J. Díaz

2007–2010

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom J. Díaz trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Perumal Nithiarasu
2. Simon S. Haykin
3. Jiju Antony

Papers from J. Díaz's perspective

Ordered by how strongly the researchers J. Díaz trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Finite Element Method
2. Data Mining: Concepts and Techniques
3. Pattern Recognition and Machine Learning
4. Design of experiments for engineers and scientists
5. Software for data analysis
6. Handbook of Thermal Analysis of Construction Materials
7. Neural Networks and Learning Machines
8. Design and Analysis of Experiments: Introduction to Experimental Design
9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
10. Pattern classification and scene analysis

Their papers

• The use of design of experiments to improve a neural network model in order to predict the thickness of the chromium layer in a hard chromium plating process (2010) — 67 citations
• Nonlinear analysis of residual stresses in a rail manufacturing process by FEM (2009) — 50 citations
• Analysis and optimization of the heat-insulating light concrete hollow brick walls design by the finite element method (2007) — 138 citations