Results 231 to 240 of about 30,884 (295)

Seismic Meta‐Fragility Functions

Earthquake Engineering &Structural Dynamics, EarlyView.
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

Optimal Harvesting in Stream Networks: Maximizing Biomass and Yield. [PDF]

Bull Math Biol
Nguyen TD, Shuai Z, Tang T, Veprauskas A, Wu Y, Zhou Y.   +5 more
europepmc   +1 more source

Seismic Structural Reliability by Time‐Variant Fragility Functions

Earthquake Engineering &Structural Dynamics, EarlyView.
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

Diamond on Kurepa trees. [PDF]

Mon Hefte Math
Kostana Z, Rinot A, Shelah S.
europepmc   +1 more source

Bipolar q $q$‐Fractional Fuzzy Aggregation Operators for Multi‐Criteria Decision‐Making in Optimal Renewable Energy Selection

Energy Science &Engineering, EarlyView.
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, Zanyar A. Ameen, Wafa Alagal, Baravan A. Asaad   +3 more
wiley   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
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, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

A Repeated Block Perturbation Subsampling for Large-Scale Longitudinal Data. [PDF]

J Stat Theory Pract
Yao Y, Lee JH, Jin Z.
europepmc   +1 more source

Forced Draught Impact on Externally Venting Flames: An Experimental and Numerical Investigation

Fire and Materials, EarlyView.
ABSTRACT Wind can significantly influence fire development and spread in urban and forest environments causing fatal consequences for the public, the first responders, and the environment. Wind‐driven fires can have a significant impact on structural fires as wind can increase the fire's intensity, development, and flame spread.
Anoop Subramania Warrier, Jan Smolka, Kamila Kempna, Meet Panchal, Tony Graham, Eleni Asimakopoulou   +5 more
wiley   +1 more source

Training-set conditionally valid prediction sets with right-censored data. [PDF]

Lifetime Data Anal
Si W, Qiu H.
europepmc   +1 more source

On the central limit theorem in \(R_k\)

, 1961
openaire   +2 more sources