Thermal Energy Storage Optimization: The Role of Artificial Intelligence, Dual Phase Change Materials, and Nanoparticle Additives
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Heat Transfer Research
- Doi: 10.1615/HeatTransRes.2024056670
|
2025
|
Optimizing hydrogen storage in Li-decorated borophene slit pores: A novel machine learning study on volumetric and gravimetric capacities
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Hydrogen Energy
- Doi: 10.1016/j.ijhydene.2025.01.266
|
2025
|
Experimental investigation of the effects of dispersed nanoalumina additive on plastic viscosity and yield stress values of cement-based grouts with fly ash
ÇOLAK ANDAÇ BATUR,ÇELİK FATİH,YILDIZ OĞUZHAN,BOZKIR SAMET MÜFİT
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Advances in Cement Research
- Doi: 10.1680/jadcr.23.00116
|
2025
|
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
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Heat Transfer Research
- Doi: 10.1615/HeatTransRes.2024055511
|
2025
|
Improve the energy efficiency of the fruit freeze-drying through the predictive analysis
ÖZTUNA TANER ÖZNUR,ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Food and Bioproducts Processing
- Doi: 10.1016/j.fbp.2024.11.028
|
2025
|
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
Shafiq Anum,ÇOLAK ANDAÇ BATUR,Sindhu Tabassum Naz,Abushal Tahani
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Engineering
- Doi: 10.1016/j.jer.2024.12.010
|
2025
|
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
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Journal of Energy Storage
- Doi: 10.1016/j.est.2024.114958
|
2025
|
Enhanced and predictive modelling of direct shoot regeneration of Evolvulus alsinoides (L.) using ANN machine learning model and genetic stability studies
Awere Collince Omondi,Rakkammal Kasinathan,ÇOLAK ANDAÇ BATUR,BAYRAK MUSTAFA,Fredrick Ogolla,Anadebe Valentine Chikaodili,Ramesh Manikandan
Uluslararası -
Hakemli -
ESCI -
Özgün Makale - Current Plant Biology
- Doi: 10.1016/j.cpb.2024.100423
|
2024
|
Neural networking-based analysis of heat transfer in MHD thermally slip Carreau fluid flow with heat generation
Rehman Khalil Ur, Shatanawi Wasfi, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Case Studies in Thermal Engineering
- Doi: 10.1016/j.csite.2024.103995
|
2024
|
Prediction of performance parameters of a hermetic reciprocating compressor applying an artificial neural network
BACAK AYKUT, ÇOLAK ANDAÇ BATUR, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
- Doi: 10.1177/09544089241233990
|
2024
|
Integrating artificial intelligence with numerical simulations of Cattaneo-Christov heat flux on thermosolutal convection of nano-enhanced phase change materials in Bézier-annulus
Elshehabey Hillal M., Aly Abdelraheem M., Lee Sang-Wook, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Journal of Energy Storage
- Doi: 10.1016/j.est.2024.110496
|
2024
|
Integrating artificial intelligence in investigating magneto-bioconvection flow of oxytactic microorganisms and nano-enhanced phase change material in H-type cavity
Hussain Shafqat, Aly Abdelraheem M., Alsedias Noura, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Thermal Science and Engineering Progress
- Doi: 10.1016/j.tsep.2024.102497
|
2024
|
Neural network and thermodynamic optimization of magnetized hybrid nanofluid dissipative radiative convective flow with energy activation
Ferdows Mohammad,Ahmed Muktadir,Bhuiyan M. A.,Bég O. Anwar,ÇOLAK ANDAÇ BATUR,Leonard H.J.
