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The optimization of nickel electroplating process parameters with artificial intelligence methods

Journal of applied electrochemistry, 2023-10, Vol.53 (10), p.2077-2089

2023

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Innovation in the Breeding of Common Bean Through a Combined Approach of in vitro Regeneration and Machine Learning Algorithms

Frontiers in genetics, 2022-08, Vol.13, p.897696-897696

2022

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Effect of Artificial Aging Process on Aluminum Foam Made of Etial 160

Transactions of the Indian Institute of Metals, 2020-11, Vol.73 (11), p.2739-2745

2020

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Fabrication of CZTS Films through a Combined Electrodeposition and Solution Process: An Experimental and First‐Principles Study

ChemElectroChem, 2023-07, Vol.10 (14), p.n/a

2023

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Machine learning-based optimization for D-shaped PCF SPR refractive index sensor

Optics communications, 2024-11, p.131304, Article 131304

2024

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Artificial neural network based optimization for Ag grated D-shaped optical fiber surface plasmon resonance refractive index sensor

Optics communications, 2023-05, Vol.534, p.129332, Article 129332

2023

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Effects of functional groups of triple bonds containing molecules on nickel electroplating

Turkish journal of chemistry, 2014-01, Vol.38, p.701-715

2014

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STATISTICAL APPROACH TO OPTIMIZING A Zn – Ni BATH CONTAINING ED AND TEA

Surface review and letters, 2015-02, Vol.22 (1), p.1550015

KATIRCI, RAMAZAN

2015

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Makine Öğrenmesi Kullanarak Krom Kaplama Örtme Gücünün Tahmin Edilmesi

Firat University Journal of Engineering Science, 2021-09, Vol.33 (2), p.709-719

2021

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The analysis of interactions between DNA and small molecules: proposals for binding mechanisms based on computational data

Monatshefte für Chemie, 2022, Vol.153 (1), p.113-124

2022

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THE EFFECT OF ANNEALING PRESSURE AND TIME ON THE CRYSTALLINITY OF CZTSe

Surface review and letters, 2019-02, Vol.26 (2), p.1850151

2019

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Kinetic Study of the Free Radical Copolymerization of Methyl Methacrylate with 2-Perfluorooctyl Ethyl Methacrylate by Quantum Computational Approach

Journal of the Turkish Chemical Society, Section A, Chemistry, 2021-11, Vol.8 (4), p.1263-1274

2021

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Unsymmetrical phthalocyanines containing azo moiety; Synthesis and photophysical properties

Journal of porphyrins and phthalocyanines, 2019-12, Vol.23 (11n12), p.1563-1569

2019

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Application of artificial neural network and machine learning algorithms for modeling the in vitro regeneration of chickpea (Cicer arietinum L.)

Plant cell, tissue and organ culture, 2022-07, Vol.150 (1), p.141-152

2022

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The Optimization of The Zinc Electroplating Bath Using Machine Learning And Genetic Algorithms (NSGA-II)

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 2022-12, Vol.11 (4), p.1050-1058

2022

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Prediction of fracture behavior of Al2O3-Cr2O3 ceramics in different Cr2O3 ratios under flexure load using machine learning methods

Computational materials science, 2023-09, Vol.228, p.112362, Article 112362

2023

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Comparing quantum machine learning and classical machine learning for in vitro regeneration of cowpea (Vigna unguiculata)

Plant cell, tissue and organ culture, 2024-11, Vol.159 (2), p.32, Article 32

2024

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Experimental and In Silico studies on optical properties of new thiadiazole tetrasubstituted metal-free and zinc phthalocyanine compounds

Optical materials, 2021-12, Vol.122, p.111808, Article 111808

2021

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Cr(VI) Elektrokaplama Banyolarının Cr(III) Banyolarına Dönüştürülmesinde Etkin Faktörlerin Belirlenmesi

İmalat Teknolojileri ve Uygulamaları, 2021-08, Vol.2 (2), p.30-40

2021

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Enhancing Question Answering Systems Through Optimal Hyperparameter Tuning in GRU

