Araştırma faaliyetlerinin Üniversite stratejik hedefleriyle ilişkisi
BM Sürdürülebilir Kalkınma Amaçları
Çalışmaları bu amaçlara katkı sağlamaktadır.
Kurumun Öncelikli Alanında Çalışmalar
Gıda-Tarım2
Nanoteknoloji36
Enerji82
Araştırma Konusunun Kapsamı
Bölgesel0
Ulusal0
Uluslararası95
Makaleler
158Bilimsel dergilerde yayımlanmış makaleler
158
Toplam Makale
148
WoS + Scopus
2
TR Dizin
2
Yönetilen Tezlerden Üretilen
2026
Son Yayın Yılı
1
Experimental and optimization study of co-axial impinging jet parameters on thermal behavior at impingement plates with and without fins
Experimental Heat Transfer
2026SCI-Expanded4 Yazar
2
Prediction of Antioxidant and Antitumor Activities with Artificial Neural Network Using Experimental Data Obtained from Polyphenol-Rich Perilla Leaf Extracts
Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Food Science and Technology
2026ESCI2 Yazar
3
Mechanical properties of GBFS + GVS based geopolymer mortars with different molarities exposed to high temperature: A combined experimental and machine learning approaches
ENGINEERING Structure and Civil Engineering
2026SCI-Expanded5 Yazar
4
XGBoost for CO2 phase change characterization: A robust machine learning tool for next-generation energy storage systems
International Communications in Heat and Mass Transfer
2026SCI-Expanded1 Yazar
5
Machine learning-based modelling of heat and mass transfer in a dual-compartment moving-bed thermochemical energy storage
Journal of Energy Storage
2026SCI-Expanded6 Yazar
6
Optimization of automotive HVAC performance and passenger comfort through intelligent algorithms
Journal of Thermal Analysis and Calorimetry
2026SCI-Expanded6 Yazar
7
Electricity Price Prediction using Artificial Neural Network Models: A New and Comparative Analysis with Diverse Industry Production Indices
Computational Economics
2026SCI-Expanded2 Yazar
8
Google trend index as an investor sentiment proxy in cryptomarket: nonlinear relationships with cryptomarket and predicting bitcoin returns with machine learning approach
Central European Journal of Operations Research
2026SCI-Expanded3 Yazar
9
Prediction of experimental condensation heat transfer characteristics of helically coiled tube-in-shell type heat exchangers by Artificial Neural Network and XGBoost
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
2026SCI-Expanded3 Yazar
10
Comparative performance analysis of artificial neural networks and XGBoost in predicting the electrochemical behavior of methylated clay-modified membranes for vanadium redox flow batteries
Journal of Energy Storage
2026SCI-Expanded1 Yazar
11
Prediction of preterm and low birth weight risk using a physiology based artificial neural network integrating hematological, dental, and periodontal index markers: a cross sectional study based on machine learning
BMC Pregnancy and Childbirth
2026SCI-Expanded4 Yazar
12
A Study on Unit Gompertz Distribution with Multi-Layer Artificial Neural Network Modeling
Thailand Statistician
2026ESCI6 Yazar
13
Prediction of performance parameters of a hermetic reciprocating compressor under different discharge lift limiter heights by machine learning
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
2026SCI-Expanded3 Yazar
14
Advancing solid oxide electrolysis cell research: A machine learning and experimental data-based approach to stack behavior and syngas production control for sustainable energy
Journal of Power Sources
2026SCI-Expanded1 Yazar
15
Machine Learning Applications in Experimental Thermal Performance Evaluation of Shell-and-Tube Phase Change Storage Units with an Inner Square Tube
HEAT TRANSFER RESEARCH
2026SCI-Expanded1 Yazar
16
Effects of pH, crude oil content and surfactant dosage on interfacial tension of crude oil nanoemulsions against diesel: A combined experimental and machine learning investigation
Journal of Chemical Sciences
2026SCI-Expanded2 Yazar
17
Machine learning-based thermal predictions trained on experimental data for multichannel flat-tube bilateral liquid-cooled lithium-ion batteries
Journal of Energy Storage
2026SCI-Expanded1 Yazar
18
Federal reserve interest rates, investment behavior, and arbitrage in exchange traded-funds
The Economics and Finance Letters
2026ESCI3 Yazar
19
Prediction of Entropy Production and Heat Transfer Characteristics of Al2O3-Cu/Water Hybrid Nanofluid in Convection-Radiation Interaction Flow in a Porous Cavity byMachine Learning Approach
Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería
2026SCI-Expanded1 Yazar
20
Intelligent Computing for the Electro-osmotically Modulated Peristaltic Pumping of Blood-Based Nanofluid
NUMERICAL HEAT TRANSFER PART A-APPLICATIONS
2026SCI-Expanded5 Yazar
21
Extreme Gradient Boosting (XGBoost) Prediction of Latent Heat Storage in Conical‑Fin Solar Thermal Units with Graphene-Alumina Hybrid-Nano‑Additives
HEAT AND MASS TRANSFER
2026SCI-Expanded1 Yazar
22
Machine learning approach for multi-parameter performance estimations of EC fan coil units using heating tentative database
International Communications in Heat and Mass Transfer
2026SCI-Expanded6 Yazar
23
Predictive analytics for efficient green hydrogen production: machine learning applied to thermoelectric condensation-based atmospheric moisture capture
International Journal of Energy and Water Resources
2026Scopus1 Yazar
24
