C. Muraleedharan

Mechanical Engineering · 2005–2015

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 20 citations into it
• Artificial Intelligence — 11 citations into it
• Building and Construction — 9 citations into it
• Renewable Energy, Sustainability and the Environment — 8 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom C. Muraleedharan trusts overall

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

1. Soteris A. Kalogirou
2. Donald F. Specht
3. Adel Mellit
4. Hikmet Esen
5. G. Huminic
6. M. Mehrabi

Who trusts C. Muraleedharan overall

1. V. E. Geo
2. G. Nagarajan
3. B. Nagalingam

Papers from C. Muraleedharan's perspective

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

1. Heat transfer analysis of phase change process in a finned-tube thermal energy storage system using artificial neural network
2. Applications of artificial neural-networks for energy systems
3. Application of nanofluids in heat exchangers: A review
4. Three learning phases for radial-basis-function networks
5. Correlations of two-phase frictional pressure drop and void fraction in mini-channel
6. Modeling of heat transfer and fluid flow characteristics of helicoidal double-pipe heat exchangers using Adaptive Neuro-Fuzzy Inference System (ANFIS)
7. An experimental study on the design parameters of a counterflow vortex tube
8. Comparison of different controllers for variable speed compressor and electronic expansion valve
9. Artificial intelligence for the modeling and control of combustion processes: a review
10. A general regression neural network

Their papers

• Characterization and effect of using rubber seed oil as fuel in the compression ignition engines (2005) — 363 citations
• Applications of artificial neural networks for thermal analysis of heat exchangers – A review (2015) — 298 citations
• Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review (2012) — 393 citations
• Performance prediction of a direct expansion solar assisted heat pump using artificial neural networks (2009) — 107 citations