Prof. Ş&#220;KR&#220; &#214;ZŞAHİN

JOURNAL OF HEALTH ORGANIZATION AND MANAGEMENT , vol.40, no.4, pp.811-836, 2026 (SSCI, Scopus)

2. A Fuzzy Cognitive Map Framework to Analyze Factors Influencing the Spread and Growth of Forest Fires

JOURNAL OF SUSTAINABLE FORESTRY , 2026 (SCI-Expanded, Scopus)

3. Analyzing the key drivers of bryophyte extinction using an interval-valued Fermatean fuzzy SWARA approach

Flora: Morphology, Distribution, Functional Ecology of Plants , vol.338, 2026 (SCI-Expanded, Scopus)

4. A decision-making framework for fire safety in engineered timber buildings: an IVIF-SWARA-based assessment

European Journal of Wood and Wood Products , vol.84, no.2, 2026 (SCI-Expanded, Scopus)

5. Risk analysis of formaldehyde emission mechanisms in urea-formaldehyde-bonded wood products with interval type-2 fuzzy hybrid modeling

Wood Material Science and Engineering , 2026 (SCI-Expanded, Scopus)

6. Pythagorean fuzzy logic-based evaluation of factors affecting the bonding strength of wood and wood-based materials

JOURNAL OF ADHESION SCIENCE AND TECHNOLOGY , vol.39, no.22, pp.3431-3455, 2025 (SCI-Expanded, Scopus)

7. A spherical fuzzy SWARA approach to identify and prioritize factors affecting the pyrolysis process

BIOMASS & BIOENERGY , vol.202, 2025 (SCI-Expanded, Scopus)

8. A neutrosophic decision-making framework to identify and prioritize limiting factors in wood harvesting

INTERNATIONAL JOURNAL OF FOREST ENGINEERING , vol.36, no.2, pp.116-132, 2025 (SCI-Expanded, Scopus)

9. Patient Routing for the Emergency Department: A Simulation-Optimization Framework for Reducing Travel and Service Times

Burak Paç A., Demir M., Genç S., ÖZŞAHİN Ş.

International Journal of Computational and Experimental Science and Engineering , vol.11, no.2, pp.1632-1644, 2025 (Scopus, TRDizin)

10. A Pythagorean Fuzzy Approach to Identify and Prioritize Factors Affecting Import Decisions in Wood Supply Chain

DRVNA INDUSTRIJA , vol.76, no.1, pp.33-45, 2025 (SCI-Expanded, Scopus) Sustainable Development

11. Prediction of effect of fabrication parameters on the properties of B4C ceramic particle reinforced AA2024 matrix nanocomposites using neural networks

Varol T., Çanakçı A., Özşahin Ş., Beder M., Akçay S. B.

MATERIALS TODAY COMMUNICATIONS , vol.39, 2024 (SCI-Expanded, Scopus) Sustainable Development

12. An interval-valued intuitionistic fuzzy analytic hierarchy process model for understanding consumer decision-making in non-wood forest product purchases

JOURNAL OF RETAILING AND CONSUMER SERVICES , vol.78, 2024 (SSCI, Scopus)

13. Analysis of Key Attributes of Wooden Toys via an Interval-Valued Spherical Fuzzy Analytic Hierarchy Process

DRVNA INDUSTRIJA , vol.74, no.2, pp.167-182, 2023 (SCI-Expanded, Scopus)

14. Applying an interval-valued Pythagorean fuzzy analytic hierarchy process to rank factors influencing wooden outdoor furniture selection

Cakmak A., Malkocoglu A., ÖZŞAHİN Ş.

WOOD MATERIAL SCIENCE & ENGINEERING , vol.18, no.1, pp.322-333, 2023 (SCI-Expanded, Scopus)

15. Optimization of wood machining parameters using artificial neural network in CNC router

MATERIALS SCIENCE AND TECHNOLOGY , vol.39, no.14, pp.1728-1744, 2023 (SCI-Expanded, Scopus)

16. Artificial neural-network optimisation of nail size and spacings of plywood shear wall

DEMİR A., DEMİRKIR C., ÖZŞAHİN Ş., AYDIN İ.

WOOD MATERIAL SCIENCE & ENGINEERING , vol.18, no.1, pp.97-106, 2023 (SCI-Expanded, Scopus)

17. Prioritization of laminate flooring selection criteria from experts' perspectives: a spherical fuzzy AHP-based model

ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT , no.6, pp.911-926, 2022 (SCI-Expanded, Scopus)

18. Prediction of noise emission in the machining of wood materials by means of an artificial neural network

ÖZŞAHİN Ş., Singer H.