Enhancing predictive accuracy in alkaline water electrolysis: A machine learning approach to the effects of trans‐diaphragm fluid flow using experimental data
The Canadian Journal of Chemical Engineering
2026SCI-Expanded1 Yazar
25
A comparative performance analysis of different machine learning algorithms in efficiency optimization of a nanofluid-cooled photovoltaic thermal system
Heat Transfer Research
2026SCI-Expanded1 Yazar
26
Neural network and thermodynamic optimization of magnetized hybrid nanofluid dissipative radiative convective flow with energy activation
Numerical Heat Transfer, Part A: Applications
2025SCI-Expanded6 Yazar
27
Numerical Investigation of Thermal Energy Storage in Wavy Enclosures with Nanoencapsulated Phase Change Materials Using Deep Learning
Energy
2025SCI-Expanded1 Yazar
28
Machine learning-driven performance predictions in ammonia-fueled molten carbonate fuel cells: A comprehensive study on experimental data
Diamond and Related Materials
2025SCI-Expanded1 Yazar
29
Machine learning-enhanced analysis of liquid nitrogen spreading on superheated walls: An artificial neural network-based investigation
Thermal Science and Engineering Progress
2025SCI-Expanded1 Yazar
30
Experimental investigation and artificial neural network modeling of performance of photovoltaic – Thermal solar collector based hydrogen production system with phase change material
International Journal of Hydrogen Energy
2025SCI-Expanded5 Yazar
31
Optimizing hydrogen storage in Li-decorated borophene slit pores: A novel machine learning study on volumetric and gravimetric capacities
International Journal of Hydrogen Energy
2025SCI-Expanded1 Yazar
32
Artificial neural network modeling for multi-parameter performance prediction of electronically commutated fan coils based on experimental data
Journal of Thermal Analysis and Calorimetry
2025SCI-Expanded5 Yazar
33
Investigating the Sensitivity of Nanofluid Flow around a Cylindrical Disk: A Study of Walter's B Nanofluid using Response Surface Methodology and Artificial Neural Networks
Journal of Engineering Research
2025SCI-Expanded4 Yazar
34
Some experimental evaluations on the rheological and non-Newtonian fluidity properties of fly ash added cement-based grout prepared by addition of nano zinc oxide (n-ZnO)
Nanomaterials and Energy
2025ESCI4 Yazar
35
Integrating experimental data with machine learning models to predict thermal conductivity and efficiency in rice husk graphene-enhanced PCM solar collectors
Journal of Thermal Analysis and Calorimetry
2025SCI-Expanded1 Yazar
36
Experimental investigation of the effects of dispersed nanoalumina additive on plastic viscosity and yield stress values of cement-based grouts with fly ash
Advances in Cement Research
2025SCI-Expanded4 Yazar
37
Machine Learning Approach for Modelling and Predicting Interfacial Tension and Rheology of Crude Oil Nanoemulsions Stabilized by Rhamnolipid Biosurfactant
Petroleum Research
2025ESCI2 Yazar
38
Development of a machine-learning-based performance prediction model for indirect regenerative evaporative cooling applications supported by experimental and numerical techniques
Journal of Thermal Analysis and Calorimetry
2025SCI-Expanded7 Yazar
39
Performance analysis of different artificial intelligence algorithms in estimating wax appearance distance in thick-walled crude oil pipeline
Modeling Earth Systems and Environment
2025ESCI1 Yazar
40
Experimental and machine learning approaches to predict the heat transfer in some phase change cold energy storage devices with the flat miniature heat pipe arrays
European Physical Journal Plus
2025SCI-Expanded1 Yazar
41
Machine learning-based optimizing of heavy-duty fuel cell performance: Experimental data-driven prediction models for voltage and stack temperature
Journal of Renewable Sustainable Energy
2025SCI-Expanded1 Yazar
42
Integrating Experimental Data with Machine Learning for Optimizing Solid Electrolyte Support Materials in Molten Carbonate Fuel Cells
Materials Chemistry and Physics
2025SCI-Expanded1 Yazar
43
Experimental Energy and Exergy Assessments of a Mechanical Vapor Compression Refrigeration System having Low-GWP Alternative Gas of Pure R1234yf and its Nanoparticle Mixtures using Artificial Intelligence Models
International Journal of Refrigeration
2025SCI-Expanded4 Yazar
44
Machine learning-based identification of elite genotypes in the endangered Nilgirianthus ciliatus through qualitative and quantitative trait analysis
Current Research in Biotechnology
2025ESCI8 Yazar
45
Comparison of experimental thermal conductivity of water-based Al2O3–Cu hybrid nanofluid with theoretical models and artificial neural network output
Journal of Thermal Analysis and Calorimetry
2025SCI-Expanded2 Yazar
46
A new machine learning challenge on heat transfer: Comprehensive analysis of the performance of MLP and NARX architectures in predicting the flow characteristics in the electro magnetizing plate of two different CNT-based nanofluids
Heat Transfer Research
2025SCI-Expanded1 Yazar
47
Machine Learning Application with Bayesian Regularization for Predicting Pressure Drop in R134a's Annular Evaporation and Condensation
Journal of the Brazilian Society of Mechanical Sciences and Engineering
2025SCI-Expanded5 Yazar
48
Investigating a machine learning algorithms applicability for simulating the apparent viscosity of waxy crude oil in a pipeline
