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Techno-economic analysis of ethanol production from lignocellulosic biomass–a comparison of fermentation, thermo catalytic, and chemocatalytic technologies

Bioprocess and biosystems engineering, 2021-06, Vol.44 (6), p.1093-1107

2021

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A simplified multi-objective particle swarm optimization algorithm

Swarm intelligence, 2020-06, Vol.14 (2), p.83-116

2020

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Traveling of multiple salesmen to dynamically changing locations for satisfying multiple goals

Digital Chemical Engineering, 2024-06, Vol.11, p.100149, Article 100149

2024

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An Ultra-High Gain Quadratic Converter Based on Coupled Inductor and Switched Capacitor Techniques for DC Micro-Grid Applications

IEEE journal of emerging and selected topics in power electronics, 2024-04, Vol.12 (2), p.1709-1718

2024

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A ZVS based Non-isolated High Step-up DC-DC Converter with Low Voltage Stress for Renewable Applications

IEEE journal of emerging and selected topics in power electronics, 2023-06, Vol.11 (3), p.1-1

2023

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MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images

Scientific reports, 2024-06, Vol.14 (1), p.12699-12699

2024

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A single‐switch high‐gain DC–DC converter for photovoltaic applications

International journal of circuit theory and applications, 2022-04, Vol.50 (4), p.1194-1215

2022

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A high‐gain low‐ripple DC–DC converter for micro‐grid applications

International journal of circuit theory and applications, 2023-02, Vol.51 (2), p.807-828

2023

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A high step‐up soft‐switched DC‐DC converter with reduced voltage stress for DC micro‐grid applications

International journal of circuit theory and applications, 2023-04, Vol.51 (4), p.1758-1776

2023

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A high gain soft switched DC-DC converter for renewable applications

International journal of electronics, 2023-08, Vol.110 (8), p.1447-1467

2023

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An improved machine learning-based prediction framework for early detection of events in heart failure patients using mHealth

Health and technology, 2024-05, Vol.14 (3), p.495-512

2024

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Process control of mAb production using multi-actor proximal policy optimization

Digital Chemical Engineering, 2023-09, Vol.8, p.100108, Article 100108

2023

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Preventive crude oil scheduling under demand uncertainty using structure adapted genetic algorithm

Applied energy, 2019-02, Vol.235, p.68-82

2019

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Using following heroes operation in multi-objective differential evolution for fast convergence

Applied soft computing, 2021-06, Vol.104, p.107225, Article 107225

2021

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Reactive scheduling of crude oil using structure adapted genetic algorithm under multiple uncertainties

Computers & chemical engineering, 2018-08, Vol.116, p.333-351

2018

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Surrogate model-based optimization of methanol synthesis process for multiple objectives: A pathway towards achieving sustainable development goals

Chemical engineering research & design, 2024-04, Vol.204, p.172-182

2024

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Multi-objective dynamic optimization of hybrid renewable energy systems

Chemical engineering and processing, 2022-01, Vol.170, p.108663, Article 108663

2022

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Fault detection using Graph Neural Differential Auto-encoders (GNDAE)

Computers & chemical engineering, 2024-10, Vol.189, p.108775, Article 108775

2024

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Optimisation of methanol distillation using GA and neural network hybrid

Materials and manufacturing processes, 2023-11, Vol.38 (15), p.1911-1921

2023

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In Vitro Identification of the Hamiltonian Cycle Using a Circular Structure Assisted DNA Computer

ACS combinatorial science, 2020-05, Vol.22 (5), p.225-231

2020

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Dynamic hybrid scheduling of crude oil using structure adapted genetic algorithm for uncertainty of tank unavailability

Chemical engineering research & design, 2020-07, Vol.159, p.78-91

2020

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A framework for model maintenance using kernel-based forward propagating neural networks

Chemical engineering research & design, 2024-10, Vol.210, p.352-364

2024

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Optimal variable selection for effective statistical process monitoring

Computers & chemical engineering, 2014-01, Vol.60, p.260-276

2014

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Evolutionary algorithm hybridized with local search and intelligent seeding for solving multi-objective Euclidian TSP

Expert systems with applications, 2021-11, Vol.181, p.115192, Article 115192

2021

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Axial dispersion modeling of industrial hydrocracking unit and its multiobjective optimization

Chemical engineering research & design, 2017-05, Vol.121, p.57-68

2017

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Techno-economic analysis of ethanol production from lignocellulosic biomass–a comparison of fermentation, thermo catalytic, and chemocatalytic technologies

A simplified multi-objective particle swarm optimization algorithm

Traveling of multiple salesmen to dynamically changing locations for satisfying multiple goals

An Ultra-High Gain Quadratic Converter Based on Coupled Inductor and Switched Capacitor Techniques for DC Micro-Grid Applications

A ZVS based Non-isolated High Step-up DC-DC Converter with Low Voltage Stress for Renewable Applications

MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images

A single‐switch high‐gain DC–DC converter for photovoltaic applications

A high‐gain low‐ripple DC–DC converter for micro‐grid applications

A high step‐up soft‐switched DC‐DC converter with reduced voltage stress for DC micro‐grid applications

A high gain soft switched DC-DC converter for renewable applications

An improved machine learning-based prediction framework for early detection of events in heart failure patients using mHealth

Process control of mAb production using multi-actor proximal policy optimization

Preventive crude oil scheduling under demand uncertainty using structure adapted genetic algorithm

Using following heroes operation in multi-objective differential evolution for fast convergence

Reactive scheduling of crude oil using structure adapted genetic algorithm under multiple uncertainties

Surrogate model-based optimization of methanol synthesis process for multiple objectives: A pathway towards achieving sustainable development goals

Multi-objective dynamic optimization of hybrid renewable energy systems

Fault detection using Graph Neural Differential Auto-encoders (GNDAE)

Optimisation of methanol distillation using GA and neural network hybrid

In Vitro Identification of the Hamiltonian Cycle Using a Circular Structure Assisted DNA Computer

Dynamic hybrid scheduling of crude oil using structure adapted genetic algorithm for uncertainty of tank unavailability

A framework for model maintenance using kernel-based forward propagating neural networks

Optimal variable selection for effective statistical process monitoring

Evolutionary algorithm hybridized with local search and intelligent seeding for solving multi-objective Euclidian TSP

Axial dispersion modeling of industrial hydrocracking unit and its multiobjective optimization

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