Results 201 to 210 of about 117,539 (289)

Optimizing Cold Food Supply Chains for Enhanced Food Availability Under Climate Variability. [PDF]

Foods
Hernandez-Cuellar D, Castillo-Villar KK, Castillo-Villar FR.   +2 more
europepmc   +1 more source

Probabilistic techniques for obtaining accurate patient counts in Clinical Data Warehouses. [PDF]

J Biomed Inform, 2011
Myers RB, Herskovic JR.
europepmc   +1 more source

Architecture and quality in data warehouses - An extended repository approach. [PDF]

Jarke, M., Jeusfeld, M.A., Quix, C., Vassiliadis, P.   +3 more
core   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Production and trade of specialty coffee in Brazil. [PDF]

Sci Rep
Sera GH, Volsi B, Mariucci Júnior V, Pereira CTM, Telles TS.   +4 more
europepmc   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

A Study on the Application of CO₂-Modified Atmosphere Combined with Temperature-Control Technology in Rice Warehouse Storage. [PDF]

Foods
Wang S, Zhao Y, Lv H, Qi T, Song Y.
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Two heuristic algorithms for location-inventory-routing models involving two warehouses within multi-echelon supply chain networks. [PDF]

Sci Rep
Dai Z, Zhou Y, Giri BC.
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source