NEW ZEALAND JOURNAL OF FORESTRY SCIENCE , pp.1-10, 2022 (SCI-Expanded, Scopus)

19. Prioritization of factors affecting surface roughness of wood and wood-based materials in CNC machining: a fuzzy analytic hierarchy process model

WOOD MATERIAL SCIENCE & ENGINEERING , no.2, pp.63-71, 2022 (SCI-Expanded, Scopus)

20. The use of an artificial neural network for predicting the gloss of thermally densified wood veneers

BALTIC FORESTRY , vol.27, no.2, pp.271-278, 2021 (SCI-Expanded, Scopus)

21. A MULTIPLE CRITERIA ANALYSIS OF FACTORS INFLUENCING SURFACE ROUGHNESS OF WOOD AND WOOD-BASED MATERIALS IN THE PLANING PROCESS

CERNE , no.1, pp.58-65, 2020 (SCI-Expanded, Scopus)

22. Prediction of Surface Roughness and Adhesion Strength of Wood by Artificial Neural Networks

ÖZŞAHİN Ş., Singer H.

JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI , no.4, pp.889-900, 2019 (ESCI, TRDizin)

23. Development of an Artificial Neural Network Model to Minimize Power Consumption in the Milling of Heat-Treated and Untreated Wood

ÖZŞAHİN Ş., Singer H.

KASTAMONU UNIVERSITY JOURNAL OF FORESTRY FACULTY , vol.19, no.3, pp.317-328, 2019 (ESCI, TRDizin)

24. Odun yüzey pürüzlülüğü tahmininde bir yapay sinir ağı modelinin kullanılması

Düzce Üniversitesi Bilim ve Teknoloji Dergisi , vol.7, no.3, pp.1764-1777, 2019 (TRDizin)

25. Odun Yüzey Pürüzlülüğü Tahmininde Bir Yapay Sinir Ağı Modelinin Kullanılması

DÜZCE ÜNİVERSİTESİ BİLİM VE TEKNOLOJİ DERGİSİ , vol.7, no.3, pp.1764-1777, 2019 (TRDizin)

26. Artificial neural network analysis of the effect of matrix size and milling time on the properties of flake Al-Cu-Mg alloy particles synthesized by ball milling

VAROL T., ÖZŞAHİN Ş.

PARTICULATE SCIENCE AND TECHNOLOGY , vol.37, no.3, pp.381-390, 2019 (SCI-Expanded, Scopus)

27. Selection of Softwood Species for Structural and Non-Structural Timber Construction by Using the Analytic Hierarchy Process (AHP) and the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA)

ÖZŞAHİN Ş., Singer H., TEMİZ A., YILDIRIM İ.

BALTIC FORESTRY , no.2, pp.281-288, 2019 (SCI-Expanded, Scopus)

28. Artificial Neural Network-Based New Methodology for Modeling of Asphalt Mixtures and Comparison with IKE Method

İSKENDER E., AKSOY A., ÖZŞAHİN Ş., KAHRAMAN H. T., KONAK S. D.

Journal of Investigations on Engineering & Technology , vol.1, no.2, pp.1-13, 2018 (Peer-Reviewed Journal)

29. Prediction of effect of reinforcement content, flake size and flake time on the density and hardness of flake AA2024-SiC nanocomposites using neural networks

TİRYAKİ S., ÖZŞAHİN Ş., AYDIN A.

JOURNAL OF ALLOYS AND COMPOUNDS , vol.739, pp.1005-1014, 2018 (SCI-Expanded, Scopus)

30. Prediction of equilibrium moisture content and specific gravity of heat treated wood by artificial neural networks

ÖZŞAHİN Ş., Murat M.

EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS , vol.76, no.2, pp.563-572, 2018 (SCI-Expanded, Scopus)

31. Employing an analytic hierarchy process to prioritize factors influencing surface roughness of wood and wood-based materials in the sawing process

SINGER H., ÖZŞAHİN Ş.

TURKISH JOURNAL OF AGRICULTURE AND FORESTRY , vol.42, no.5, pp.364-371, 2018 (SCI-Expanded, Scopus, TRDizin)

32. Artificial neural network-based prediction technique for coating thickness in Fe-Al coatings fabricated by mechanical milling

VAROL T., ÇANAKÇI A., ÖZŞAHİN Ş., ERDEMİR F., ÖZKAYA S.

