Results 261 to 270 of about 3,361,542 (356)
Abstract Supply and manufacturing networks in the chemical industry involve diverse processing steps across different locations, rendering their operation vulnerable to disruptions from unplanned events. Optimal responses should consider factors such as product allocation, delayed shipments, and price renegotiation, among other factors. In such context,
Daniel Ovalle+6 more
wiley +1 more source
Data-driven discovery and parameter estimation of mathematical models in biological pattern formation. [PDF]
Hishinuma H+2 more
europepmc +1 more source
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley +1 more source
Correction: Universal penalized regression (Elastic-net) model with differentially methylated promoters for oral cancer prediction. [PDF]
Das S+12 more
europepmc +1 more source
A CAVE Survey for Measuring Mathematics Attitudes Based on the Characteristics of Students in Mainland China. [PDF]
Lv J, Wang K, Chen F, Bicer A.
europepmc +1 more source
Application of alternative nonlinear models to predict growth curve in partridges. [PDF]
Ghavi Hossein-Zadeh N.
europepmc +1 more source
The Annals of Mathematical Statistics
openaire +2 more sources
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus+4 more
wiley +1 more source
Development of a Mathematical Model of the Self-Shielded Flux-Cored Arc Surfacing Process for the Determination of Deposition Rate. [PDF]
Szymura M, Czupryński A, Ochodek V.
europepmc +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen+4 more
wiley +1 more source