ผลงานตีพิมพ์ทั้งหมด All Publications

รวบรวมผลงานวิจัยที่ตีพิมพ์ในวารสารวิชาการระดับนานาชาติของ I-Code Lab เรียงตามวันที่ใหม่ → เก่า Research papers published in international academic journals by I-Code Lab, sorted from newest to oldest.

23 ผลงานทั้งหมดTotal publications

5 ปีการตีพิมพ์Years active

2026

ผลงานตีพิมพ์ทั้งหมด All Publications

Machine learning-guided catalyst selection for bio-oil hydrodeoxygenation to maximize hydrocarbon yields toward renewable naphtha and sustainable aviation fuel

Intelligent process simulation framework for bio-oil production from Wolffia globosa fast pyrolysis via Aquila Optimizer

Integrated machine learning models for prediction of multiphase products from hydrothermal treatment of biomass

Enhanced pure pursuit with dynamic steering control for autonomous mobile robots and application to safe navigation in chemical plants

Developing physics-based constrained surrogate model for hydrothermal liquefaction of lignocellulosic biomass

Comprehensive plant layout optimization for empty fruit bunch biodiesel production: A multi-floor MINLP approach with safety integration

Integrated multi-objective MINLP optimization for cost-effectiveness and safety in multi-floor process layout for manufacturing industries

Machine learning and thermodynamic modeling for optimizing hydrogen production via algae-biomass co-gasification

Multi-task deep learning for simultaneous prediction of steel purity and carbon capture rate using membrane separation technology in integrated steelmaking processes

Low-cost portable microplastic detection system integrating nile red fluorescence staining with YOLOv8-based deep learning

Non-destructive sweetness classification of Khao Tang Kwa pomelos using machine learning with acoustic and image processing

Optimization of combined subcritical water and CO2 extraction for enhanced phenolics and antioxidant activity from coffee byproducts

Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis

Optimization of 3D printed drone performance using synergistic multi algorithms

BCLH2Pro: A novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes

Data-driven prediction of electrospun nanofiber diameter using machine learning: A comprehensive study and web-based tool development

IoT enhanced deep water culture hydroponic system for optimizing Chinese celery yield and economic evaluation

Application of Artificial Intelligence and Image Processing for the Cultivation of Chlorella sp. Using Tubular Photobioreactors

Predictive modeling for multifaceted hydrothermal carbonization of biomass

Development of metaheuristic algorithms for efficient path planning of autonomous mobile robots in indoor environments

Modeling of continuous hydrogen fermentation integrated with continuous in-line liquid-liquid extraction

Efficiency improvement of biomass gasifier using porous media heat recuperator

Optimization of iodine number of carbon black obtained from waste tire pyrolysis plant via response surface methodology