Ș. Karabulut
Mechanical Engineering · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Mechanical Engineering — 17 citations into it; #7,148 of 8,300 by trust here, #6,822 by citations
- Electrical and Electronic Engineering — 10 citations into it; #14,135 of 16,539 by trust here, #14,827 by citations
- Biomedical Engineering — 7 citations into it
Whom Ș. Karabulut trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ș. Karabulut overall
Papers from Ș. Karabulut's perspective
Ordered by how strongly the researchers Ș. Karabulut trusts endorse each paper. Same corpus, a different order for every researcher.
- Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments
- Optimization of flank wear using Zirconia Toughened Alumina (ZTA) cutting tool: Taguchi method and Regression analysis
- Boron Carbide: Structure, Properties, and Stability under Stress
- Optimization of machining parameters of Al/SiC-MMC with ANOVA and ANN analysis
- Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts
- Development of Empirical Models for Surface Roughness Prediction in Finish Turning
- A genetic algorithmic approach for optimization of surface roughness prediction model
- Optimal machining parameters for achieving the desired surface roughness in fine turning of cold pre-formed steel workpieces
- An Introduction to Genetic Algorithms.
- FUNDAMENTALS OF NEURAL NETWORKS