Results 161 to 170 of about 77,468 (304)
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
An Improved Strategy to Effectively Manage Healthcare Waste after COVID-19 in Republic of Korea
During the coronavirus disease 2019 (COVID-19) pandemic, 24,289 tons of infectious waste was generated in 2021 in Korea, a 320% increase compared to that generated in 2020 (5788 tons). The disposal of other healthcare waste has been delayed because COVID-
Yoon-Soo Park +6 more
core +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Intelligent system for waste classification
La gestión ineficiente de residuos en Colombia genera un impacto ambiental significativo y dificulta la implementación de procesos de reciclaje efectivos.
Garzón Garzón, Arnol Arley Stivel +2 more
core +1 more source
MFPD: A Multiple Fungal Pathogen Detection Pipeline Across Diverse Habitats
Advanced Science, EarlyView.The MFPD pipeline integrates a comprehensive ITS reference database of fungal pathogens, optimized parameters, and algorithms tailored for both full‐length and subregion sequences that balance accuracy and computational efficiency; it enables high‐throughput, species‐level identification from amplicon sequencing data, supporting large‐scale ...
Yi Shen +13 more
wiley +1 more source
Classification system: methodology for waste classification
Development of a classification method for Identification, classification and registration of textile waste coming from production process or products at the end of their ...
openaire +1 more source
Leveraging Convolutional Neural Networks for Multiclass Waste Classification
The impact of population growth on waste production in Indonesia emphasizes the urgent need for effective waste management to mitigate environmental and health risks.
Angdresey, Apriandy +5 more
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
A solid waste classification using reinforcement learning boosted by data augmentation and hyperparameter optimization. [PDF]
Sci RepMaleknya K +3 more
europepmc +1 more source
Classification of waste streams
Assessment report on waste streams and classification, ref. to T7.1.
openaire +1 more source