Results 101 to 110 of about 140,688 (313)

Heuristic algorithms with rounded weights for a combinatorial food packing problem

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2017
In this paper, a lexicographic bi-criteria food packing problem arising in actual packaging equipments is considered. Given a set I = {i | i = 1,2,...,n} of current n items (for example, n green peppers) with their weights wi and priorities pi, the ...
Yoshiyuki KARUNO, Ryo SAITO
doaj   +1 more source

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

Advanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li, Xichen Sun, Shaohua Sun, Runzhou Wang, Miaomiao Zhang, Meng Xiao, Yue Wang, Yuezhou Zhang   +7 more
wiley   +1 more source

Priority-aware Radio Resource Scheduling for mMTC in 5G Networks - Balancing Efficiency and Fairness

Journal of Telecommunications and Information Technology
Efficient and fair resource allocation for massive machine-type communication remains a significant challenge in 5G New Radio networks due to the diverse quality of service requirements and dynamic traffic patterns.
Prashant Kumar Baheti, Ajay Khunteta
doaj   +1 more source

Research on Task Priority Model and Algorithm for Satellite Scheduling Problem

IEEE Access, 2019
In satellite scheduling system, one of the most important issues is task scheduling. Most of the existing algorithms focused on the scenario of normal tasks with fixed priority and don’t consider emergency tasks.
Jian Wu, Jiawei Zhang, Jinghui Yang, Lining Xing   +3 more
doaj   +1 more source

Comparison of Heuristic Priority Rules in the Solution of the Resource-Constrained Project Scheduling Problem [PDF]

, 2021
Osman Hürol Türkakın, David Arditi, Ekrem Manisalı   +2 more
openalex   +1 more source

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

Advanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su, Qi Qi, Yi Fan, Yubo Wang, Gaoyang Hao, Ka‐Chun Wong, Yunhe Wang, Xiangtao Li   +7 more
wiley   +1 more source

A heuristic approach for deriving the priority vector in AHP

Applied Mathematical Modelling, 2013
Abstract This paper proposes an approach for deriving the priority vector from an inconsistent pair-wise comparison matrix through the nearest consistent matrix and experts judgments, which enables balancing the consistency and experts judgments.
Changsheng Lin, Gang Kou, Daji Ergu
openaire   +1 more source

A heuristic methodology for solving spatial aresource-constrained project scheduling problems. [PDF]

In this paper we present a heuristic methodology for solving resource-constrained project scheduling problems with renewable and spatial resources. We especially concentrate on spatial resources that are encountered in construction projects, but our ...
De Frene, Eline, Herroelen, Willy, Schatteman, Damien, Van de Vonder, Stijn   +3 more
core  

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

AP‐Lab: An AI‐Driven Autonomous Pilot‐Scale Platform Bridging Materials Discovery and Industrial Manufacturing

Advanced Science, EarlyView.
AP‐Lab bridges materials discovery and industrial manufacturing by coupling proprietary datasets with an application benchmark (PCR Ct). A closed‐loop optimization workflow integrates ML, LLM, and autonomous synthesis/testing to refine magnetic nanoparticles–based nucleic‐acid extraction systems.
Zhan‐Long Wang, Zhifen Ma, Wenxing Song, Guolai Jiang, Boshi Jiang, Mingyang Jiang, Weiliang Shu, Bing Wang, Zhiyuan Wan, Shengyong Geng, Zhen Zhao, Wenhua Zhou, Xue‐Feng Yu   +12 more
wiley   +1 more source