PARTICULATE SCIENCE AND TECHNOLOGY , vol.36, no.6, pp.742-750, 2018 (SCI-Expanded, Scopus)

33. AN APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR MODELING FORMALDEHYDE EMISSION BASED ON PROCESS PARAMETERS IN PARTICLEBOARD MANUFACTURING PROCESS

AKYÜZ İ., ÖZŞAHİN Ş., TİRYAKİ S., Aydın A.

CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY , vol.19, pp.1449-1458, 2017 (SCI-Expanded, Scopus)

34. Employing artificial neural networks for minimizing surface roughness and power consumption in abrasive machining of wood

EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS , vol.75, no.3, pp.347-358, 2017 (SCI-Expanded, Scopus) Sustainable Development

35. ARTIFICIAL NEURAL NETWORK MODELING TO PREDICT OPTIMUM POWER CONSUMPTION IN WOOD MACHINING

TİRYAKİ S., Malkocoglu A., ÖZŞAHİN Ş.

DREWNO , vol.59, no.196, pp.109-125, 2016 (SCI-Expanded, Scopus) Sustainable Development

36. Artificial neural network to predict the effect of heat treatment, reinforcement size, and volume fraction on AlCuMg alloy matrix composite properties fabricated by stir casting method

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , vol.78, pp.305-317, 2015 (SCI-Expanded, Scopus)

37. Modeling of the Prediction of Densification Behavior of Powder Metallurgy Al-Cu-Mg/B4C Composites Using Artificial Neural Networks

TİRYAKİ S., ÖZŞAHİN Ş., YILDIRIM İ.

ACTA METALLURGICA SINICA-ENGLISH LETTERS , vol.28, no.2, pp.182-195, 2015 (SCI-Expanded, Scopus)

38. Comparison of artificial neural network and multiple linear regression models to predict optimum bonding strength of heat treated woods

INTERNATIONAL JOURNAL OF ADHESION AND ADHESIVES , vol.55, pp.29-36, 2014 (SCI-Expanded, Scopus)

39. Artificial Neural Network Approach to Predict the Abrasive Wear of AA2024-B4C Composites

ÇANAKÇI A., VAROL T., ÖZŞAHİN Ş., ÖZKAYA S.

Universal Journal of Materials Science , no.6, pp.111-118, 2014 (Peer-Reviewed Journal)

40. Prediction of Non-Wood Forest Products Trade Using Artificial Neural Networks

YILDIRIM İ., ÖZŞAHİN Ş., OKAN O. T.

JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY , vol.16, pp.1493-1504, 2014 (SCI-Expanded, Scopus) Sustainable Development

41. Prediction of Effect of Reinforcement Size and Volume Fraction on the Abrasive Wear Behavior of AA2014/B4Cp MMCs Using Artificial Neural Network

ÇANAKÇI A., ÖZŞAHİN Ş., VAROL T.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , vol.39, no.8, pp.6351-6361, 2014 (SCI-Expanded, Scopus)

42. Prediction of the influence of processing parameters on synthesis of Al2024-B4C composite powders in a planetary mill using an artificial neural network

Malkocoglu A., Yerlikaya N. C., ÖZŞAHİN Ş.

SCIENCE AND ENGINEERING OF COMPOSITE MATERIALS , vol.21, no.3, pp.411-420, 2014 (SCI-Expanded, Scopus)

43. Prediction of the optimum veneer drying temperature for good bonding in plywood manufacturing by means of artificial neural network

ÖZŞAHİN Ş., AYDIN İ.

WOOD SCIENCE AND TECHNOLOGY , vol.48, no.1, pp.59-70, 2014 (SCI-Expanded, Scopus)

44. EVALUALUATION AND OPTIMIZATION OF BENDING MOMENT CAPACITY OF CORNER JOINTS WITH DIFFERENT BORING PLANS IN CABINET CONSTRUCTION

WOOD RESEARCH , vol.59, no.1, pp.201-215, 2014 (SCI-Expanded, Scopus)

45. Optimization of process parameters in oriented strand board manufacturing with artificial neural network analysis

Ozsahin S.

EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS , vol.71, no.6, pp.769-777, 2013 (SCI-Expanded, Scopus)

46. Artificial neural network modeling to effect of reinforcement properties on the physical and mechanical properties of Al2024-B4C composites produced by powder metallurgy

COMPOSITES PART B-ENGINEERING , vol.54, pp.224-233, 2013 (SCI-Expanded, Scopus)

47. Optimization of some panel manufacturing parameters for the best bonding strength of plywood

DEMİRKIR C., ÖZŞAHİN Ş., AYDIN İ., ÇOLAKOĞLU G.

INTERNATIONAL JOURNAL OF ADHESION AND ADHESIVES , vol.46, pp.14-20, 2013 (SCI-Expanded, Scopus)

48. Analysis of the effect of a new process control agent technique on the mechanical milling process using a neural network model: Measurement and modeling

MEASUREMENT , vol.46, no.6, pp.1818-1827, 2013 (SCI-Expanded, Scopus)

49. Prediction of effect of volume fraction, compact pressure and milling time on properties of Al-Al2O3 MMCs using neural networks

ÇANAKÇI A., ÖZŞAHİN Ş., VAROL T.

METALS AND MATERIALS INTERNATIONAL , vol.19, no.3, pp.519-526, 2013 (SCI-Expanded, Scopus)

50. Modeling the influence of a process control agent on the properties of metal matrix composite powders using artificial neural networks

POWDER TECHNOLOGY , vol.228, pp.26-35, 2012 (SCI-Expanded, Scopus)

51. THE USE OF AN ARTIFICIAL NEURAL NETWORK FOR MODELING THE MOISTURE ABSORPTION AND THICKNESS SWELLING OF ORIENTED STRAND BOARD

Ozsahin S.

BIORESOURCES , vol.7, no.1, pp.1053-1067, 2012 (SCI-Expanded, Scopus)

52. PREDICTION OF THE FINANCIAL RETURN OF THE PAPER SECTOR WITH ARTIFICIAL NEURAL NETWORKS

YILDIRIM İ., ÖZŞAHİN Ş., AKYÜZ K. C.

BIORESOURCES , vol.6, no.4, pp.4076-4091, 2011 (SCI-Expanded, Scopus)

53. Okaliptüs Tomruklarından Kereste Biçme Teknikleri

ÇOLAKOĞLU G., ÖZŞAHİN Ş., AYDIN İ.

Ahşap Yapı Malzemeleri & Sektör Dergisi , no.10, pp.32-36, 2002 (Non Peer-Reviewed Journal)

54. Fayda-Değer Analizi Bilgisayar Programı ve Bartın-İnkumu Tatil Beldesinde Uygulanışı

AYTEKİN A., SARAÇOĞLU N., KARAYILMAZLAR S., ÖZŞAHİN Ş.

PAMUKKALE ÜNİVERSİTESİ MÜHENDİSLİK BİLİMLERİ DERGİSİ , vol.7, no.2, pp.295-303, 2001 (TRDizin)

55. Quick Basic Programlama Diliyle İşletmelerde Bireysel Performans Değerlemeye Yönelik Bir Paket Programın Geliştirilmesi

BARLI Ö., ÖZŞAHİN Ş.

Standard Ekonomik ve Teknik Dergi , no.442, pp.68-72, 1998 (Non Peer-Reviewed Journal)

Papers Presented at Peer-Reviewed Scientific Conferences 36

1. Multicriteria evaluation of structural composite lumber products

International Forest Products Congress - ORENKO 2020, Trabzon, Turkey, 23 - 26 September 2020, pp.86-96, (Full Text)

2. Location selection for the furniture industry by using a goal programming model

International Forest Products Congress - ORENKO 2020, Trabzon, Turkey, 23 - 26 September 2020, pp.97-104, (Full Text)

3. Using the Anfis Approach to Predict the Noise Level in the Machining of Wood Materials

International Black Sea Coastline Countries Symposium-III, Zonguldak, Turkey, 18 - 20 October 2019, pp.27-36, (Full Text)

4. Evaluation of Some Natural Spring Waters in the Eastern Black Sea Region Based on Elements An Integrated Mcdm Approach

International Black Sea Coastline Countries Symposium-III, Zonguldak, Turkey, 18 - 20 October 2019, pp.15-26, (Full Text)

5. A Prioritization Study with the Fuzzy Analytic Hierarchy Process Method: Analyzing Wood Surface Roughness Factors

International Congress of Academic Research, Bolu, Turkey, 16 - 18 September 2019, pp.25-35, (Full Text)