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Numerical Heat Transfer, Part A: Applications
- Doi: 10.1080/10407782.2024.2329312
|
2024
|
Artificial neural network-based cooling capacity estimation of various radiator configurations for power transformers operated in ONAN mode
KOCA ALİİHSAN, Şentürk Oğuzkan, ÇOLAK ANDAÇ BATUR, BACAK AYKUT, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Thermal Science and Engineering Progress
- Doi: 10.1016/j.tsep.2024.102515
|
2024
|
Prediction of performance parameters of a hermetic reciprocating compressor under different discharge lift limiter heights by machine learning
BACAK AYKUT,ÇOLAK ANDAÇ BATUR,DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
- Doi: 10.1177/09544089241249854
|
2024
|
Improving pressure drop predictions for R134a evaporation in corrugated vertical tubes using a machine learning technique trained with the Levenberg–Marquardt method
ÇOLAK ANDAÇ BATUR,BACAK AYKUT,KARAKOYUN YAKUP,KOCA ALİİHSAN,DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Journal of Thermal Analysis and Calorimetry
- Doi: 10.1007/s10973-024-13082-y
|
2024
|
A Novel Machine Learning Study: Maximizing the Efficiency of Parabolic Trough Solar Collectors with Engine Oil-Based Copper and Silver Nanofluids
ÇOLAK ANDAÇ BATUR,BAYRAK MUSTAFA
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - HEAT TRANSFER RESEARCH
- Doi: 10.1615/HeatTransRes.2024053037
|
2024
|
Assessment of heat transfer characteristics of a corrugated heat exchanger based on various corrugation parameters using artificial neural network approach
ÇOLAK ANDAÇ BATUR,KIRKAR ŞAFAK METİN,GÖNÜL ALİŞAN,DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Heat and Fluid Flow
- Doi: 10.1016/j.ijheatfluidflow.2024.109455
|
2024
|
Optimization of micro-rotation effect on magnetohydrodynamic nanofluid flow with artificial neural network
Shafiq Anum,ÇOLAK ANDAÇ BATUR,Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - ZAMM-Zeitschrift fur Angewandte Mathematik und Mechanik
- Doi: 10.1002/zamm.202300498
|
2024
|
CFD and ANN Analyses for the Evaluation of the Heat Transfer Characteristics of a Rectangular Microchannel Heat Sink with Various Cylindrical Pin-Fins
Tabatabaei Malazi Mehdi,KAYA KENAN,ÇOLAK ANDAÇ BATUR,DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Heat Mass Transfer
- Doi: 10.1007/s00231-024-03496-7
|
2024
|
Intelligent Computing for the Electro-osmotically Modulated Peristaltic Pumping of Blood-Based Nanofluid
Akbar Yasir,ÇOLAK ANDAÇ BATUR,Huang Shiping,Alshamrani Ali,Alam Mohammad M.
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - NUMERICAL HEAT TRANSFER PART A-APPLICATIONS
- Doi: 10.1080/10407782.2024.2377698
|
2024
|
Modeling the Influence of Nanoparticles and Gyrotactic Microorganisms on Natural Convection in a Heated Square Cavity using Artificial Neural Network (ANN)
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - HEAT TRANSFER RESEARCH
- Doi: 10.1615/HeatTransRes.2024049994
|
2024
|
Dairy factory milk product processing and sustainable of the shelf-life extension with artificial intelligence: A model study
ÖZTUNA TANER ÖZNUR,ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Frontiers in Sustainable Food Systems
- Doi: 10.3389/fsufs.2024.1344370
|
2024
|
Comparison of experimental thermal conductivity of water-based Al2O3–Cu hybrid nanofluid with theoretical models and artificial neural network output
ÇOLAK ANDAÇ BATUR,BAYRAK MUSTAFA
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Journal of Thermal Analysis and Calorimetry
- Doi: 10.1007/s10973-024-13617-3
|
2024
|
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
Awere Collince Omondi,Sneha Anbalagan,Rakkammal Kasinathan,Muthui Martin Mwaura,Kumari R Anitha,Govindan Suresh,ÇOLAK ANDAÇ BATUR,BAYRAK MUSTAFA,Muthuramalingam Pandiyan,Anadebe Valentine Chikaodili,Archana Pandi,Sekar Chinnathambi,Ramesh Manikandan
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Plant Physiology and Biochemistry
- Doi: 10.1016/j.plaphy.2024.109142
|
2024
|
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
Shafiq Anum,ÇOLAK ANDAÇ BATUR,Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal for Numerical Methods in Fluids
- Doi: 10.1002/fld.5348
|
2024
|
Advancing nanofluid technology: Experimental thermal conductivity measurements and accurate predictive models for yttrium oxide-water nanofluid using neural networks and mathematical correlations
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Numerical Heat Transfer, Part B: Fundamentals
- Doi: 10.1080/10407790.2023.2300691
|
2024
|
Advancing water disinfection strategies: assessing disinfection efficiency with a Bayesian Regularized artificial neural network model
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
EBSCOhost, 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) -
Özgün Makale - Australian Journal of Multi-Disciplinary Engineering
- Doi: 10.1080/14488388.2024.2365012
|
2024
|
Experimental and Machine Learning Research on a Multi-Functional Trombe Wall System
ÇOLAK ANDAÇ BATUR,REZAEI MARZIEH,AYDIN DEVRİM,DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Global Warming
- Doi: 10.1504/IJGW.2024.10064276
|
2024
|
Adjoined ISPH method and artificial intelligence for thermal radiation on double diffusion inside a porous L-shaped cavity with fins
Elshehabey Hillal M., ÇOLAK ANDAÇ BATUR, Aly Abdelraheem M.
