G. Nakhla
Water Science and Technology · 2009–2017
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 19 citations into it
- Biomedical Engineering — 14 citations into it
- Pollution — 6 citations into it
Whom G. Nakhla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from G. Nakhla's perspective
Ordered by how strongly the researchers G. Nakhla trusts endorse each paper. Same corpus, a different order for every researcher.
- Biohydrogen production as a function of pH and substrate concentration. (Environmental Science and Technology)
- Importance of input data normalization for the application of neural networks to complex industrial problems
- Imperative role of neural networks coupled genetic algorithm on optimization of biohydrogen yield
- Kinetic study of biological hydrogen production by anaerobic fermentation
- An introduction to computing with neural nets
- Optimization of different welding processes using statistical and numerical approaches - A reference guide (Advances in Engineering Software)
- Use of sugarcane bagasse as biomaterial for cell immobilization for xylitol production
- Hemicellulose bioconversion (Journal of Industrial Microbiology & Biotechnology)
- Production of xylanase by Trichoderma longibrachiatum on a mixture of wheat bran and wheat straw: Optimization of culture condition by Taguchi method
- Design of Experiments Using the Taguchi Approach: 16 Steps to Product and Process Improvement (Technometrics)
Their papers
- Preparation, characterization and performance of Al2O3/PES membrane for wastewater filtration (2009) — 285 citations
- Performance of a novel ZrO2/PES membrane for wastewater filtration (2010) — 180 citations
- Fluidized-Bed Bioreactor Applications for Biological Wastewater Treatment: A Review of Research and Developments (2017) — 121 citations
- Application of artificial neural networks for modeling of biohydrogen production (2013) — 104 citations