Results 241 to 250 of about 74,153 (309)
A novel parameter-free differentiable filled function for global optimization. [PDF]
Chen G.
europepmc +1 more source
Seismic Meta‐Fragility Functions
ABSTRACT Fragility functions make for one of the three key components of probabilistic seismic risk analysis, along with hazard and consequence and/or exposure models. They are, in principle, construction‐specific; however, risk analysis is more often performed on a larger (e.g., regional) scale. In this case, so‐called typological fragility curves are
Iunio Iervolino, Georgios Baltzopoulos
wiley +1 more source
Dynamics and optimal control of a weighted-network dengue model with seasonal transmission. [PDF]
Luo Y +4 more
europepmc +1 more source
Seismic Structural Reliability by Time‐Variant Fragility Functions
ABSTRACT The seismic vulnerability of aging structures is often represented in the form of fragility curves that vary with time. On one hand, each of these functions is intended to apply if the earthquake hits at the time the fragility refers to. On the other hand, performance‐based earthquake engineering (PBEE) resources to classical probabilistic ...
Iunio Iervolino
wiley +1 more source
Methods for Analyzing RNA Pseudoknots via Chord Diagrams and Intersection Graphs. [PDF]
Ibrahim R, Moore AH.
europepmc +1 more source
ABSTRACT Estimation of the time required for damaged building components to return to their pre‐earthquake conditions through repair is a critical element in assessing the seismic resilience of buildings, and it requires consideration of uncertainty.
Tomoaki Nishino +5 more
wiley +1 more source
Asymptotics of Symmetric Polynomials: A Dynamical Point of View. [PDF]
Guionnet A, Huang J.
europepmc +1 more source
This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa +3 more
wiley +1 more source
Training-set conditionally valid prediction sets with right-censored data. [PDF]
Si W, Qiu H.
europepmc +1 more source
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine +5 more
wiley +1 more source