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Numerical Methods for Heat and Fluid Flow
- Doi: 10.1108/HFF-11-2023-0677
|
2024
|
An artificial neural network-based numerical estimation of the boiling pressure drop of different refrigerants flowing in smooth and micro-fin tubes
ÇOLAK ANDAÇ BATUR, BACAK AYKUT, KAYACI NURULLAH, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Kerntechnik
- Doi: 10.1515/kern-2023-0087
|
2024
|
A comparative analysis of maximum likelihood estimation and artificial neural network modeling to assess electrical component reliability
ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz, lone Showkat Ahmad, Akhtar Tanwir, Shafiq Anum
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Quality and Reliability Engineering International
- Doi: 10.1002/qre.3233
|
2024
|
Modeling of Soret and Dufour’s Convective Heat Transfer in Nanofluid Flow Through a Moving Needle with Artificial Neural Network
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Arabian Journal for Science and Engineering
- Doi: 10.1007/s13369-022-06945-9
|
2023
|
A Decreasing Failure Rate Model with a Novel Approach to Enhance the Artificial Neural Networks Structure for Engineering and Disease Data Analysis
Sindhu Tabassum Naz, ÇOLAK ANDAÇ BATUR, lone Showkat Ahmad, Shafiq Anum, Abushal Tahani A.
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Tribology International
- Doi: 10.1016/j.triboint.2023.109231
|
2023
|
Investigating hermetic reciprocating compressor performance by using various machine learning methods
BACAK AYKUT, ÇOLAK ANDAÇ BATUR, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Part C: Journal of Mechanical Engineering Science
- Doi: 10.1177/09544062231213276
|
2023
|
Determination of optimum insulation thickness in submarines
Durmaz Savaş, ÇOLAK ANDAÇ BATUR, MERCAN HATİCE, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
ESCI -
Özgün Makale - Journal of Thermal Engineering
- Doi: 10.18186/thermal.1401677
|
2023
|
An Experimental Evaluation of Workability and Bleeding Behaviors of Ultra-sonicated Nano Zinc Oxide (n-ZnO) Doped Cement Pastes Incorporated with Fly Ash
ÇELİK FATİH, ÇOLAK ANDAÇ BATUR, YILDIZ OĞUZHAN, BOZKIR SAMET MÜFİT
Uluslararası -
Hakemli -
ESCI -
Özgün Makale - Nanoscience and Technology: An International Journal
- Doi: 10.1615/NanoSciTechnolIntJ.2023049421
|
2023
|
Flow control over a circular cylinder using vortex generators: Particle image velocimetry analysis and machine-learning-based prediction of flow characteristics
OKBAZ ABDULKERİM, AKSOY MUHARREM HİLMİ, KURTULMUŞ NAZIM, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Ocean Engineering
- Doi: 10.1016/j.oceaneng.2023.116055
|
2023
|
Development of an intelligent computing system using neural networks for modeling bioconvection flow of second-grade nanofluid with gyrotactic microorganisms
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Numerical Heat Transfer: Part B
- Doi: 10.1080/10407790.2023.2273512
|
2023
|
An Intelligent Approach for Predicting Mechanical Properties of High-Volume Fly Ash (HVFA) Concrete
Adamu Musa, ÇOLAK ANDAÇ BATUR, Umar Ibrahim K., Ibrahim Yasser E., Hamza Mukhtar F.
