A matching algorithm with isotope distribution pattern in LC-MS based on support vector machine (SVM) learning model. [PDF]
Cui J +5 more
europepmc +1 more source
Nanomedicine‐Driven Strategies for Suppressing Postoperative Tumor Recurrence. This schematic illustrates three pivotal nanomedical strategies that synergistically counteract recurrence by targeting residual disease and the immunosuppressive tumor microenvironment within the surgical cavity.
Lisong Pang +8 more
wiley +1 more source
Exploring the relationship between annual soil loss and formation rate in different land use scenarios using support vector machine (SVM) learning models in Tigray Highlands. [PDF]
Haftu M +4 more
europepmc +1 more source
Analysis of dengue infection based on Raman spectroscopy and support vector machine (SVM). [PDF]
Khan S +5 more
europepmc +1 more source
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
Forecasting for Haditha reservoir inflow in the West of Iraq using Support Vector Machine (SVM). [PDF]
Mahmood OA, Sulaiman SO, Al-Jumeily D.
europepmc +1 more source
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham +2 more
wiley +1 more source
An integrated approach of support vector machine (SVM) and weight of evidence (WOE) techniques to map groundwater potential and assess water quality. [PDF]
Riaz MT +5 more
europepmc +1 more source
Priorization of River Restoration by Coupling Soil and Water Assessment Tool (SWAT) and Support Vector Machine (SVM) Models in the Taizi River Basin, Northern China. [PDF]
Fan J +7 more
europepmc +1 more source
ABSTRACT Predicting corporate environmental violations remains a key challenge in practice and in environmental governance research. However, existing studies have largely focused on ex post associations between stakeholder pressures and realized environmental violations, offering limited insight into whether stakeholder pressures can be used ex ante ...
Xiaolan Chen +4 more
wiley +1 more source

