Modelling and optimization of psychoactive pharmaceutical caffeine removal by electrochemical oxidation process: A comparative study between response surface methodology (RSM) and adaptive neuro fuzzy inference system (ANFIS)

Research article (Separation and Purification Technology, 2022) · cited 30× · AI/ML
Press Enter · cited answer in seconds

Modelling and optimization of psychoactive pharmaceutical caffeine removal by electrochemical oxidation process: A comparative study between response surface methodology (RSM) and adaptive neuro fuzzy inference system (ANFIS)

Summary

Modelling and optimization of psychoactive pharmaceutical caffeine removal by electrochemical oxidation process: A comparative study between response surface methodology (RSM) and adaptive neuro fuzzy inference system (ANFIS) is a scholarly article[1].

Key Facts

  • Modelling and optimization of psychoactive pharmaceutical caffeine removal by electrochemical oxidation process: A comparative study between response surface methodology (RSM) and adaptive neuro fuzzy inference system (ANFIS)'s instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Modelling and optimization of psychoactive pharmaceutical caffeine removal by electrochemical oxidation process: A comparative study between response surface methodology (RSM) and adaptive neuro fuzzy inference system (ANFIS). Retrieved May 24, 2026, from https://4ort.xyz/entity/modelling-and-optimization-of-psychoactive-pharmaceutical-caffeine-removal-by-electrochemical-oxidation-process-a-compar
MLA “Modelling and optimization of psychoactive pharmaceutical caffeine removal by electrochemical oxidation process: A comparative study between response surface methodology (RSM) and adaptive neuro fuzzy inference system (ANFIS).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modelling-and-optimization-of-psychoactive-pharmaceutical-caffeine-removal-by-electrochemical-oxidation-process-a-compar.
BibTeX @misc{4ortxyz_modelling-and-optimization-of-psychoactive-pharmaceutical-caffeine-removal-by-electrochemical-oxidation-process-a-compar_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modelling and optimization of psychoactive pharmaceutical caffeine removal by electrochemical oxidation process: A comparative study between response surface methodology (RSM) and adaptive neuro fuzzy inference system (ANFIS)}}, year = {2026}, url = {https://4ort.xyz/entity/modelling-and-optimization-of-psychoactive-pharmaceutical-caffeine-removal-by-electrochemical-oxidation-process-a-compar}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modelling and optimization of psychoactive pharmaceutical caffeine removal by electrochemical oxidation process: A comparative study between response surface methodology (RSM) and adaptive neuro fuzzy inference system (ANFIS) — https://4ort.xyz/entity/modelling-and-optimization-of-psychoactive-pharmaceutical-caffeine-removal-by-electrochemical-oxidation-process-a-compar (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/modelling-and-optimization-of-psychoactive-pharmaceutical-caffeine-removal-by-electrochemical-oxidation-process-a-compar · Last refreshed: