Results 91 to 100 of about 818,075 (294)

Decentralized Task Scheduling in Distributed Systems: A Lightweight Multi-Agent Deep Reinforcement Learning Approach With Gossip-Based Consensus

IEEE Access
Efficient task scheduling in large-scale distributed systems remains challenging because workloads are dynamic, resources are heterogeneous, and centralized schedulers introduce coordination bottlenecks.
Daniel Benniah John
doaj   +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 ...
Schatteman, Damien, Herroelen, Willy, De Frene, Eline, Van de Vonder, Stijn   +3 more
core  

Bistable Networks Enable Complex Shape Changes

Advanced Science, EarlyView.
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley   +1 more source

Ant colony optimization in project management

Computer Assisted Methods in Engineering and Science, 2022
This paper presents an Ant Colony Optimization (ACO) approach to the resource-constrained project scheduling problem (RCPSP). RCPSP as a generalization of the classical job shop scheduling problem belongs to the class of NP-hard optimization problems ...
Bożena Skołud, Bożena Marcińczyk
doaj  

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Solving an Optimization Problem of Image View Layout with Priority using Heuristic Approach

TIERS Information Technology Journal
The image view layout with priority (IVLP) problem focuses on efficiently arranging picture cards of uniform height but varying widths into the minimum number of 2D frames or display sets and prioritizing images with higher priority to be placed at the ...
Lely Hiryanto, Andhika Putra Wirawan, Viciano Lee   +2 more
doaj   +1 more source

Deep Learning‐Driven Discovery and Engineering of an Efficient PETase for Depolymerization and Detoxification of PET Microplastics Under Physiological Conditions

Advanced Science, EarlyView.
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang, Shijie He, Yuheng Chang, Sheng Mao, Jianan Canal Li, Binbin Chen, Hongxun Gao, Mingchun Xu, Chenxu Liu, Yajie Wang   +9 more
wiley   +1 more source

Faculty Budget Priority Committee Report, November 1, 2010 [PDF]

, 2010
Report from the Faculty Budget Priority Committee meeting held on November 1 ...
Faculty Budget Priority Committee
core   +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

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