Uluslararası -
Hakemli -
Scopus -
Özgün Makale - Civil Engineering Journal
- Doi: 10.28991/CEJ-2023-09-09-04
|
2023
|
Comparative analysis to study the Darcy–Forchheimer Tangent hyperbolic flow towards cylindrical surface using artificial neural network: An application to Parabolic Trough Solar Collector
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Mathematics and Computers in Simulation
- Doi: 10.1016/j.matcom.2023.09.014
|
2023
|
From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids
GENÇ ÖMER, ŞAHİN FEVZİ, GÖKÇEK MURAT, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Powder Technology
- Doi: 10.1016/j.powtec.2023.118974
|
2023
|
The Intraday High-Frequency Trading with Different Data Ranges: A Comparative Study with Artificial Neural Network and Vector Autoregressive Models
KOY AYBEN, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
Google Scholar, CLOCKSS, Dimensions -
Özgün Makale - Archives of Advanced Engineering Science
- Doi: 10.47852/bonviewAAES32021325
|
2023
|
Predicting Stock Market Index and Credit Default Swap Spreads using Artificial Intelligence and Determining Non-Linear Relations
KOY AYBEN, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
Google Scholar, CLOCKSS, Dimensions -
Özgün Makale - Archives of Advanced Engineering Science
- Doi: 10.47852/bonviewAAES32021366
|
2023
|
Modeling and survival exploration of breast carcinoma: A statistical, maximum likelihood estimation, and artificial neural network perspective
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz, lone Showkat Ahmad, Abushal Tahani
Uluslararası -
Hakemli -
Directory of Open Access Journals (DOAJ) -
Özgün Makale - Artificial Intelligence in the Life Sciences
- Doi: 10.1016/j.ailsci.2023.100082
|
2023
|
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
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Journal of Energy Storage
- Doi: 10.1016/j.est.2023.108101
|
2023
|
Performance prediction of current-voltage characteristics of Schottky diodes at low temperatures using artificial intelligence
GÜZEL TAMER, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Microelectronics Reliability
- Doi: 10.1016/j.microrel.2023.115040
|
2023
|
Modeling of Darcy-Forchheimer magnetohydrodynamic Williamson nanofluid flow towards nonlinear radiative stretching surface using artificial neural network
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal for Numerical Methods in Fluids
- Doi: 10.1002/fld.5216
|
2023
|
The Role of Technical Indicators in the Intraday Prediction of Stock Markets: Artificial Neural Network Models for Borsa Istanbul
ÇOLAK ANDAÇ BATUR, KOY AYBEN
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Scientia Iranica
- Doi: 10.24200/sci.2023.58490.5752
|
2023
|
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)
ÇOLAK ANDAÇ BATUR, HORASAN BİLGEHAN YABGU, ÖZTÜRK ALİCAN, BAYRAK MUSTAFA
Uluslararası -
Hakemli -
EBSCO, SCImago -
Özgün Makale - Arabian Journal of Geosciences
- Doi: 10.1007/s12517-023-11355-8
|
2023
|
Experimental and numerical investigations on the heat transfer characteristics of a real-sized radiant cooled wall system supported by machine learning
ÇOLAK ANDAÇ BATUR, AÇIKGÖZ ÖZGEN, KARAKOYUN YAKUP, KOCA ALİİHSAN, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Thermal Sciences
- Doi: 10.1016/j.ijthermalsci.2023.108355
|
2023
|
Reliability Study of Generalized Rayleigh Distribution Based on Inverse Power Law using Artificial Neural Network with Bayesian Regularization
ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz, lone Showkat Ahmad, Shafiq Anum, Abushal Tahani
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Tribology International
- Doi: 10.1016/j.triboint.2023.108544
|
2023
|
Reliability study of generalized exponential distribution based on inverse power law using artificial neural network with Bayesian regularization
Sindhu Tabassum Naz, ÇOLAK ANDAÇ BATUR, lone Showkat Ahmad, Shafiq Anum
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Quality and Reliability Engineering International
- Doi: 10.1002/qre.3352
|
2023
|
Microstructural design of solid oxide fuel cell electrodes by micro-modeling coupled with artificial neural network
TİMURKUTLUK BORA, Ciflik Yelda, SONUGÜR GÜRAY, ALTAN TOLGA, GENÇ ÖMER, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Powder Technology
- Doi: 10.1016/j.powtec.2023.118551
|
2023
|
Experimental analysis of the effect of nanofluid use on power and efficiency enhancement in heat pipe solar collectors and modeling using artificial neural networks
