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Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives
Research article (Scientific Reports, 2023) · cited 22× · AI/ML
Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives
Summary
Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives is a scholarly article[1].
Key Facts
Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives. Retrieved May 24, 2026, from https://4ort.xyz/entity/modelling-of-compression-ignition-engine-by-soft-computing-techniques-anfis-nsga-ii-and-rsm-to-enhance-the-performance-c
MLA“Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modelling-of-compression-ignition-engine-by-soft-computing-techniques-anfis-nsga-ii-and-rsm-to-enhance-the-performance-c.
BibTeX@misc{4ortxyz_modelling-of-compression-ignition-engine-by-soft-computing-techniques-anfis-nsga-ii-and-rsm-to-enhance-the-performance-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives}}, year = {2026}, url = {https://4ort.xyz/entity/modelling-of-compression-ignition-engine-by-soft-computing-techniques-anfis-nsga-ii-and-rsm-to-enhance-the-performance-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives — https://4ort.xyz/entity/modelling-of-compression-ignition-engine-by-soft-computing-techniques-anfis-nsga-ii-and-rsm-to-enhance-the-performance-c (retrieved 2026-05-24)
