Results 171 to 180 of about 6,292,535 (287)
Pediatric fracture classification in plain radiographs using EfficientNetV2 with proximal policy optimization fine-tuning. [PDF]
Barhoush M +11 more
europepmc +1 more source
Policy Library is a collection of material from, and links to, British and international research ...
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ABSTRACT Transition intermediaries play a pivotal role in configuring networks aligning the interests of stakeholders to achieve sustainable goals. However, the transition literature has paid little attention to the influence intermediaries can have in strengthening organisational capabilities. Especially in sectors that are slow to change, such as the
Horacio Gonzalez +2 more
wiley +1 more source
PPO-GPR: A Custom Proximal Policy Optimization Tool for Active Reinforcement Learning. [PDF]
Osaro E, Colón YJ.
europepmc +1 more source
ABSTRACT This study explores how circular economy (CE) principles are incorporated in construction‐related policy roadmaps worldwide, addressing the growing need for effective resource strategies in a highly material‐intensive sector. National strategic CE documents from 57 countries were analyzed using natural language processing techniques, and then ...
Aidana Tleuken +5 more
wiley +1 more source
ABSTRACT Small and medium enterprises (SMEs) dominate the global business landscape, making their sustainability efforts crucial. Yet little is known about how institutional contexts shape these practices. Using Institutional Theory, we compare the influence of cluster membership (CM), global value chain (GVC) membership, and the organizational ...
Barbara Caemmerer +2 more
wiley +1 more source
Multi-UAV Cooperative Hunting in Obstructed Environments via a Multi-Agent Proximal Policy Optimization with Curriculum Learning. [PDF]
Zheng L, Zhou J, Peng H, Li B, Wang X.
europepmc +1 more source
Model-Free In Situ Optimization of Diffractive Optical Processors Using Proximal Policy Optimization
We present a model-free in situ training framework for diffractive optical networks based on Proximal Policy Optimization (PPO). This approach provides a scalable and robust solution for training diverse analog optical and physical computing systems.
Yuhang Li +3 more
core +1 more source
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
Adaptive competitive balance regulation in professional sports leagues via graph attention networks and proximal policy optimization. [PDF]
Hu X, Lin Y.
europepmc +1 more source

