Results 91 to 100 of about 3,788,176 (279)
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
Mixed-Integer Optimization for Ship Retrofitting in Green Logistics
Maritime transportation plays a pivotal role in global trade and international supply chains. However, the sector is also a significant source of emissions.
Tianfang Ma +4 more
doaj +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
New Mathematical Modeling to Optimize the Frequency of Bus Routes
The public transport system must be structured to ensure the constancy of activities, the maintenance of demand, and financial stability, in which the frequency of service plays a crucial role.
Joyce Azevedo Caetano +3 more
doaj +1 more source
Accounting for animal health in efficiency analysis: An application to Swedish dairy farms
Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang +3 more
wiley +1 more source
Spreading Code Sequence Design via Mixed-Integer Convex Optimization
For a satellite navigation system, binary spreading codes with good autocor-relation and cross-correlation properties are critical for ensuring precise synchronization and tracking with minimal intrasystem interference. In this paper, we demonstrate that
Alan Yang Tara Mina, Grace Gao
doaj +1 more source
A zebrafish xenograft model accurately distinguishes metastatic from non‐metastatic HNSCC and recapitulates cisplatin sensitivity/resistance patterns. Using patient‐derived tumors, it predicts individual therapeutic responses, offering a rapid, clinically applicable platform for guiding personalized treatment. Abstract Background Head and neck squamous
Lu Chen +11 more
wiley +1 more source
Optimal scheduling of smart home appliances using mixed-integer linear programming [PDF]
In the last years we have witnessed an increasing interest in smart buildings, in particular for what concerns optimal energy management, renewable energy sources, and smart appliances.
Sartor, Giorgio
core
Abstract Muscle architecture is a major determinant of muscle performance and, in mammalian lineages, has been correlated with both feeding ecology and locomotor behaviors. Over the past decade, contrast‐enhanced micro‐CT (DiceCT) has emerged as an alternative to traditional dissection‐based measurement.
Aleksandra Ratkiewicz +5 more
wiley +1 more source
Multistage Expansion Co-Planning of Integrated Natural Gas and Electricity Distribution Systems
This paper focuses on expansion co-planning studies of natural gas and electricity distribution systems. The aim is to develop a mixed-integer linear programming (MILP) model for such problems to guarantee the finite convergence to optimality.
Mohammad Jooshaki +4 more
doaj +1 more source

