Engin PEKEL

Engin PEKEL

Hitit Üniversitesi

H-index: 11

Asia-Turkey

About Engin PEKEL

Engin PEKEL, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Hitit Üniversitesi, specializes in the field of Artificial neural network, Metaheuristic methods, Optimization.

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

Genetic algorithm optimized a deep learning method with attention mechanism for soil moisture prediction

Deep Learning Approach to Technician Routing and Scheduling Problem

Routing of Vehicles to Disaster Relief Tents

Forecasting water demand for Istanbul by applying different machine learning algorithms

bi-objective approach based on fuzzy logic for multi-period technician routing and scheduling problems

A simple solution to technician routing and scheduling problem using improved genetic algorithm

Examination of Daily Task Constraint in Technician Routing and Scheduling Problem

Metaheuristic approaches integrated with ANN in forecasting daily emergency department visits

Engin PEKEL Information

University

Position

___

Citations(all)

433

Citations(since 2020)

395

Cited By

131

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Hitit Üniversitesi

Google Scholar

View Google Scholar Profile

Engin PEKEL Skills & Research Interests

Artificial neural network

Metaheuristic methods

Optimization

Top articles of Engin PEKEL

Title

Journal

Author(s)

Publication Date

Genetic algorithm optimized a deep learning method with attention mechanism for soil moisture prediction

Neural Computing and Applications

Ahmet Kara

Engin Pekel

Erdener Ozcetin

Gazi Bilal Yıldız

2024/2

Deep Learning Approach to Technician Routing and Scheduling Problem

ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

Engin Pekel

2022

Routing of Vehicles to Disaster Relief Tents

Engin Pekel

2022/12/16

Forecasting water demand for Istanbul by applying different machine learning algorithms

Available at SSRN 4476915

Engin PEKEL

2022/9/29

bi-objective approach based on fuzzy logic for multi-period technician routing and scheduling problems

Journal of Engineering Research

Engin Pekel

Gazi Bilal Yildiz

Ahmet Kara

2022/8/17

A simple solution to technician routing and scheduling problem using improved genetic algorithm

Soft Computing

Engin Pekel

2022/7

Examination of Daily Task Constraint in Technician Routing and Scheduling Problem

European Journal of Science and Technology

Engin Pekel

2021/11/30

Metaheuristic approaches integrated with ANN in forecasting daily emergency department visits

Mathematical Problems in Engineering

Engin Pekel

Muhammet Gul

Erkan Celik

Samuel Yousefi

2021/11/27

Forecasting daily natural gas consumption with regression, time series and machine learning based methods

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Melih Yucesan

Engin Pekel

Erkan Celik

Muhammet Gul

Faruk Serin

2021/1/21

Decision tree regression model to predict low-rank coal moisture content during convective drying process

International Journal of Coal Preparation and Utilization

Engin Pekel

Mehmet Cabir Akkoyunlu

Mustafa Tahir Akkoyunlu

Saban Pusat

2020/8/2

Investigation of estimation performance for different soil areas

Environmental monitoring and assessment

Engin Pekel

2020/5

Computational Intelligence Approach for Classification of Diabetes Mellitus Using Decision Tree

Engin Pekel

Ebru Pekel Özmen

2020/3

Estimation of soil moisture using decision tree regression

Theoretical and Applied Climatology

Engin PEKEL

2020/2

Solving technician routing and scheduling problem using improved particle swarm optimization

Soft Computing

Engin Pekel

2020/12

EVALUATION OF ESTIMATION PERFORMANCE FOR SOIL MOISTURE USING PARTICLE SWARM OPTIMIZATION AND ARTIFICIAL NEURAL NETWORK

Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

Engin PEKEL

2020/1

Using hybridized ANN-GA prediction method for DOE performed drying experiments

Drying technology

Mehmet Cabir Akkoyunlu

Engin Pekel

Mustafa Tahir Akkoyunlu

Saban Pusat

2020/8/3

See List of Professors in Engin PEKEL University(Hitit Üniversitesi)