International Journal of Oil, Gas and Coal Technology
2025SCI-Expanded1 Yazar
49
Exothermic thermosolutal convection in a nanofluid-filled square cavity with a rotating Z-Fin: ISPH and AI integration
AIMS Mathematics
2025SCI-Expanded6 Yazar
50
Thermal Energy Storage Optimization: The Role of Artificial Intelligence, Dual Phase Change Materials, and Nanoparticle Additives
Heat Transfer Research
2025SCI-Expanded1 Yazar
51
A new study on the prediction of thermal efficiency properties of Oldroyd-B nanofluid flow in solar water pumps with an artificial neural network model with Bayesian Regularization algorithm
Heat Transfer Research
2025SCI-Expanded1 Yazar
52
A Hybrid Approach of Buongiorno's Law and Darcy–Forchheimer Theory Using Artificial Neural Networks: Modeling Convective Transport in Al2O3-EO Mono-Nanofluid Around a Riga Wedge in Porous Medium
International Journal for Numerical Methods in Fluids
2025SCI-Expanded3 Yazar
53
An innovative study on high entropy energy storage mg-Y-Ni-cu systems: Machine learning-driven optimization of electrical cycling in Ni-MH battery alloys
Journal of Energy Storage
2025SCI-Expanded1 Yazar
54
Investigating hermetic reciprocating compressor performance by using various machine learning methods
Part C: Journal of Mechanical Engineering Science
2024SCI-Expanded3 Yazar
55
Prediction of performance parameters of a hermetic reciprocating compressor applying an artificial neural network
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
2024SCI-Expanded3 Yazar
56
Development of an intelligent computing system using neural networks for modeling bioconvection flow of second-grade nanofluid with gyrotactic microorganisms
Numerical Heat Transfer: Part B
2024SCI-Expanded3 Yazar
57
Advancing nanofluid technology: Experimental thermal conductivity measurements and accurate predictive models for yttrium oxide-water nanofluid using neural networks and mathematical correlations
Numerical Heat Transfer, Part B: Fundamentals
2024SCI-Expanded1 Yazar
58
Enhanced and predictive modelling of direct shoot regeneration of Evolvulus alsinoides (L.) using ANN machine learning model and genetic stability studies
Current Plant Biology
2024ESCI7 Yazar
59
Neural networking-based analysis of heat transfer in MHD thermally slip Carreau fluid flow with heat generation
Case Studies in Thermal Engineering
2024SCI-Expanded3 Yazar
60
Integrating artificial intelligence with numerical simulations of Cattaneo-Christov heat flux on thermosolutal convection of nano-enhanced phase change materials in Bézier-annulus
Journal of Energy Storage
2024SCI-Expanded4 Yazar
61
Integrating artificial intelligence in investigating magneto-bioconvection flow of oxytactic microorganisms and nano-enhanced phase change material in H-type cavity
Thermal Science and Engineering Progress
2024SCI-Expanded4 Yazar
62
Artificial neural network-based cooling capacity estimation of various radiator configurations for power transformers operated in ONAN mode
Thermal Science and Engineering Progress
2024SCI-Expanded5 Yazar
63
Improving pressure drop predictions for R134a evaporation in corrugated vertical tubes using a machine learning technique trained with the Levenberg–Marquardt method
Journal of Thermal Analysis and Calorimetry
2024SCI-Expanded5 Yazar
64
A Novel Machine Learning Study: Maximizing the Efficiency of Parabolic Trough Solar Collectors with Engine Oil-Based Copper and Silver Nanofluids
HEAT TRANSFER RESEARCH
2024SCI-Expanded2 Yazar
65
Assessment of heat transfer characteristics of a corrugated heat exchanger based on various corrugation parameters using artificial neural network approach
International Journal of Heat and Fluid Flow
2024SCI-Expanded4 Yazar
66
Optimization of micro-rotation effect on magnetohydrodynamic nanofluid flow with artificial neural network
ZAMM-Zeitschrift fur Angewandte Mathematik und Mechanik
2024SCI-Expanded3 Yazar
67
CFD and ANN Analyses for the Evaluation of the Heat Transfer Characteristics of a Rectangular Microchannel Heat Sink with Various Cylindrical Pin-Fins
Heat Mass Transfer
2024SCI-Expanded4 Yazar
68
Modeling the Influence of Nanoparticles and Gyrotactic Microorganisms on Natural Convection in a Heated Square Cavity using Artificial Neural Network (ANN)
HEAT TRANSFER RESEARCH
2024SCI-Expanded1 Yazar
69
Dairy factory milk product processing and sustainable of the shelf-life extension with artificial intelligence: A model study
Frontiers in Sustainable Food Systems
2024SCI-Expanded2 Yazar
70
Carbon dot unravels accumulation of triterpenoid in Evolvulus alsinoides hairy roots culture by stimulating growth, redox reactions and ANN machine learning model prediction of metabolic stress response
Plant Physiology and Biochemistry
2024SCI-Expanded13 Yazar
71
Advancing water disinfection strategies: assessing disinfection efficiency with a Bayesian Regularized artificial neural network model
Australian Journal of Multi-Disciplinary Engineering
2024EBSCOhost, International Atomic Energy Agency INIS Collection Search (International Nuclear Information System), Ovid, ProQuest and the U.S. National Research Council Transportation Research Board TRIS Electronic Bibliographic Data Base (Transportation Research Information Services)1 Yazar
72
