesi

H-index: 12
Mert GÜRTÜRK

Mert GÜRTÜRK

Firat Üniversitesi

H-index: 12
Jose David Cordova

Jose David Cordova

Florida State University

H-index: 7
Nida KATI

Nida KATI

Firat Üniversitesi

academic-engine