6. Multi-criteria Evaluation of Heavy Metal Pollution of Coruh River Basin

International Congress of Academic Research, Bolu, Turkey, 16 - 18 September 2019, pp.36-44, (Full Text)

7. Comparison of Artificial Neural Network and Multiple Linear Regression Models in Predicting the Surface Roughness of Wood

3rd International Engineering Research Symposium INERS’19, Düzce, Turkey, 5 - 07 September 2019, pp.266-274, (Full Text)

8. Prioritization of Factors Influencing Surface Roughness: An Application for the Forest Industry

", 3rd International Engineering Research Symposium INERS’19, Düzce, Turkey, 5 - 07 September 2019, pp.259-265, (Full Text) Sustainable Development

9. Estimation of The Effects of Veneer Drying Temperatures on Thermal Conductivity of Plywood with Artificial Neural Network Modelling

ÖZŞAHİN Ş., AYDIN İ., DEMİR A.

Karadeniz 2. Uluslararası Uygulamalı Bilimler Kongresi, Rize, Turkey, 23 - 25 August 2019, pp.240-250, (Full Text)

10. Modeling the effects of process parameters on the surface roughness of wood using artificial neural networks

International Forest Products Congress - ORENKO 2018, Trabzon, Turkey, 26 - 29 September 2018, pp.708-720, (Full Text)

11. Employing a multi-criteria decision making method to evaluate engineered wood products and timber

International Forest Products Congress - ORENKO 2018, Trabzon, Turkey, 26 - 29 September 2018, pp.743-755, (Full Text)

12. Optimization of Veneer Drying Temperature for the Best Mechanical Properties of Plywood via Artificial Neural Network

ÖZŞAHİN Ş., DEMİR A., AYDIN İ.

THE INTERNATIONAL FOREST PRODUCTS CONGRESS, Trabzon, Turkey, 26 - 29 September 2018, vol.1, pp.697-707, (Full Text)

13. Modeling the Effects of Process Parameters on the Surface Roughness of Wood Using Artificial Neural Networks

The International Forest Products Congress ORENKO 2018, Trabzon, Turkey, 26 - 29 September 2018, pp.708-720, (Full Text)

14. Employing a Multi-Criteria Decision Making Method to Evaluate Engineered Wood Products and Timber

The International Forest Products Congress ORENKO 2018, Trabzon, Turkey, 26 - 29 September 2018, pp.743-755, (Full Text)

15. Orman Ürünleri Sanayinde Tedarik Zinciri Yönetiminin Benimsenmesi ve Müşteri İlişkileri

YILDIRIM İ., AKYÜZ K. C., AYDIN A., ÖZŞAHİN Ş., AKYÜZ İ.

International Symposium of Applied Business Management and Economics Researches ISABMER, Bayburt, Turkey, 3 - 05 May 2018, pp.99-100, (Summary Text) Sustainable Development

16. Orman Ürünleri Sanayi Çalışanlarında Motivasyon ve İş Yaşam Kalitesinin Belirlenmesi

YILDIRIM İ., HAN M., AKYÜZ K. C., AYDIN A., ÖZŞAHİN Ş.

International Symposium of Applied Business Management and Economics Researches ISABMER, Bayburt, Turkey, 3 - 05 May 2018, pp.101-102, (Summary Text) Sustainable Development

17. Application of Artificial Neural Network for Prediction of Coating Thickness in Fe-Al Coatings

VAROL T., ÇANAKÇI A., ÖZŞAHİN Ş., ERDEMİR F., ÖZKAYA S.

3rd International Porous and Powder Materials Symposium and Exhibition PPM 2017, İzmir, Turkey, 12 - 15 October 2017, pp.210-214, (Full Text)

18. Prediction of the Effect of Matrix Size and Milling Time on the Particle Size of Flake Al-Cu-Mg Alloy Particles Using Neural Networks

VAROL T., ÖZŞAHİN Ş.

3rd International Porous and Powder Materials Symposium and Exhibition PPM 2017, İzmir, Turkey, 12 - 15 September 2017, pp.237-241, (Full Text)

19. Data Envelopment Analysis for Effectiveness of Health Care Systems of Provinces: A Case Study in Turkey

MURAT M., AYYILDIZ E., ÖZÇELİK G., ÖZŞAHİN Ş.

3rd International Researchers, Statisticians and Young Statisticians Congress, 24 - 26 May 2017, (Summary Text)

20. An Application on the Similarity of Turkey to the EU in terms of the Quality of Life Using Clustering Analysis

AYYILDIZ E., MURAT M., ÖZŞAHİN Ş., ÖZÇELİK G.