Experimental and Machine Learning Research on a Multi-Functional Trombe Wall System
International Journal of Global Warming
2024SCI-Expanded4 Yazar
73
Adjoined ISPH method and artificial intelligence for thermal radiation on double diffusion inside a porous L-shaped cavity with fins
International Journal of Numerical Methods for Heat and Fluid Flow
2024SCI-Expanded3 Yazar
74
An artificial neural network-based numerical estimation of the boiling pressure drop of different refrigerants flowing in smooth and micro-fin tubes
Kerntechnik
2024SCI-Expanded4 Yazar
75
A comparative analysis of maximum likelihood estimation and artificial neural network modeling to assess electrical component reliability
Quality and Reliability Engineering International
2024SCI-Expanded5 Yazar
76
Modeling of Soret and Dufour’s Convective Heat Transfer in Nanofluid Flow Through a Moving Needle with Artificial Neural Network
Arabian Journal for Science and Engineering
2023SCI-Expanded3 Yazar
77
An Experimental Evaluation of Workability and Bleeding Behaviors of Ultra-sonicated Nano Zinc Oxide (n-ZnO) Doped Cement Pastes Incorporated with Fly Ash
Nanoscience and Technology: An International Journal
2023Scopus4 Yazar
78
An Intelligent Approach for Predicting Mechanical Properties of High-Volume Fly Ash (HVFA) Concrete
Civil Engineering Journal
2023Scopus5 Yazar
79
Modeling and survival exploration of breast carcinoma: A statistical, maximum likelihood estimation, and artificial neural network perspective
Artificial Intelligence in the Life Sciences
2023Scopus5 Yazar
80
Predicting Stock Market Index and Credit Default Swap Spreads using Artificial Intelligence and Determining Nonlinear Relations
Archives of Advanced Engineering Science
2023Google Scholar, CLOCKSS, Dimensions2 Yazar
81
A Decreasing Failure Rate Model with a Novel Approach to Enhance the Artificial Neural Networks Structure for Engineering and Disease Data Analysis
Tribology International
2023SCI-Expanded5 Yazar
82
Determination of optimum insulation thickness in submarines
Journal of Thermal Engineering
2023ESCI4 Yazar
83
Flow control over a circular cylinder using vortex generators: Particle image velocimetry analysis and machine-learning-based prediction of flow characteristics
Ocean Engineering
2023SCI-Expanded4 Yazar
84
Comparative analysis to study the Darcy–Forchheimer Tangent hyperbolic flow towards cylindrical surface using artificial neural network: An application to Parabolic Trough Solar Collector
Mathematics and Computers in Simulation
2023SCI-Expanded3 Yazar
85
From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids
Powder Technology
2023SCI-Expanded4 Yazar
86
The Intraday High-Frequency Trading with Different Data Ranges: A Comparative Study with Artificial Neural Network and Vector Autoregressive Models
Archives of Advanced Engineering Science
2023Google Scholar, CLOCKSS, Dimensions2 Yazar
87
A new study on the prediction of the effects of road gradient and coolant flow on electric vehicle battery power electronics components using machine learning approach
Journal of Energy Storage
2023SCI-Expanded1 Yazar
88
Performance prediction of current-voltage characteristics of Schottky diodes at low temperatures using artificial intelligence
Microelectronics Reliability
2023SCI-Expanded2 Yazar
89
Modeling of Darcy-Forchheimer magnetohydrodynamic Williamson nanofluid flow towards nonlinear radiative stretching surface using artificial neural network
International Journal for Numerical Methods in Fluids
2023SCI-Expanded3 Yazar
90
The Role of Technical Indicators in the Intraday Prediction of Stock Markets: Artificial Neural Network Models for Borsa Istanbul
Scientia Iranica
2023SCI-Expanded2 Yazar
91
An example of artificial neural networks modeling the distribution of mercury (Hg), which poses a risk to human health in the selection of settlements: Sarayönü (Türkiye)
Arabian Journal of Geosciences
2023EBSCO, SCImago4 Yazar
92
Experimental and numerical investigations on the heat transfer characteristics of a real-sized radiant cooled wall system supported by machine learning
International Journal of Thermal Sciences
2023SCI-Expanded5 Yazar
93
Reliability Study of Generalized Rayleigh Distribution Based on Inverse Power Law using Artificial Neural Network with Bayesian Regularization
Tribology International
2023SCI-Expanded5 Yazar
94
Reliability study of generalized exponential distribution based on inverse power law using artificial neural network with Bayesian regularization
Quality and Reliability Engineering International
2023SCI-Expanded4 Yazar
95
Microstructural design of solid oxide fuel cell electrodes by micro-modeling coupled with artificial neural network
Powder Technology
2023SCI-Expanded6 Yazar
96
Experimental analysis of the effect of nanofluid use on power and efficiency enhancement in heat pipe solar collectors and modeling using artificial neural networks
Heat Transfer Research
2023SCI-Expanded3 Yazar
97
Significance of EMHD graphene oxide (GO) water ethylene glycol nanofluid flow in a Darcy–Forchheimer medium by machine learning algorithm
The European Physical Journal Plus
2023SCI-Expanded3 Yazar
98
An experimental and new study on thermal conductivity and zeta potential of Fe3O4/water nanofluid: Machine learning modeling and proposing a new correlation
Powder Technology