ÜNVAR SİNAN, ÇOLAK ANDAÇ BATUR, MENLİK TAYFUN
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Heat Transfer Research
- Doi: 10.1615/HeatTransRes.2023047576
|
2023
|
Significance of EMHD graphene oxide (GO) water ethylene glycol nanofluid flow in a Darcy–Forchheimer medium by machine learning algorithm
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - The European Physical Journal Plus
- Doi: 10.1140/epjp/s13360-023-03798-5
|
2023
|
An experimental and new study on thermal conductivity and zeta potential of Fe3O4/water nanofluid: Machine learning modeling and proposing a new correlation
ŞAHİN FEVZİ, GENÇ ÖMER, GÖKÇEK MURAT, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Powder Technology
- Doi: 10.1016/j.powtec.2023.118388
|
2023
|
Construction of neural network based intelligent computing for treatment of Darcy-Forchheimer Sisko nanofluid flow with Rosseland?s radiative process
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Heat Transfer Research
- Doi: 10.1615/HeatTransRes.2023046617
|
2023
|
Levenberg-Marquardt Training Technique Analysis of Thermally Radiative and Chemically Reactive Stagnation Point Flow of non-Newtonian Fluid with Temperature Dependent Thermal Conductivity
Rehman Khalil Ur, Shatanawi Wasfi, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Mathematics
- Doi: 10.3390/math11030753
|
2023
|
Artificial Neural Networking estimation of Skin Friction Coefficient at Cylindrical Surface: A Casson Flow Field
Rehman Khalil Ur, Shatanawi Wasfi, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - The European Physical Journal Plus
- Doi: 10.1140/epjp/s13360-023-03704-z
|
2023
|
Estimation of heat transfer parameters of shell and helically coiled tube heat exchangers by machine learning
ÇOLAK ANDAÇ BATUR, AKGÜL DOĞAN, MERCAN HATİCE, DALKILIÇ AHMET SELİM, Wongwises Somchai
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Case Studies in Thermal Engineering
- Doi: 10.1016/j.csite.2023.102713
|
2023
|
Research on the influence of convector factors on a panel radiator’s heat output and total weight with a machine learning algorithm
ÇALIŞIR TAMER, ÇOLAK ANDAÇ BATUR, AYDIN DEVRİM, DALKILIÇ AHMET SELİM, BAŞKAYA ŞENOL
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - The European Physical Journal Plus
- Doi: 10.1140/epjp/s13360-022-03622-6
|
2023
|
Prediction of Mechanical Properties of Rubberized Concrete Incorporating Fly Ash and Nano Silica by Artificial Neural Network Technique
Adamu Musa, ÇOLAK ANDAÇ BATUR, Ibrahim Yasser E., Haruna Sadi I., Hamza Mukhtar Fatihu
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Axioms
- Doi: 10.3390/axioms12010081
|
2023
|
Computational Analysis on Magnetized and Non-Magnetized Boundary Layer Flow of Casson Fluid Past a Cylindrical Surface by Using Artificial Neural Networking
Rehman Khalil Ur, Shatanawi Wasfi, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Mathematics
- Doi: 10.3390/math11020326
|
2023
|
Artificial Neural Networking Magnification for Heat Transfer Coefficient in Convective Non-Newtonian Fluid with Thermal Radiations and Heat Generation Effects
Rehman Khalil Ur, Shatanawi Wasfi, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Mathematics
- Doi: 10.3390/math11020342
|
2023
|
Prediction of heat transfer characteristics in a microchannel with vortex generators by machine learning
GÖNÜL ALİŞAN, ÇOLAK ANDAÇ BATUR, KAYACI NURULLAH, OKBAZ ABDULKERİM, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Kerntechnik
- Doi: 10.1515/kern-2022-0075
|
2023
|
Analyzing of Nano-Silica Usage with Fly Ash for Grouts with Artificial Neural Network Models
ÇELİK FATİH, YILDIZ OĞUZHAN, ÇOLAK ANDAÇ BATUR, BOZKIR SAMET MÜFİT
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Advances in Cement Research
- Doi: 10.1680/jadcr.21.00180
|
2022
|
Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection
AÇIKGÖZ ÖZGEN, ÇOLAK ANDAÇ BATUR, CAMCI MUHAMMET, KARAKOYUN YAKUP, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Thermal Sciences
- Doi: 10.1016/j.ijthermalsci.2022.107624
|
2022
|
Comparative investigation of the usability of different machine learning algorithms in the analysis of battery thermal performances of electric vehicles
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Energy Research
- Doi: 10.1002/er.8492
|
2022
|
Carreau Akışkanının Dikey Germe Silindirindeki Akış Karakteristiklerinin Yapay Zeka Yaklaşımıyla Analizi
ÇOLAK ANDAÇ BATUR
Ulusal -
Hakemli -
TR DİZİN -
Özgün Makale - Mühendis ve Makina