3rd International Researchers, Statisticians and Young Statisticians Congress, 24 - 26 May 2017, (Summary Text)

21. Forecasting the Amount of Sulfur Dioxide (SO2) and Particulate Matter (PM10) in the Air Using Grey Prediction and ARIMA Methods

ALÇI A., MURAT M., ÖZŞAHİN Ş.

3rd International Researchers, Statisticians and Young Statisticians Congress, Konya, Turkey, 24 - 26 May 2017, pp.274, (Summary Text)

22. Location Selection for Solar Energy Fields Using Multi Criteria Decision Making Methods: Case of Turkey

MERAL G., SEVİNDİ E., ÇAKIR H., KASTAN M., ALÇI A., ÖZŞAHİN Ş.

3rd International Researchers, Statisticians and Young Statisticians Congress, Konya, Turkey, 24 - 26 May 2017, pp.210, (Summary Text)

23. Karar Verme Sürecinde Simülasyon Tekniğinin Kullanımı ve Özel Bir Çay İşleme Tesisinde Uygulama

KARADAĞ T., ÇAVDAR E., MEYDANKAŞ M., BAHADIR D. N., SANDIKÇI C., AKŞEHİR M. Y., et al.

Yöneylem Araştırması Endüstri Mühendisliği 36. Ulusal Kongresi, İzmir, Turkey, 13 - 15 July 2016, pp.54, (Summary Text)

24. Kuzeydoğu Anadolu Bölgesinde Kurulacak Hava Ayrıştırma Tesisi için AHP ve PROMETHEE Teknikleri ile Yer Seçimi

YILMAZ H., SAĞLAM C., SARIOĞLU A., ALÇI A., ÖZŞAHİN Ş.

17th International Symposium on Econometrics, Operations Research and Statistics, Sivas, Turkey, 2 - 04 June 2016, pp.587-588, (Summary Text)

25. Application of Back-Propagation Neural Network Technique to Prediction of the Abrasive Wear Behavior of Al2014/B4C Composite

TURKEYTRIB'15, 1rst International Conference on Tribology,, İstanbul, Turkey, 7 - 09 October 2015, pp.1, (Full Text)

26. Prediction Model for Densification Behavior of Powder Metallurgy Al-Cu-Mg/B4C Composites

VAROL T., ÇANAKÇI A., ÖZŞAHİN Ş., İPEK H.

International Porous and Powder Materials Symposium and Exhibition PPM 2015, İzmir, Turkey, 15 - 18 September 2015, pp.384-389, (Full Text)

27. The Prediction of Properties of B4C Particle Reinforced Metal Matrix Composites Using Artificial Neural Networks

17th International Metallurgy and Materials Congress, İstanbul, Turkey, 11 - 13 September 2014, pp.451-458, (Full Text)

28. Artificial Neural Network Approach for the Prediction of Coating Thickness in Fe-Al Coatings Fabricated by Mechanical Milling

ÇANAKÇI A., ERDEMİR F., VAROL T., ÖZŞAHİN Ş., ÖZKAYA S.

17th International Metallurgy and Materials Congress, İstanbul, Turkey, 11 - 13 September 2014, pp.995-1003, (Full Text)

29. Analysis of the prediction of compressibility of powder metallurgy Al2024-B4C composites using artificial neural networks

7th International Powder Metallurgy Conference and Exhibition, Ankara, Turkey, 24 - 28 June 2014, pp.24-25, (Full Text)

30. Mekanik öğütme işlemi üzerine yeni bir işlem kontrol katkısı tekniği etkisinin bir yapay sinir ağı modeli kullnılarak analizi

II. Ulusal Ege Kompozit Malzemeler Sempozyumu, İzmir, Turkey, 7 - 09 November 2013, pp.221-228, (Full Text)

31. Artificial Neural Network Approach to Predict of Effect of Process Control Agent on the Microhardness of Al-Al2O3 Composite Powders Produced by Mechanical Alloying

The 1st International Porous and Powder Materials Symposium and Exhibition PPM 2013, İzmir, Turkey, 3 - 06 September 2013, pp.722-726, (Full Text)

32. Artificial Neural Network Approach to Predict of Effect of Process Control Agent on Particle Size of Al-%10 Al2O3 Composite Powders Fabricated by Mechanical Alloying