2023SCI-Expanded4 Yazar
99
Construction of neural network based intelligent computing for treatment of Darcy-Forchheimer Sisko nanofluid flow with Rosseland?s radiative process
Heat Transfer Research
2023SCI-Expanded3 Yazar
100
Levenberg-Marquardt Training Technique Analysis of Thermally Radiative and Chemically Reactive Stagnation Point Flow of non-Newtonian Fluid with Temperature Dependent Thermal Conductivity
Mathematics
2023SCI-Expanded3 Yazar
101
Artificial Neural Networking estimation of Skin Friction Coefficient at Cylindrical Surface: A Casson Flow Field
The European Physical Journal Plus
2023SCI-Expanded3 Yazar
102
Estimation of heat transfer parameters of shell and helically coiled tube heat exchangers by machine learning
Case Studies in Thermal Engineering
2023SCI-Expanded5 Yazar
103
Research on the influence of convector factors on a panel radiator’s heat output and total weight with a machine learning algorithm
The European Physical Journal Plus
2023SCI-Expanded5 Yazar
104
Prediction of Mechanical Properties of Rubberized Concrete Incorporating Fly Ash and Nano Silica by Artificial Neural Network Technique
Axioms
2023SCI-Expanded5 Yazar
105
Computational Analysis on Magnetized and Non-Magnetized Boundary Layer Flow of Casson Fluid Past a Cylindrical Surface by Using Artificial Neural Networking
Mathematics
2023SCI-Expanded3 Yazar
106
Artificial Neural Networking Magnification for Heat Transfer Coefficient in Convective Non-Newtonian Fluid with Thermal Radiations and Heat Generation Effects
Mathematics
2023SCI-Expanded3 Yazar
107
Prediction of heat transfer characteristics in a microchannel with vortex generators by machine learning
Kerntechnik
2023SCI-Expanded5 Yazar
108
Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection
International Journal of Thermal Sciences
2022SCI-Expanded5 Yazar
109
An Experimental Investigation on Workability and Bleeding Behaviors of Cement Pastes Doped with Nano Titanium Oxide (n-TiO2) Nanoparticles and Fly Ash
Fluid Dynamics & Materials Processing
2022Scopus4 Yazar
110
Prediction of viscous dissipation effects on magnetohydrodynamic heat transfer flow of copper-poly vinyl alcohol Jeffrey nanofluid through a stretchable surface using artificial neural network with Bayesian Regularization
Chemical Thermodynamics and Thermal Analysis
2022Scopus1 Yazar
111
Analysis of the effect of arrhenius activation energy and temperature dependent viscosity on non-newtonian maxwell nanofluid bio-convective flow with partial slip by artificial intelligence approach
Chemical Thermodynamics and Thermal Analysis
2022Scopus1 Yazar
112
An Experimental Study on Artificial Intelligence-Based Prediction of Capacitance–Voltage Parameters of Polymer-Interface 6H-SiC/MEH-PPV/Al Schottky Diodes
physica status solidi (a)
2022SCI-Expanded2 Yazar
113
Analyzing of Nano-Silica Usage with Fly Ash for Grouts with Artificial Neural Network Models
Advances in Cement Research
2022SCI-Expanded4 Yazar
114
Comparative investigation of the usability of different machine learning algorithms in the analysis of battery thermal performances of electric vehicles
Prediction of nanofluid flows’ optimum velocity in finned tube-in-tube heat exchangers using artificial neural network
Kerntechnik
2022SCI-Expanded5 Yazar
117
Optimization of the Numerical Treatment of the Darcy-Forchheimer Flow of Ree-Eyring Fluid with Chemical Reaction by Using Artificial Neural Networks
International Journal for Numerical Methods in Fluids
2022SCI-Expanded3 Yazar
118
Numerical determination of condensation pressure drop of various refrigerants in smooth and micro-fin tubes via ANN method
KERNTECHNIK
2022SCI-Expanded3 Yazar
119
Analyzing activation energy and binary chemical reaction effects with artificial intelligence approach in axisymmetric flow of third grade nanofluid subject to Soret and Dufour effects
HEAT TRANSFER RESEARCH
2022SCI-Expanded3 Yazar
120
Discharging performance prediction of experimentally tested sorption heat storage materials with machine learning method
Journal of Energy Storage
2022SCI-Expanded4 Yazar
121
An Experimental Investigation on Workability and Bleeding Features
ACI Materials Journal
2022SCI-Expanded4 Yazar
122
Significance of bioconvective flow of MHD thixotropic nanofluid passing through a vertical surface by machine learning algorithm
Chinese Journal of Physics
2022SCI-Expanded3 Yazar
123
Prediction of heat transfer coefficient, pressure drop, and overall cost of double-pipe heat exchangers using the artificial neural network
Case Studies in Thermal Engineering
2022SCI-Expanded5 Yazar
124
Optimization of Bioconvective Magnetized Walter’s B Nanofluid Flow towards a Cylindrical Disk with Artificial Neural Networks
Lubricants
2022SCI-Expanded3 Yazar
125
Artificial neural network approach for investigating the impact of convector design parameters on the heat transfer and total weight of panel radiators
International Journal of Thermal Sciences
2022SCI-Expanded5 Yazar
126
Investigation of the usability of machine learning algorithms in determining the specific electrical parameters of Schottky diodes
Materials Today Communications
2022SCI-Expanded2 Yazar
127
Do Artificial Neural Networks Always Provide High Prediction Performance? An Experimental Study on the Insufficiency of Artificial Neural Networks in Capacitance Prediction of the 6H-SiC/MEH-PPV/Al Diode
