Results 131 to 140 of about 76,469 (342)
Algorithme de Branch and Price pour la confection d'horaires d'infirmières [PDF]
Problématique et méthode utilisée -- Présentation du problème de confection d'horaires d'infirmières -- Revue des méthodes existantes -- Description et modélisation du problème NSP1 -- Méthode retenue -- Description et modélisation du problème NSP2 -- L ...
Doyon, Jean-Philippe
core +1 more source
Fabrication Routes for Ionic Conducting Fiber Strain Sensors
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw +3 more
wiley +1 more source
Banks as ‘fat cats’: Branching and Price Decisions in a Two-Stage Model of Competition [PDF]
In this paper we develop an empirical two-stage model of competition for the banking industry that incorporates the choice of capacity in the form of new branches. It is estimated using data on Italian banks for the years 1995-2009. The results show that
COCCORESE, Paolo
core
A branch-and-price solution strategy for integrated process planning and scheduling problems
This research investigates the integrated process planning and scheduling (IPPS) problem that considers process planning and production scheduling simultaneously with the aim of minimizing makespan.
Dung-Ying Lin, Che-Hao Chen
doaj +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen +14 more
wiley +1 more source
Stock price prediction based on GAF and enhanced dual-branch CNN model
To address the inherent difficulty of forecasting stock prices, this study proposes a hybrid prediction model that integrates Gramian angular fields (GAF), convolutional neural networks (CNNs), bidirectional long short-term memory (BiLSTM), and an ...
Yu Zhang, Guanghui Chang
doaj +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
The surge in e-commerce has led to an increased demand for urban express services, requiring the strategic development of delivery networks that are both efficient and cost-effective.
Jinqiu Zhao +6 more
doaj +1 more source
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein +4 more
wiley +1 more source

