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
Count highly-cited papers instead of papers with h citations: use normalized citation counts and compare "like with like"! [PDF]
Bornmann L, Leydesdorff L.
europepmc +1 more source
An Integrated Fabric‐Pneumatic Soft Sensing System for Multi‐Site Muscle Activity Decoding
Fabric‐pneumatic chambers convert muscle deformation into pressure signals without electronics at the body‐contact sensing interface. A unified processing pipeline enables static posture classification, continuous elbow‐angle estimation, forearm gesture recognition, and knee‐movement detection across three anatomical sites.
Qifeng Xun +3 more
wiley +1 more source
This study aims to investigate Iran scientific production pre-revolutionary by 2016 with the emphasis on the conferences proceedings, highly cited and hot papers, and open access papers, in the light of the Law of Economic, Social, and Cultural ...
Mohammad Reza Ghane, Samira Kumarsi
doaj
Most UK scientists who publish extremely highly-cited papers do not secure funding from major public and charity funders: A descriptive analysis. [PDF]
Stavropoulou C, Somai M, Ioannidis JPA.
europepmc +1 more source
Articles of UFRGS represented in Web of Science: highly cited and the citing papers
This paper uses bibliometric indicators of activity and impact to analyse articles published by authors from Universidade Federal do Rio Grande do Sul (UFRGS), represented in the Web of Science (WoS) at the period 2000-2009. The review covers theoretical visibility, citation and indicators of scientific production.
Brambilla, Sônia Domingues Santos +1 more
openaire +1 more source
ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu +11 more
wiley +1 more source
AI Dependence as a Longitudinal Governance Problem
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley +1 more source
The role of venture‐financed startups in innovation for US agriculture
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff +2 more
wiley +1 more source