- Doi: 10.46399/muhendismakina.1165731
|
2022
|
Prediction of nanofluid flows’ optimum velocity in finned tube-in-tube heat exchangers using artificial neural network
ÇOLAK ANDAÇ BATUR, MERCAN HATİCE, AÇIKGÖZ ÖZGEN, DALKILIÇ AHMET SELİM, Wongwises Somchai
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Kerntechnik
- Doi: 10.1515/kern-2022-0097
|
2022
|
Optimization of the Numerical Treatment of the Darcy-Forchheimer Flow of Ree-Eyring Fluid with Chemical Reaction by Using Artificial Neural Networks
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal for Numerical Methods in Fluids
- Doi: 10.1002/fld.5147
|
2022
|
Numerical determination of condensation pressure drop of various refrigerants in smooth and micro-fin tubes via ANN method
ÇOLAK ANDAÇ BATUR, CELEN ALİ, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - KERNTECHNIK
- Doi: 10.1515/kern-2022-0037
|
2022
|
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
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - HEAT TRANSFER RESEARCH
- Doi: 10.1615/HeatTransRes.2022045008
|
2022
|
Discharging performance prediction of experimentally tested sorption heat storage materials with machine learning method
ÇOLAK ANDAÇ BATUR, AYDIN DEVRİM, DALKILIÇ AHMET SELİM, Al-Ghosini Abdullah
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Journal of Energy Storage
- Doi: 10.1016/j.est.2022.106159
|
2022
|
An Experimental Investigation on Workability and Bleeding Features
ÇELİK FATİH, ÇOLAK ANDAÇ BATUR, YILDIZ OĞUZHAN, BOZKIR SAMET MÜFİT
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - ACI Materials Journal
- Doi: 10.14359/51735949
|
2022
|
Significance of bioconvective flow of MHD thixotropic nanofluid passing through a vertical surface by machine learning algorithm
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Chinese Journal of Physics
- Doi: 10.1016/j.cjph.2022.08.008
|
2022
|
Prediction of heat transfer coefficient, pressure drop, and overall cost of double-pipe heat exchangers using the artificial neural network
ÇOLAK ANDAÇ BATUR, AÇIKGÖZ ÖZGEN, MERCAN HATİCE, DALKILIÇ AHMET SELİM, Wongwises Somchai
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Case Studies in Thermal Engineering
- Doi: 10.1016/j.csite.2022.102391
|
2022
|
Optimization of Bioconvective Magnetized Walter’s B Nanofluid Flow towards a Cylindrical Disk with Artificial Neural Networks
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Lubricants
- Doi: 10.3390/lubricants10090209
|
2022
|
Artificial neural network approach for investigating the impact of convector design parameters on the heat transfer and total weight of panel radiators
ÇALIŞIR TAMER, ÇOLAK ANDAÇ BATUR, AYDIN DEVRİM, DALKILIÇ AHMET SELİM, BAŞKAYA ŞENOL
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Thermal Sciences
- Doi: 10.1016/j.ijthermalsci.2022.107845
|
2022
|
Investigation of the usability of machine learning algorithms in determining the specific electrical parameters of Schottky diodes
GÜZEL TAMER, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Materials Today Communications
- Doi: 10.1016/j.mtcomm.2022.104175
|
2022
|
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
ÇOLAK ANDAÇ BATUR, GÜZEL TAMER, Shafiq Anum, Nonlaopon Kamsing
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Symmetry-Basel
- Doi: 10.3390/sym14081511
|
2022
|
Investigation of flow parameters of Reiner-Philippoff nanofluid flow with higher-order slip properties, activation energy, and bioconvection by artificial neural networks
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
ESCI -
Özgün Makale - Heat Transfer
- Doi: 10.1002/htj.22529
|
2022
|
Artificial Neural Networking (ANN) Model for Drag Coefficient Optimization for Various Obstacles
Rehman Khalil Ur, ÇOLAK ANDAÇ BATUR, Shatanawi Wasfi
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Mathematics
- Doi: 10.3390/math10142450
|
2022
|
Artificial Neural Networking (ANN) Model for Convective Heat Transfer in Thermally Magnetized Multiple Flow Regimes with Temperature Stratification Effects
Rehman Khalil Ur, ÇOLAK ANDAÇ BATUR, Shatanawi Wasfi
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Mathematics
- Doi: 10.3390/math10142394
|
2022
|
An Experimental Investigation on Workability and Bleeding Behaviors of Cement Pastes Doped with Nano Titanium Oxide (n-TiO2) Nanoparticles and Fly Ash
ÇELİK FATİH, YILDIZ OĞUZHAN, ÇOLAK ANDAÇ BATUR, BOZKIR SAMET MÜFİT
Uluslararası -
Hakemli -
Emerging Sources Citation Index -
