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A Hybrid Metaheuristic–Deterministic Optimization Strategy for Waste Heat Recovery in Industrial Plants

Industrial & engineering chemistry research, 2021-03, Vol.60 (9), p.3711-3722

2021

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Process Systems Engineering Tools for Optimization of Trained Machine Learning Models: Comparative and Perspective

Industrial & engineering chemistry research, 2024-08, Vol.63 (32), p.13966-13979

2024

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Development and Evaluation of Deep Learning Models for Forecasting Gas Production and Flowback Water in Shale Gas Reservoirs

Industrial & engineering chemistry research, 2023-04, Vol.62 (16), p.6434-6447

2023

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Hybrid Machine Learning-Mathematical Programming Approach for Optimizing Gas Production and Water Management in Shale Gas Fields

ACS sustainable chemistry & engineering, 2023-04, Vol.11 (15), p.6043-6056

2023

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Incorporating deep learning predictions to assess the water-energy-food nexus security

Environmental science & policy, 2023-06, Vol.144, p.99-109

2023

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Incorporating machine learning for thermal engines modeling in industrial waste heat recovery

Chemical engineering research & design, 2022-05, Vol.181, p.239-252

2022

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Data-Driven Machine Learning Approach for Modeling the Production and Predicting the Characteristics of Aligned Electrospun Nanofibers

Industrial & engineering chemistry research, 2024-06, Vol.63 (22), p.9904-9913

2024

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Reusing Industrial Gaseous Emissions for Syngas Production

Process integration and optimization for sustainability, 2022-12, Vol.6 (4), p.1133-1142

2022

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Multicommutated flow-through optosensors implemented with photochemically induced fluorescence: Determination of flufenamic acid

Analytical biochemistry, 2007-02, Vol.361 (2), p.280-286

2007

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Determination of azoxystrobin residues in grapes, musts and wines with a multicommuted flow-through optosensor implemented with photochemically induced fluorescence

Analytica chimica acta, 2007-02, Vol.585 (1), p.185-191

2007

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Simultaneous Flow-Injection Solid-Phase Fluorometric Determination of Thiabendazole and Metsulfuron Methyl Using Photochemical Derivatization

Analytical Sciences, 2009/05/10, Vol.25(5), pp.681-686

2009

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Flow-through optosensor combined with photochemically induced fluorescence for simultaneous determination of binary mixtures of sulfonamides in pharmaceuticals, milk and urine

Analytica chimica acta, 2007-09, Vol.600 (1), p.164-171

2007

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Implementation of flow-through solid phase spectroscopic transduction with photochemically induced fluorescence: determination of thiamine

Analytica chimica acta, 2005-04, Vol.535 (1), p.161-168

2005

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Solar photovoltaic panel production in Mexico: A novel machine learning approach

Environmental research, 2024-04, Vol.246, p.118047-118047, Article 118047

2024

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Optimal expansion for a clean power sector transition in Mexico based on predicted electricity demand using deep learning scheme

Applied energy, 2023-10, Vol.348, p.121597, Article 121597

2023

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Determination of sub-ppb reserpine by an optosensing device based on photochemically induced fluorescence

Analytical and bioanalytical chemistry, 2007-08, Vol.388 (8), p.1771-1777

2007

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Optimal Profit Distribution in Interplant Waste Heat Integration through a Hybrid Approach

Energy (Oxford), 2022-08, Vol.253, p.124001, Article 124001

2022

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A machine learning approach for optimizing the water-energy-food-ecosystem nexus: a resilience perspective for sustainability

Environment, development and sustainability, 2023-12

2023

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Interferencia por ácido 2,4-diamino-N10-metilpteroico en la determinación de metotrexato tras la administración de glucarpidasa

Revista del laboratorio clínico, 2019-07, Vol.12 (3), p.128-132

2019

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Edward Weston & Harry Callahan

Fotocinema, 2013-09 (7)

Reseña de Javier Aranda López, Laura González Flores (prólogo).

2013

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Flow-through optosensing device implemented with photochemically-induced fluorescence for the rapid and simple screening of metsulfuron methyl in environmental waters

Journal of environmental monitoring, 2009-05, Vol.11 (5), p.1080-1085

2009

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Enhancing Solar Photovoltaic Panel Production: A Novel Machine Learning Approach for Optimizing Mexico’s Potential

Computer Aided Chemical Engineering, 2024, Vol.53, p.13-18

2024

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Machine Learning Models Development for the Optimal Production of Aligned Nanofibers

Computer Aided Chemical Engineering, 2024, Vol.53, p.2863-2868

2024

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Legítima defensa: ¿un derecho o un riesgo? La Ley N° 32026 en debate

DERECHO, 2024-06, Vol.14 (14), p.4-23

2024

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Laparoscopic approach in gastrointestinal emergencies

World journal of gastroenterology : WJG, 2016-03, Vol.22 (9), p.2701-2710

2016

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A Hybrid Metaheuristic–Deterministic Optimization Strategy for Waste Heat Recovery in Industrial Plants

Process Systems Engineering Tools for Optimization of Trained Machine Learning Models: Comparative and Perspective

Development and Evaluation of Deep Learning Models for Forecasting Gas Production and Flowback Water in Shale Gas Reservoirs

Hybrid Machine Learning-Mathematical Programming Approach for Optimizing Gas Production and Water Management in Shale Gas Fields

Incorporating deep learning predictions to assess the water-energy-food nexus security

Incorporating machine learning for thermal engines modeling in industrial waste heat recovery

Data-Driven Machine Learning Approach for Modeling the Production and Predicting the Characteristics of Aligned Electrospun Nanofibers

Reusing Industrial Gaseous Emissions for Syngas Production

Multicommutated flow-through optosensors implemented with photochemically induced fluorescence: Determination of flufenamic acid

Determination of azoxystrobin residues in grapes, musts and wines with a multicommuted flow-through optosensor implemented with photochemically induced fluorescence

Simultaneous Flow-Injection Solid-Phase Fluorometric Determination of Thiabendazole and Metsulfuron Methyl Using Photochemical Derivatization

Flow-through optosensor combined with photochemically induced fluorescence for simultaneous determination of binary mixtures of sulfonamides in pharmaceuticals, milk and urine

Implementation of flow-through solid phase spectroscopic transduction with photochemically induced fluorescence: determination of thiamine

Solar photovoltaic panel production in Mexico: A novel machine learning approach

Optimal expansion for a clean power sector transition in Mexico based on predicted electricity demand using deep learning scheme

Determination of sub-ppb reserpine by an optosensing device based on photochemically induced fluorescence

Optimal Profit Distribution in Interplant Waste Heat Integration through a Hybrid Approach

A machine learning approach for optimizing the water-energy-food-ecosystem nexus: a resilience perspective for sustainability

Interferencia por ácido 2,4-diamino-N10-metilpteroico en la determinación de metotrexato tras la administración de glucarpidasa

Edward Weston & Harry Callahan

Flow-through optosensing device implemented with photochemically-induced fluorescence for the rapid and simple screening of metsulfuron methyl in environmental waters

Enhancing Solar Photovoltaic Panel Production: A Novel Machine Learning Approach for Optimizing Mexico’s Potential

Machine Learning Models Development for the Optimal Production of Aligned Nanofibers

Legítima defensa: ¿un derecho o un riesgo? La Ley N° 32026 en debate

Laparoscopic approach in gastrointestinal emergencies

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