Machine Learning and Hybrid Approaches in the Energy Valorization of Contaminated Sludge: Global Trends and Perspectives

Segundo Jonathan Rojas-Flores; Rafael Liza; Renny Nazario-Naveda; Félix Díaz; Daniel Delfin-Narciso; Moisés Gallozzo Cardenas; Anibal Alviz-Meza

doi:10.3390/pr14020363

Machine Learning and Hybrid Approaches in the Energy Valorization of Contaminated Sludge: Global Trends and Perspectives

Segundo Jonathan Rojas-Flores
, Rafael Liza
, Renny Nazario-Naveda
, Félix Díaz
, Daniel Delfin-Narciso
, Moisés Gallozzo Cardenas
, Anibal Alviz-Meza

Research output: Contribution to journal › Review article › peer-review

Original language	English
Article number	363
Journal	Processes
Volume	14
Issue number	2
DOIs	https://doi.org/10.3390/pr14020363
State	Published - 1 Jan 2026
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 12 Responsible Consumption and Production

Access to Document

10.3390/pr14020363

Cite this

@article{62e2b09f3f204897bc7b2bcfa9705277,

title = "Machine Learning and Hybrid Approaches in the Energy Valorization of Contaminated Sludge: Global Trends and Perspectives",

keywords = "anaerobic digestion, bibliometric analysis, contaminated sludge, energy valorization, machine learning",

author = "Rojas-Flores, \{Segundo Jonathan\} and Rafael Liza and Renny Nazario-Naveda and F{\'e}lix D{\'i}az and Daniel Delfin-Narciso and \{Gallozzo Cardenas\}, Mois{\'e}s and Anibal Alviz-Meza",

note = "Publisher Copyright: {\textcopyright} 2026 by the authors.",

year = "2026",

month = jan,

day = "1",

doi = "10.3390/pr14020363",

language = "English",

volume = "14",

journal = "Processes",

issn = "2227-9717",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "2",

}

TY - JOUR

T1 - Machine Learning and Hybrid Approaches in the Energy Valorization of Contaminated Sludge

T2 - Global Trends and Perspectives

AU - Rojas-Flores, Segundo Jonathan

AU - Liza, Rafael

AU - Nazario-Naveda, Renny

AU - Díaz, Félix

AU - Delfin-Narciso, Daniel

AU - Gallozzo Cardenas, Moisés

AU - Alviz-Meza, Anibal

PY - 2026/1/1

Y1 - 2026/1/1

KW - anaerobic digestion

KW - bibliometric analysis

KW - contaminated sludge

KW - energy valorization

KW - machine learning

UR - https://www.scopus.com/pages/publications/105028642797

U2 - 10.3390/pr14020363

DO - 10.3390/pr14020363

M3 - Review article

AN - SCOPUS:105028642797

SN - 2227-9717

VL - 14

JO - Processes

JF - Processes

IS - 2

M1 - 363

ER -

Machine Learning and Hybrid Approaches in the Energy Valorization of Contaminated Sludge: Global Trends and Perspectives

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this