2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP), 2024, p.1-7

2024

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Spectrophotometric determination and computational study of fluoride in hexavalent chromium electroplating bath

Journal of fluorine chemistry, 2020-03, Vol.231, p.1-7, Article 109462

2020

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Automated evaluation of Cr-III coated parts using Mask RCNN and ML methods

Surface & coatings technology, 2021-09, Vol.422, p.127571, Article 127571

2021

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Machine learning (ML) algorithms and artificial neural network for optimizing in vitro germination and growth indices of industrial hemp (Cannabis sativa L.)

Industrial crops and products, 2022-07, Vol.181, p.114801, Article 114801

2022

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A comparative and practical approach using quantum machine learning (QML) and support vector classifier (SVC) for Light emitting diodes mediated in vitro micropropagation of black mulberry (Morus nigra L.)

Industrial crops and products, 2024-07, Vol.213, p.118397, Article 118397

2024

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Optimisation of the CZTSe thin film composition obtained by a sequential electrodeposition process

Surface engineering, 2019-10, Vol.35 (10), p.854-860

2019

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The optimization of nickel electroplating process parameters with artificial intelligence methods

Innovation in the Breeding of Common Bean Through a Combined Approach of in vitro Regeneration and Machine Learning Algorithms

Effect of Artificial Aging Process on Aluminum Foam Made of Etial 160

Fabrication of CZTS Films through a Combined Electrodeposition and Solution Process: An Experimental and First‐Principles Study

Machine learning-based optimization for D-shaped PCF SPR refractive index sensor

Artificial neural network based optimization for Ag grated D-shaped optical fiber surface plasmon resonance refractive index sensor

Effects of functional groups of triple bonds containing molecules on nickel electroplating

STATISTICAL APPROACH TO OPTIMIZING A Zn – Ni BATH CONTAINING ED AND TEA

Makine Öğrenmesi Kullanarak Krom Kaplama Örtme Gücünün Tahmin Edilmesi

The analysis of interactions between DNA and small molecules: proposals for binding mechanisms based on computational data

THE EFFECT OF ANNEALING PRESSURE AND TIME ON THE CRYSTALLINITY OF CZTSe

Kinetic Study of the Free Radical Copolymerization of Methyl Methacrylate with 2-Perfluorooctyl Ethyl Methacrylate by Quantum Computational Approach

Unsymmetrical phthalocyanines containing azo moiety; Synthesis and photophysical properties

Application of artificial neural network and machine learning algorithms for modeling the in vitro regeneration of chickpea (Cicer arietinum L.)

The Optimization of The Zinc Electroplating Bath Using Machine Learning And Genetic Algorithms (NSGA-II)

Prediction of fracture behavior of Al2O3-Cr2O3 ceramics in different Cr2O3 ratios under flexure load using machine learning methods

Comparing quantum machine learning and classical machine learning for in vitro regeneration of cowpea (Vigna unguiculata)

Experimental and In Silico studies on optical properties of new thiadiazole tetrasubstituted metal-free and zinc phthalocyanine compounds

Cr(VI) Elektrokaplama Banyolarının Cr(III) Banyolarına Dönüştürülmesinde Etkin Faktörlerin Belirlenmesi

Enhancing Question Answering Systems Through Optimal Hyperparameter Tuning in GRU

Spectrophotometric determination and computational study of fluoride in hexavalent chromium electroplating bath

Automated evaluation of Cr-III coated parts using Mask RCNN and ML methods

Machine learning (ML) algorithms and artificial neural network for optimizing in vitro germination and growth indices of industrial hemp (Cannabis sativa L.)

A comparative and practical approach using quantum machine learning (QML) and support vector classifier (SVC) for Light emitting diodes mediated in vitro micropropagation of black mulberry (Morus nigra L.)

Optimisation of the CZTSe thin film composition obtained by a sequential electrodeposition process

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