Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review
The increased water scarcity, depletion of freshwater resources, and rising environmental
awareness are stressing for the development of sustainable wastewater treatment …
awareness are stressing for the development of sustainable wastewater treatment …
A review of biowaste remediation and valorization for environmental sustainability: Artificial intelligence approach
Biowaste remediation and valorization for environmental sustainability focuses on
prevention rather than cleanup of waste generation by applying the fundamental recovery …
prevention rather than cleanup of waste generation by applying the fundamental recovery …
[HTML][HTML] Ensemble machine learning to accelerate industrial decarbonization: Prediction of Hansen solubility parameters for streamlined chemical solvent selection
Several processes and strategies have been developed to promote the utilization of lignin
and to facilitate its market adoption across a broad spectrum of applications within the …
and to facilitate its market adoption across a broad spectrum of applications within the …
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Out-of-distribution (OOD) generalization has long been a challenging problem that remains
largely unsolved. Gaussian processes (GP), as popular probabilistic model classes …
largely unsolved. Gaussian processes (GP), as popular probabilistic model classes …
Hot‐Air‐Assisted Infrared Drying for Marinated Anchovy: Effects of Spice Blends on Drying Characteristics and Quality
KC Neethu, DS Aniesrani Delfiya… - Journal of Food …, 2025 - Wiley Online Library
This study examined the drying characteristics and quality of raw and marinated anchovy
using a hot‐air‐assisted pilot‐scale infrared (IR) dryer. Anchovy was marinated with various …
using a hot‐air‐assisted pilot‐scale infrared (IR) dryer. Anchovy was marinated with various …
[HTML][HTML] Teaching classical machine learning as a graduate-level course in chemical engineering: An algorithmic approach
KE Pilario - Digital Chemical Engineering, 2024 - Elsevier
The demand for engineering graduates with technical skills in data science, machine
learning (ML), and artificial intelligence (AI) is now growing. Chemical engineering (ChemE) …
learning (ML), and artificial intelligence (AI) is now growing. Chemical engineering (ChemE) …
Innovations in the Cyanobacteria-Based Biorefineries for Biopharmaceutical Industries
The biopharmaceutical industry witnesses exceptional growth globally since their
emergence. It revitalizes our ability to combat antimicrobial resistance by providing …
emergence. It revitalizes our ability to combat antimicrobial resistance by providing …
[PDF][PDF] Digital Chemical Engineering
EG Al-Sakkari, A Ragab, M Amer, O Ajao, M Benali… - researchgate.net
Several processes and strategies have been developed to promote the utilization of lignin
and to facilitate its market adoption across a broad spectrum of applications within the …
and to facilitate its market adoption across a broad spectrum of applications within the …
[PDF][PDF] Digital Chemical Engineering
KE Pilario - 2000 - researchgate.net
The demand for engineering graduates with technical skills in data science, machine
learning (ML), and artificial intelligence (AI) is now growing. Chemical engineering (ChemE) …
learning (ML), and artificial intelligence (AI) is now growing. Chemical engineering (ChemE) …