Results 161 to 170 of about 88,237 (314)
Analysis of feature selection with K-nearest neighbour (KNN) to classify indoor air pollutants
Indoor air may be polluted by various types of pollutants which may come from cleaning products, construction activities, perfumes, cigarette smoke and outdoor pollutants.
Saad, S. M. +5 more
core
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Porous Carbon Materials for Carbon Dioxide Capture
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu +6 more
wiley +1 more source
A Novel Multi-Source Fault Diagnosis Strategy Based on Knowledge and Data Dual-Drive for a Planetary Gearbox. [PDF]
Yang H, Hao J.
europepmc +1 more source
ABSTRACT Antimicrobial peptides (AMPs) are promising alternatives to antibiotics but require precise and costly sequence control for efficacy. Synthetic polymers composed of acrylate and acrylamide offer a simpler and more time‐efficient antibacterial strategy compared to AMPs.
Jooyoung Roh +2 more
wiley +1 more source
DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validation. [PDF]
Abdelhakim E +3 more
europepmc +1 more source
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source
Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols. [PDF]
Juwaied A, Jackowska-Strumillo L.
europepmc +1 more source
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan +2 more
wiley +1 more source
LHW-Net: An ensemble-based machine learning framework for brain tumor classification. [PDF]
Suryadevara T, Mahamkali N, Rafi M.
europepmc +1 more source

