Conceptualising uncertainty in environmental decision-making: The example of the EU Water Framework Directive [PDF]
The question of how to deal with uncertainty in environmental decision-making is cur-rently attracting considerable attention on the part of scientists as well as of politicians and those involved in government administration.
Sigel, Katja +2 more
core
A systematic literature review on the use of multicriteria decision making methods for small and medium-sized enterprises innovation assessment. [PDF]
Rodríguez-Carrillo ML +4 more
europepmc +1 more source
Rescuing emergency cases of COVID-19 patients: An intelligent real-time MSC transfusion framework based on multicriteria decision-making methods. [PDF]
Alsalem MA +8 more
europepmc +1 more source
ABSTRACT Coastal lagoons are increasingly altered by hydrological modification and catchment‐derived nutrient loading, driving shifts in macrophyte dominance and creating complex management trade‐offs. In Chilika lagoon, India, the emergent macrophyte Phragmites karka has expanded, raising concerns about impacts on native macrophytes, habitat ...
Anjalis Mishra +3 more
wiley +1 more source
Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability. [PDF]
Raut JM +8 more
europepmc +1 more source
A new picture fuzzy divergence measure based on Jensen-Tsallis information measure and its application to multicriteria decision making. [PDF]
Kadian R, Kumar S.
europepmc +1 more source
This bibliometric mapping of 1746 publications (2000–2025) charts molecular diagnostics for WHO priority bacterial pathogens across platforms, targets, and resistance markers. Conventional PCR/NAAT and whole‐genome sequencing emerge as complementary core platforms, and the field evolves from targeted pathogen detection into an AMR‐centered ...
Selahattin Ünlü
wiley +1 more source
Abstract Background In pencil beam scanning (PBS) proton therapy, treatment plans are encoded as proton spot maps (PSMs). Although deep‐learning methods can rapidly predict three‐dimensional (3D) dose distributions from patient anatomy and planning intent, there is still no widely adopted direct, non‐iterative approach to convert doses into physically ...
Xueyan Tang +8 more
wiley +1 more source
Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making. [PDF]
Saleh N, Hassan MA, Salaheldin AM.
europepmc +1 more source