Özgün Makale - Fluid Dynamics & Materials Processing
- Doi: 10.32604/fdmp.2022.021014
|
2022
|
Thermal analysis of flowing stream in partially heated double forward-facing step by using artificial neural network
Rehman Khalil Ur, Shatanawi Wasfi, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Case Studies in Thermal Engineering
- Doi: 10.1016/j.csite.2022.102221
|
2022
|
Reliability investigation of exponentiated Weibull distribution using IPL through numerical and artificial neural network modeling
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Quality and Reliability Engineering International
- Doi: 10.1002/qre.3155
|
2022
|
Reliability Analysis Based on Mixture of Lindley Distributions with Artificial Neural Network
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Swarup Chetan, Sindhu Tabassum Naz, lone Showkat Ahmad
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Advanced Theory and Simulations
- Doi: 10.1002/adts.202200100
|
2022
|
Comparative Study of Artificial Neural Network versus Parametric Method in COVID-19 data Analysis
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz, lone Showkat Ahmad, Alsubie Abdelaziz, JARAD FAHD
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Results in Physics
- Doi: 10.1016/j.rinp.2022.105613
|
2022
|
Modeling of Darcy-Forchheimer bioconvective Powell Eyring nanofluid with artificial neural network
ÇOLAK ANDAÇ BATUR, Shafiq Anum, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Chinese Journal of Physics
- Doi: 10.1016/j.cjph.2022.04.004
|
2022
|
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
ÇELİK FATİH, ÇOLAK ANDAÇ BATUR, YILDIZ OĞUZHAN, BOZKIR SAMET MÜFİT
Uluslararası -
Hakemli -
DOAJ -
Özgün Makale - Journal of Cement Based Composites
- Doi: 10.36937/cebacom.2022.5624
|
2022
|
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
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
DOAJ -
Özgün Makale - Chemical Thermodynamics and Thermal Analysis
- Doi: 10.1016/j.ctta.2022.100056
|
2022
|
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
MERCAN HATİCE, Sönmez Furkan, ÇOLAK ANDAÇ BATUR, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - The European Physical Journal Plus
- Doi: 10.1140/epjp/s13360-022-02578-x
|
2022
|
Developing Prediction Model on Workability Parameters of Ultrasonicated Nano Silica (n-SiO2) and Fly Ash Added Cement-Based Grouts by Using Artificial Neural Networks
ÇOLAK ANDAÇ BATUR, YILDIZ OĞUZHAN, ÇELİK FATİH, BOZKIR SAMET MÜFİT
Uluslararası -
Hakemli -
ESCI -
Özgün Makale - Advances in Civil Engineering Materials
- Doi: 10.1520/ACEM20210124
|
2022
|
Reliability modeling and analysis of mixture of exponential distributions using artificial neural network
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Lone Showkat Ahmad, Sindhu Tabassum Naz, Muhammad Taseer
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Mathematical Methods in the Applied Sciences
- Doi: 10.1002/mma.8178
|
2022
|
A Numerical Study Aimed at Finding Optimal Artificial Neural Network Model Covering Experimentally Obtained Heat Transfer Characteristics of Hydronic Underfloor Radiant Heatin
ÇOLAK ANDAÇ BATUR, KARAKOYUN YAKUP, AÇIKGÖZ ÖZGEN, YUMURTACI ZEHRA, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Heat Transfer Research
- Doi: 10.1615/HeatTransRes.2022041668
|
2022
|
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
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
DOAJ -
Özgün Makale - Chemical Thermodynamics and Thermal Analysis
- Doi: 10.1016/j.ctta.2022.100039
|
2022
|
An experimental study on artificial intelligence\u2010based prediction of capacitance\u2010voltage parameters of polymer\u2010interface 6H\u2010SiC/MEH\u2010PPV/Al Schottky diodes
GÜZEL TAMER, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - physica status solidi (a)
- Doi: 10.1002/pssa.202100821
|
2022
|
Optimization of Darcy-Forchheimer squeezing flow in nonlinear stratified fluid under convective conditions with artificial neural network
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz, Muhammad Taseer
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Heat Transfer Research
- Doi: 10.1615/HeatTransRes.2021041018
|
2022
|
Prediction of experimental thermal performance of new designed cold plate for electric vehicles’ Li-ion pouch-type battery with artificial neural network
KALKAN ORHAN, ÇOLAK ANDAÇ BATUR, CELEN ALİ, BAKIRCI KADİR, DALKILIÇ AHMET SELİM
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Journal of Energy Storage
- Doi: 10.1016/j.est.2022.103981