Symmetry-Basel
2022SCI-Expanded4 Yazar
128
Investigation of flow parameters of Reiner-Philippoff nanofluid flow with higher-order slip properties, activation energy, and bioconvection by artificial neural networks
Heat Transfer
2022ESCI1 Yazar
129
Artificial Neural Networking (ANN) Model for Drag Coefficient Optimization for Various Obstacles
Mathematics
2022SCI-Expanded3 Yazar
130
Artificial Neural Networking (ANN) Model for Convective Heat Transfer in Thermally Magnetized Multiple Flow Regimes with Temperature Stratification Effects
Mathematics
2022SCI-Expanded3 Yazar
131
Thermal analysis of flowing stream in partially heated double forward-facing step by using artificial neural network
Case Studies in Thermal Engineering
2022SCI-Expanded3 Yazar
132
Reliability investigation of exponentiated Weibull distribution using IPL through numerical and artificial neural network modeling
Quality and Reliability Engineering International
2022SCI-Expanded3 Yazar
133
Reliability Analysis Based on Mixture of Lindley Distributions with Artificial Neural Network
Advanced Theory and Simulations
2022SCI-Expanded5 Yazar
134
Comparative Study of Artificial Neural Network versus Parametric Method in COVID-19 data Analysis
Results in Physics
2022SCI-Expanded6 Yazar
135
Modeling of Darcy-Forchheimer bioconvective Powell Eyring nanofluid with artificial neural network
Chinese Journal of Physics
2022SCI-Expanded3 Yazar
136
An Experimental Investigation of the Effects of Fly Ash and Nano Titanium Dioxide
(n-TiO2) Usage as Viscosity Modifying Agents (VMAs) in Cement-Based Grouts on
Rheological Parameters
Journal of Cement Based Composites
2022DOAJ4 Yazar
137
Determination of heat transfer rates of heavy-duty radiators for trucks having flattened and double-U grooved pipes with louvered fins by ANN method: an experimental study
The European Physical Journal Plus
2022SCI-Expanded4 Yazar
138
Developing Prediction Model on Workability Parameters of Ultrasonicated Nano Silica (n-SiO2) and Fly Ash Added Cement-Based Grouts by Using Artificial Neural Networks
Advances in Civil Engineering Materials
2022ESCI4 Yazar
139
Reliability modeling and analysis of mixture of exponential distributions using artificial neural network
Mathematical Methods in the Applied Sciences
2022SCI-Expanded5 Yazar
140
A Numerical Study Aimed at Finding Optimal Artificial Neural Network Model Covering Experimentally Obtained Heat Transfer Characteristics of Hydronic Underfloor Radiant Heatin
Heat Transfer Research
2022SCI-Expanded5 Yazar
141
Optimization of Darcy-Forchheimer squeezing flow in nonlinear stratified fluid under convective conditions with artificial neural network
Heat Transfer Research
2022SCI-Expanded4 Yazar
142
Prediction of experimental thermal performance of new designed cold plate for electric vehicles’ Li-ion pouch-type battery with artificial neural network
Journal of Energy Storage
2022SCI-Expanded5 Yazar
143
Designing artificial neural network of nanoparticle diameter and solid–fluid interfacial layer on single‐walled carbon nanotubes/ethylene glycol nanofluid flow on thin slendering needles
International Journal for Numerical Methods in Fluids
2021SCI-Expanded3 Yazar
144
Prediction of infection and death ratio of CoVID-19 virus in Turkey by using artificial neural network (ANN)
Coronaviruses
2021Scopus1 Yazar
145
An experimental study on the comparative analysis of the effect of the number of data on the error rates of artificial neural networks
International Journal of Energy Research
2021SCI-Expanded1 Yazar
146
Artificial Intelligence Approach on Predicting Current Values of Polymer Interface Schottky Diode Based on Temperature and Voltage: An Experimental Study
Superlattices and Microstructures
2021SCI-Expanded2 Yazar
147
An experimental study on determination of the shottky diode current-voltage characteristic depending on temperature with artificial neural network
Physica B: Condensed Matter
2021SCI-Expanded4 Yazar
148
Artificial Intelligence Approach in Predicting the Efect of Elevated Temperature on the Mechanical Properties of PET Aggregate Mortars: An Experimental Study
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
2021SCI-Expanded4 Yazar
149
Experimental study for thermal conductivity of water based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
2021SCI-Expanded1 Yazar
150
A comprehensive and comparative experimental analysis on thermal conductivity of TiO2-CaCO3/Water hybrid nanofluid: Proposing new correlation and artificial neural network opt
Heat Transfer Research
2021SCI-Expanded4 Yazar
151
A novel comparative investigation of the effect of the number of neurons on the predictive performance of the artificial neural network: An experimental study on the thermal conductivity of ZrO2 nanofluid
International Journal of Energy Research
2021SCI-Expanded1 Yazar
152
Estimation of unsteady hydromagnetic Williamson fluid flow in a radiative surface through numerical and artificial neural network modeling
Scientific Reports
2021SCI-Expanded5 Yazar
153
Experimental analysis with specific heat of water based zirconium oxide nanofluid on the effect of training algorithm on predictive performance of artificial neural network
HEAT TRANSFER RESEARCH
2021SCI-Expanded1 Yazar
154
