Results 181 to 190 of about 321,320 (290)

NeuroAction: a neuroevolutionary approach to reinforcement learning for autonomous vehicles. [PDF]

Sci Rep
Aboyeji E, Ajani OS, Fenyom I, Mallipeddi R.   +3 more
europepmc   +1 more source

Application of Time‐Driven Activity‐Based Costing for Protocol‐Driven Adult Open Airway Reconstruction

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective To describe a protocol‐driven approach to adult open airway reconstruction for benign airway stenosis and apply time‐driven activity‐based costing (TDABC) methodology to characterize resource utilization and cost drivers. Study Design Retrospective cohort study. Setting Tertiary academic medical center.
Andrew D. P. Prince, Fatameh Ramazani, Robbi A. Kupfer, Norman D. Hogikyan, Robert J. Morrison, Pratyusha Yalamanchi   +5 more
wiley   +1 more source

Chaos-Embedded Multi-Objective Intelligent Optimization-Based Explainable Classification Model for Determining Cherry Fruit Fly Infestation Levels Using Pomological Data. [PDF]

Biomimetics (Basel)
Yildirim S, Ozgen I, Alatas B, Yildirim H.   +3 more
europepmc   +1 more source

Foraging and movement flexibility shape seed dispersal by an arboreal primate in a modified landscape

Oikos, EarlyView.
As habitats change, the effectiveness of animal‐mediated seed dispersal increasingly depends on animal responses to altered structure and resources. With habitat loss and degradation accelerating across the tropics, understanding how dispersers' foraging behavior and movement influence seed removal and deposition is critical to promoting forest ...
Anaid Cárdenas‐Navarrete, Sarie Van Belle, Onja H. Razafindratsima   +2 more
wiley   +1 more source

An improved multi-objective animated oat optimization algorithm for resource-constrained construction project organization design. [PDF]

Sci Rep
Xue Q, Wu C, Nie J, Zhou S, Liu H, Katsikis VN.   +5 more
europepmc   +1 more source

Manufacturability‐Aware Multi‐Objective Screening of Filament‐Wound Type IV Pressure‐Vessel Cylindrical Sections Using Dual‐Pressure Hashin Constraints

Polymer Composites, EarlyView.
Manufacturability‐aware multi‐objective screening of Type IV filament‐wound composite pressure‐vessel cylindrical sections toward lightweight and high‐strength designs. ABSTRACT A manufacturability‐aware preliminary screening framework is proposed for the straight cylindrical section of filament‐wound Type IV composite pressure vessels.
Önder Albayrak, Ahmet Çalık
wiley   +1 more source

Multi-objective optimization of a regional biogas supply chain using organic waste. [PDF]

Sci Rep
Malashin IP, Martysyuk D, Nelyub V, Borodulin A, Gantimurov A, Tynchenko V.   +5 more
europepmc   +1 more source

Biosurfactant production by Pseudomonas aeruginosa isolated from mining waste: From genomic analysis to development of a polymeric composite for removal of hexavalent chromium

Polymer International, EarlyView.
Biosurfactant was produced by Pseudomonas aeruginosa using andiroba waste from Amazonia. A biosurfactant–alginate composite (Alg/BioS) was successfully synthesized via ionotropic gelation, and achieved up to 70% Cr6+ removal from water. Abstract Environmental contamination by heavy metals represents a significant challenge due to their persistence in ...
Paulo Diniz Austriaco, Emilly Cruz da Silva, Glenda Sores Gomes, Joane Almeida Alves, Amanda Vidal, Leandro Argolo, Rafaela Ribeiro, Luciana Souza, José Augusto Pires Bitencourt, Leonardo Brasil Felipe, Leonie Asfora Sarubbo, Sidnei Cerqueira dos Santos   +11 more
wiley   +1 more source

A multiobjective human evolutionary optimization algorithm for complex engineering problems. [PDF]

Sci Rep
Tarunika D, Sharma A.
europepmc   +1 more source

An objective Bayesian method for including parameter uncertainty in ensemble model output statistics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson, Leonardo Olivetti, Gabriele Messori, Paul J. Northrop, Trevor Sweeting   +4 more
wiley   +1 more source