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| 1 | Prediction of wear loss quantities of ferro-alloy coating using different machine learning algorithms显示文摘In this study,experimental wear losses under different loads and sliding distances of AISI 1020 steel surfaces coated with(wt.%)50FeCrC‐20FeW‐30FeB and 70FeCrC‐30FeB powder mixtures by plasma transfer arc welding were determined.The dataset comprised 99 different wear amount measurements obtained experimentally in the laboratory.The linear regression(LR),support vector machine(SVM),and Gaussian process regression(GPR)algorithms are used for predicting wear quantities.A success rate of 0.93 was obtained from the LR algorithm and 0.96 from the SVM and GPR algorithms. | Osman ALTAY Turan GURGENC Mustafa ULAS Cihan OZEL | 2020 | Friction2020，8，1： | 2 |
| 2 | A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic,kernel-based,and weighted extreme learning machine显示文摘Wear tests are essential in the design of parts intended to work in environments that subject a part to high wear.Wear tests involve high cost and lengthy experiments,and require special test equipment.The use of machine learning algorithms for wear loss quantity predictions is a potentially effective means to eliminate the disadvantages of experimental methods such as cost,labor,and time.In this study,wear loss data of AISI 1020 steel coated by using a plasma transfer arc welding(PTAW)method with FeCrC,FeW,and FeB powders mixed in different ratios were obtained experimentally by some of the researchers in our group.The mechanical properties of the coating layers were detected by microhardness measurements and dry sliding wear tests.The wear tests were performed at three different loads(19.62,39.24,and 58.86 N)over a sliding distance of 900 m.In this study,models have been developed by using four different machine learning algorithms(an artificial neural network(ANN),extreme learning machine(ELM),kernel-based extreme learning machine(KELM),and weighted extreme learning machine(WELM))on the data set obtained from the wear test experiments.The R2 value was calculated as 0.9729 in the model designed with WELM,which obtained the best performance among the models evaluated. | Mustafa ULAS Osman ALTAY Turan GURGENC Cihan OZEL | 2020 | Friction2020，8，6： | 2 |
| 3 | Acupuncture Enhances Chances of Pregnancy in Unexplained Infertile Patients Who Undergo A Blastocyst Transfer in A Fresh-Cycle显示文摘Objective: To analyze the effects of acupuncture on in vitro fertilization patients with unexplained infertility.Methods: We retrospectively analyzed the charts of a total of 302 cycles performed in 273 patients attending Assisted Reproductive Technology(ART) Centre from August 2013 to August 2016.During the study period,embryo transfer with acupuncture(Acupuncture group,46 cases) and without acupuncture(Control group,42 cases) were applied.Prior to embryo transfer,the following points were used in the acupuncture group: Neiguan(CX 6),Diji(SP 8),Taichong(Liv 3),Baihui(Gv 20),and Guilai(S 29).These sessions were carried out two times before and after embryo transfer in a single day.In addition,auricular acupuncture was also performed at ear points,including ear point 55(Shenmen),ear point 58(Zhigong),ear point 22(Neifenmi)and ear point 34(Naodian).The biochemical pregnancy rate and clinical pregnancy rate after transplantation were compared between two groups.Results: The clinical pregnancy rate in the acupuncture group was higher than that in the control group [60.9%(28/46) vs.33.3%(14/42),respectively,P<0.05].Likewise,the live birth rate in the acupuncture group was also higher than that in the control group [71.7%(33/46) vs.31.0%(12/42),P<0.01).Conclusion: Administration of acupuncture on the day of embryo transfer dramatically improved fertility results in women who underwent in vitro fertilization/intra-cytoplasm sperm injection for reproduction. | Hakan ?oksüer Mert Ula Barut Murat BozkurT Elif Agacayak Sibel Sak Mustafa Demir Eray Cal?skan | 2019 | Chinese Journal of Integrative Medicine2019，25，4： | 2 |
| 4 | Optimization of micro-EDM drilling of inconel 718 superalloy显示文摘 | Mustafa Ay Ula? ?ayda? Ahmet Has?al?k | 2013 | The International Journal of Advanced Manufacturing Technology2013，，5： | 1 |
| 5 | Optimization of micro-EDM drilling of Inconel 718 superalloy显示文摘 | Mustafa A Ula? ? Ahmet H | 2013 | The International Journal of Advanced Manufacturing Technology2013，66，5678： | 1 |
| 6 | Maternal and fetal adropin levels in gestational diabetes mellitus显示文摘 | Ebru Celik Ercan Yilmaz Onder Celik Mustafa Ulas Ilgin Turkcuoglu Abdullah Karaer Yavuz Simsek Yagmur Minareci Suleyman Aydin | 2013 | Journal of Perinatal Medicine2013，，4： | 1 |
| 7 | Regulation of renal organic anion and cation transporters by thymoquinone in cisplatin induced kidney injury显示文摘 | Ramazan Ulu Ayhan Dogukan Mehmet Tuzcu Hasan Gencoglu Mustafa Ulas Necip ?lhan Irfana Muqbil Ramzi M. Mohammad Omer Kucuk Kazim Sahin | 2012 | Food and Chemical Toxicology2012，，5： | 1 |
| 8 | Evaluation of Factor V G1691A, prothrombin G20210A, Factor XIII V34L, MTHFR A1298C, MTHFR C677T and PAI-1 4G/5G genotype frequencies of patients subjected to cardiovascular disease (CVD) panel in south-east region of Turkey显示文摘 | Serdar Oztuzcu Sercan Ergun Mustafa Ula?l? Gülper Nacarkahya Yusuf Ziya I?ci Mehri I?ci Recep Bayraktar Ali Tamer Ecir Ali ?akmak Ahmet Arslan | 2014 | Molecular Biology Reports2014，，6： | 1 |
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