A novel comparative analysis between the experimental and numeric methods on viscosity of zirconium oxide nanofluid: Developing optimal artificial neural network and new mathematical model
Powder Technology
2021SCI-Expanded1 Yazar
155
Experimental study for artificial neural network (ANN) based prediction of electric energy production of diesel engine based cogeneration power plant
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
2021TR DİZİN1 Yazar
156
Experimental study for predicting the specific heat of water based Cu-Al2O3 hybrid nanofluid using artificial neural network and proposing new correlation
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
2020SCI4 Yazar
157
Experimental Study on the Specific Heat Capacity Measurement of Water-Based Al2O3-Cu Hybrid Nanofluid by using Differential Thermal Analysis Method
Current Nanoscience
2020SCI-Expanded6 Yazar
158
Developing optimal artificial neural network (ANN) to predict the specific heat of water based yttrium oxide (Y2O3) nanofuid according to the experimental data and proposing new correlation
Heat Transfer Research
2020SCI-Expanded1 Yazar
Bildiriler
38Ulusal ve uluslararası kongre / konferans bildirileri
1
Integrated XGBoost Architecture for High-Fidelity Prediction of Transport Characteristics in Magnetized Carreau Fluid Flow Subject to Hall Effect and Cross-Diffusion
ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiri13th International Black Sea Coastline Countries Scientific Research Conference13.06.2026
2
Predictive Modeling of Skin Friction and Local Nusselt Numbers in Unsteady MHD Nanofluid Flow Over a Permeable Plate Using XGBoost Architecture
ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiri13th International Black Sea Coastline Countries Scientific Research Conference13.06.2026
3
Bayesian Regularization-Based Intelligent Prediction of Skin Friction and Nusselt Number for Aligned MHD Maxwell Fluids over a Stratified Inclined Sheet
ÇOLAK ANDAÇ BATUR,KILINÇ CUMA
UluslararasıTam metin bildiri"Energy of Anatolia" International Erzincan Energy Symposium01.04.2026
4
Modeling of Unsteady Hybrid Tangent Hyperbolic Nanofluid Flow in Solar Aircraft Systems using an Artificial Neural Network
ÇOLAK ANDAÇ BATUR,KILINÇ CUMA
UluslararasıTam metin bildiri7th International İstanbul Current Scientific Research Congress13.02.2026 - 15.02.2026
5
Intelligent Estimation of Convective Flow Characteristics for Blood-Based Carbon Nanotube Nanofluids in a Reiner-Philippoff Fluid Model via Bayesian Regularized Neural Networks
ÇOLAK ANDAÇ BATUR,KILINÇ CUMA
UluslararasıTam metin bildiri7th International İstanbul Current Scientific Research Congress13.02.2026 - 15.02.2026
6
Artificial Neural Network Modeling of Bioconvective Radiative Casson Fluid Flow Over Multiple Geometries Using Bayesian Regularization
ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiri13th International Göbeklitepe Scientific Studies Congress24.01.2026 - 25.01.2026
7
Modeling the Heat Transfer Performance of Carreau-Yasuda Nanofluid Containing Gyrotactic Motile Microorganisms on a Porous Medium in Bioconvection Flow Using Machine Learning
ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiri13th International Göbeklitepe Scientific Studies Congress24.01.2026 - 25.01.2026
8
Artificial Intelligence Analysis for Convectionless and Radiated Impact in Nanofluid with Silicon Dioxide and Molybdenum Disulfide
Qureshi Hamid,ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiriTURK-COSE 2025: VII. International Turkic World Congress on Science and Engineering13.11.2025
9
Simulating the effect of two cylinders on the air flow movement inside a duct using CFD
Abbas Ghazwan Mahmoud,Taha Mohammed Salam,Abdulkarim Ali Hussein,ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiriTURK-COSE 2025: VII. International Turkic World Congress on Science and Engineering13.11.2025
10
Modeling of 3D Flow of Burgers Nanofluid on a Bidirectionally Stretched Surface in Double-Stratification Bioconvection with Artificial Neural Networks
ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiriX. International Health, Engineering and Sciences Congress25.04.2025 - 27.04.2025
11
Simulation of Stagnation Point Flow in Magneto-Micropolar Fluid on a Stretchable Surface under the Influence of Activation Energy and Two-Sided Reaction with Machine Learning
ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiriX. International Health, Engineering and Sciences Congress25.04.2025 - 27.04.2025
12
Prediction of Thermal Characteristics of Casson Nanomaterials in Radiative Binary Reactive Flow Near Inclined Stagnation Point Flow with Activation Energy Applications by Machine Learning Approach
ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiri5. International Uludağ Scientific Research Congress, 22-23 February, 2025, Bursa, Türkiye.22.02.2025 - 23.02.2025
13
Estimation of Hydromagnetic Free Convective Flow Parameters in Vertical Cylinder with Point/Line Heat Sink using Machine Learning
ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiri5. International Uludağ Scientific Research Congress, 22-23 February, 2025, Bursa, Türkiye.22.02.2025 - 23.02.2025
14
Estimation of thermal parameters of magnetic flow in a suspension of ferrous nanoparticles on a cone with Brownian motion and thermophoresis using artificial neural networks
ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiriIV. International Conference On Applied Sciences10.01.2025 - 12.01.2025
15
Analysis of thermal characteristics of Cattaneo-Christov heat flux on a dusty ternary nanofluid in a magnetic field with slippery conditions using artificial neural networks
ÇOLAK ANDAÇ BATUR,Shafiq Anum,BAYRAK MUSTAFA
UluslararasıÖzet bildiriTURK-COSE 2024: VI. International Turkic World Congress on Science and Engineering19.12.2024 - 21.12.2024
16
Transient Slip Flow and Activation Energy Effects in Williamson Nanofluid under Convective Boundaries
Shafiq Anum,ÇOLAK ANDAÇ BATUR
UluslararasıÖzet bildiriTURK-COSE 2024: VI. International Turkic World Congress on Science and Engineering19.12.2024 - 21.12.2024
17
Analysis of the Nonlinear Thermal Radiation Effect of a Hybrid Nanofluid with Curvilinear Flow on a Curved, Oscillating, and Stretched Surface with a Machine Learning Approach
ÇOLAK ANDAÇ BATUR
UluslararasıÖzet bildiri3rd International Conference on Artificial Intelligence and Information Technologies26.07.2024 - 28.07.2024
18
Investigating the Applicability of Machine Learning in Performance Analysis of Solar Water Pumps
ÇOLAK ANDAÇ BATUR
UluslararasıÖzet bildiri7th International Antalya Scientific Research and Innovative Studies Congress11.05.2024 - 13.05.2024
19
Numerical Prediction of Experimentally Obtained Thermal Performance and Capacity of EC Fan Coil with Artificial Neural Networks During Cooling Process
UĞUZ BURAK,GEMİCİ ZAFER,Tonya Doruk,ÇOLAK ANDAÇ BATUR,DALKILIÇ AHMET SELİM
UluslararasıÖzet bildiriASES 8. International Health, Engineering and Sciences Conference06.04.2024 - 07.04.2024
20
Parabolic Trough Solar Collector Efficiency Boosted Nanofluid Optimization and Artificial Intelligence
ÇOLAK ANDAÇ BATUR
UluslararasıÖzet bildiri3rd International Mediterranean Scientific Research and Innovation Congress26.08.2023 - 26.08.2023
21
Investigation of the Usability of Machine Learning Method in Determining the Wax Formation Distance in Crude Oil Pipelines
ÇOLAK ANDAÇ BATUR
UluslararasıÖzet bildiri6. International Scientific Research and Innovation Congress, 25-26 February 2023, Ankara, Türkiye25.02.2023 - 26.02.2023
22
Darcy-Forchheimer Williamson Nanofluid Flow Towards Nonlinear Stretching with Rosseland's Radiative Process
UluslararasıÖzet bildiri4. International Ankara Multidisciplinary Studies Congress29.07.2022 - 30.07.2022
25
Determination of Low Temperature Electrical Parameters of a Semiconductor by Machine Learning
GÜZEL TAMER, ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiriÇukurova 8th International Scientific Research Congress15.04.2022 - 16.04.2022
26
Analysis of Viscous Dissipation Effects of CopperPolyvinyl Alcohol Jeffrey Nanofluid with Multi-Layer Neural Networks on Magnetohydrodynamic Heat Transfer Flow
ÇOLAK ANDAÇ BATUR
UluslararasıÖzet bildiri4. International Sciences and Innovation Congress18.02.2022 - 19.02.2022
27
Yüksek Frekanslı Ticaret ve Pay Endeksinin Farklı Veri Aralıklarıyla Öngörülebilirliği
Durmaz Savaş, DALKILIÇ AHMET SELİM, ÇOLAK ANDAÇ BATUR, Wongwises Somchai
UluslararasıÖzet bildiri6th International Conference on Advances in Mechanical Engineering20.10.2021 - 21.10.2021
29
How do the artificial neural network models perform before and during the COVID-19 pandemic: A study of the S&P 500
KOY AYBEN, ÇOLAK ANDAÇ BATUR
UluslararasıÖzet bildiri92nd International Atlantic Economic Conference07.10.2021 - 08.10.2021
30
Predicting Stock Index and CDS Spreads with Artificial Neural Network Models
KOY AYBEN, ÇOLAK ANDAÇ BATUR
UluslararasıÖzet bildiri5th International Conference on Innovation in Business, Economics & Marketing Research (IBEM-2021)27.05.2021 - 29.05.2021
31
The Prediction of Borsa Istanbul Stock Market: Artificial Neural Network Models with Intraday Data
ÇOLAK ANDAÇ BATUR, KOY AYBEN
UluslararasıÖzet bildiri5th International Conference on Economics and Finance, Sustainable Economic and Financial Development in the Aftermath of the Pandemic25.05.2021 - 26.05.2021
32
Prediction of low frequency capacitance-voltage value of polymer-interfaced 6H-SiC/MEH-PPV/Al Schottky diodes with artificial neural networks
ÇOLAK ANDAÇ BATUR, GÜZEL TAMER
UluslararasıTam metin bildiri5th International Erciyes Conference on Scientific Research16.04.2021 - 17.04.2021
33
Proposing of a new correlation for determining thermal conductivity of Al2O3-Cu/Water hybrid nanofluid
ÇOLAK ANDAÇ BATUR, BAYRAK MUSTAFA
UluslararasıTam metin bildiriIV. International Ankara Conference on Scientific Research10.04.2021 - 11.04.2021
34
Optimizing the Current Values in Low Temperature of the Polymer-Interface Schottky Diode with an Artificial Neural Network
GÜZEL TAMER, ÇOLAK ANDAÇ BATUR
UluslararasıTam metin bildiriÇukurova 6th International Scientific Research Congress05.03.2021 - 06.03.2021
35
6H-SiC/MEH-PPV/Al Organik-İnorganik Diyotunun Oda Sıcaklığındaki Elektriksel Parametrelerinin Belirlenmesi
Tez Adı: Endüstriyel sistemlerde erken uyarıcı dinamik bakım
Lisans1995 - 1999
NİĞDE ÜNİVERSİTESİ
MÜHENDİSLİK-MİMARLIK FAKÜLTESİ/MAKİNE MÜHENDİSLİĞİ PR. (İÖ)/
Akademik Ünvanlar
1Akademik kariyer yolculuğu
DOÇENT2024 -
NİĞDE ÖMER HALİSDEMİR ÜNİVERSİTESİ / BİLGİSAYAR VE BİLİŞİM BİLİMLERİ FAKÜLTESİ / BİLİŞİM SİSTEMLERİ VE TEKNOLOJİLERİ BÖLÜMÜ / BİLİŞİM SİSTEMLERİ VE TEKNOLOJİLERİ ANABİLİM DALI
