Results 11 to 20 of about 189,667 (292)
Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images
In this study, we propose a novel point cloud based 3D registration and segmentation framework using reinforcement learning. An artificial agent, implemented as a distinct actor based on value networks, is trained to predict the optimal piece-wise linear
Xia Zhong +8 more
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No project for the transition to the circular economy can be carried out by a single organisation. This research addresses a gap by presenting a process and a set of tools to facilitate the development of circular business models. It contributes to building circular ecosystems by visualizing the parties involved, connecting and aligning their business ...
Boldrini, Jean-Claude +1 more
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Analysis of Multi-Actor Policy Contexts Using Perception Graphs [PDF]
Policy making is a multi-actor process: it involves a variety of actors, each trying to further their own interests. How these actors decide and act largely depends on the way they perceive the policy problem. This paper describes dynamic actor network analysis (DANA), a graph-based method/tool to analyze a policy context by modeling how actors view a ...
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A multi actor multi criteria approach to evaluate the effectiveness of European policies on buildings energy retrofit. The Italian context. [PDF]
In recent years the traditional models and tools used by the public sector to attract private capital into urban regeneration are in crisis, partly due to the economic situation.At the same time, new paradigms able to capture the interest of private subjects in regeneration are emerging.
COPIELLO, SERGIO, BONIFACI, PIETRO
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Innovation is widely regarded as a key factor for the economic development and competitiveness of companies and countries. It is, therefore, widely considered a policy instrument in various sectors, such as agriculture.
Susana B. Guerrero-Ocampo +2 more
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A framework to characterize multi-actor sustainability-oriented innovations in the agri-food context
ABSTRACT Sustainability oriented innovation (SOIs) are multi-faceted types of innovation which can address the challenges of the agri-food industry, tapping knowledge into a diverse set of stakeholders with their areas of expertise. There is currently a lack of conceptualization of all the relevant aspects to discriminate among different SOIs, also in
CICCULLO, FEDERICA +3 more
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Computing a common preference vector in a complex multi-actor and multi-group decision system in Analytic Hierarchy Process context [PDF]
The Analytic Hierarchy Process (hereafter AHP) is a popular multi-criteria decision-making technique. The extant AHP literature usually depicts the geometric mean or the arithmetic mean as a measure of aggregation to process group decisions. However, both these measures are subject to the influence of extreme opinions, and aggregations based on them ...
Pietro Amenta +4 more
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RLHNN: a reinforcement learning-enhanced hybrid neural network for public opinion short text classification [PDF]
The widespread use of social media has led to the rapid generation of opinion-rich short texts, posing increasingly complex and high-variance challenges for public discourse analysis.
Hao Wei, Zongyu Zhang, Hongyue Diao
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Self-adaptation via concurrent multi-action evaluation for unknown context [PDF]
Context-aware computing has been attracting growing attention in recent years. Generally, there are several ways for a context-aware system to select a course of action for a particular change of context. One way is for the system developers to encompass
Nimalasena, A.
core +1 more source
The Hennovation project, an EU H2020 funded thematic network, aimed to explore the potential value of practice-led multi-actor innovation networks within the laying hen industry.
Lisa van Dijk +7 more
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