Afshin Tatar

Numerical Heat Transfer, Part A Applications · 2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Afshin Tatar trusts overall

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

1. George V. Cybenko
2. M. Hemmat Esfe

Papers from Afshin Tatar's perspective

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

1. Multilayer feedforward networks are universal approximators
2. Approximation by superpositions of a sigmoidal function
3. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
4. Heat transfer characteristics in double tube helical heat exchangers using nanofluids
5. An empirical study on heat transfer and pressure drop characteristics of CuO–base oil nanofluid flow in a horizontal helically coiled tube under constant heat flux
6. A Review on the Potential Applications of Curved Geometries in Process Industry
7. Numerical investigation of heat exchanger effectiveness in a double pipe heat exchanger filled with nanofluid: A sensitivity analysis by response surface methodology
8. New temperature dependent thermal conductivity data for water-based nanofluids
9. Experimental studies on the convective heat transfer performance and thermophysical properties of MgO–water nanofluid under turbulent flow
10. Study of thermal conductivity of nanofluids for the application of heat transfer fluids

Their papers

• Development of multilayer perceptron artificial neural network (MLP-ANN) and least square support vector machine (LSSVM) models to predict Nusselt number and pressure drop of TiO2/water nanofluid flows through non-straight pathways (2018) — 71 citations
• A comparison of performance of several artificial intelligence methods for predicting the dynamic viscosity of TiO2/SAE 50 nano-lubricant (2018) — 94 citations