|
2022
|
An experimental study on the comparative analysis of the effect of the number of data on the error rates of artificial neural networks
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Energy Research
- Doi: 10.1002/er.5680
|
2021
|
Artificial Intelligence Approach on Predicting Current Values of Polymer Interface Schottky Diode Based on Temperature and Voltage: An Experimental Study
GÜZEL TAMER, ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Superlattices and Microstructures
- Doi: 10.1016/j.spmi.2021.106864
|
2021
|
An experimental study on determination of the shottky diode current-voltage characteristic depending on temperature with artificial neural network
ÇOLAK ANDAÇ BATUR, GÜZEL TAMER, YILDIZ OĞUZHAN, ÖZER METİN
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Physica B: Condensed Matter
- Doi: 10.1016/j.physb.2021.412852
|
2021
|
Artificial Intelligence Approach in Predicting the Efect of Elevated Temperature on the Mechanical Properties of PET Aggregate Mortars: An Experimental Study
ÇOLAK ANDAÇ BATUR, AKÇAÖZOĞLU KUBİLAY, AKÇAÖZOĞLU SEMİHA, BELLER GÜLHAN
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
- Doi: doi.org/10.1007/s13369-020-05280-1
|
2021
|
Experimental study for thermal conductivity of water based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Doi: 10.1002/er.5988
|
2021
|
A comprehensive and comparative experimental analysis on thermal conductivity of TiO2-CaCO3/Water hybrid nanofluid: Proposing new correlation and artificial neural network opt
Öcal Sultan, GÖKÇEK MURAT, ÇOLAK ANDAÇ BATUR, KORKANÇ MUSTAFA
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Heat Transfer Research
- Doi: 10.1615/HeatTransRes.2021039444
|
2021
|
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
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal of Energy Research
- Doi: 10.1002/er.6989
|
2021
|
Designing artificial neural network of nanoparticle diameter and solid fluid interfacial layer on SWCNTs/EG nanofluid flow on thin slendering needles
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - International Journal for Numerical Methods in Fluids
- Doi: 10.1002/fld.5038
|
2021
|
Estimation of unsteady hydromagnetic Williamson fluid flow in a radiative surface through numerical and artificial neural network modeling
Shafiq Anum, ÇOLAK ANDAÇ BATUR, Sindhu Tabassum Naz, Al-Mdallal Qasem M., Abdeljawad Thabet
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Scientific Reports
- Doi: 10.1038/s41598-021-93790-9
|
2021
|
Experimental analysis with specific heat of water based zirconium oxide nanofluid on the effect of training algorithm on predictive performance of artificial neural network
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - HEAT TRANSFER RESEARCH
- Doi: 10.1615/HeatTransRes.2021036697
|
2021
|
Prediction of infection and death ratio of CoVID-19 virus in Turkey by using artificial neural network (ANN)
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
Endekste taranmıyor -
Özgün Makale - Coronaviruses
- Doi: 10.2174/2666796701999200915142539
|
2021
|
Experimental study for artificial neural network (ANN) based prediction of electric energy production of diesel engine based cogeneration power plant
ÇOLAK ANDAÇ BATUR
Ulusal -
Hakemli -
TR DİZİN -
Özgün Makale - Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
- Doi: 10.28948/ngumuh.754411
|
2021
|
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
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Powder Technology
- Doi: https://doi.org/10.1016/j.powtec.2020.12.053
|
2021
|
Experimental study for predicting the specific heat of water based Cu-Al2O3 hybrid nanofluid using artificial neural network and proposing new correlation
ÇOLAK ANDAÇ BATUR,YILDIZ OĞUZHAN,BAYRAK MUSTAFA,TEZEKİCİ BEKİR SAMİ
Uluslararası -
Hakemli -
SCI -
Özgün Makale - INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Doi: 10.1002/er.5417
|
2020
|
Experimental Study on the Specific Heat Capacity Measurement of Water-Based Al2O3-Cu Hybrid Nanofluid by using Differential Thermal Analysis Method
ÇOLAK ANDAÇ BATUR,YILDIZ OĞUZHAN,BAYRAK MUSTAFA,CELEN ALİ,DALKILIÇ AHMET SELİM,Wongwises Somchai
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Current Nanoscience
- Doi: 10.2174/1573413715666191118105331
|
2020
|
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
ÇOLAK ANDAÇ BATUR
Uluslararası -
Hakemli -
SCI-Expanded -
Özgün Makale - Heat Transfer Research
- Doi: 10.1615/HeatTransRes.2020034724
|
2020
|