This study examined whether an individual’s self-efficacy has a moderating role in the relationship between the different types of recycling/reuse knowledge they may have and their recycling/reuse intention, and the positive relationship betwee...
During the creation and integration of a health care system based on medical knowledge graphs, it is necessary to review and select the vocabularies and definitions that best fit the information requirements of the system being developed. This implie...
The current study examines knowledge reuse (focused on the recipient) from a product life-cycle perspective in the context of product-service systems through 27 semi-structured interviews in 11 firms. This study focused on the phases of the beginning...
Recently, deep reinforcement learning (RL) algorithms have achieved significant progress in the multi-agent domain. However, training for increasingly complex tasks would be time-consuming and resource intensive. To alleviate this problem, efficient...
Mass customization aims to meet individual requirements and, therefore, is one way to attract and retain customers—a key challenge in the design industry. The increase in design automation has offered new opportunities to design customized products a...
Despite advances in digital engineering tools, early-stage sheet metal forming tooling design remains strongly dependent on the tacit knowledge of experienced engineers, making systematic knowledge reuse difficult. This study addresses the need for a...
Complex task crowdsourcing (CTC) integrates distributed talent, knowledge, and ideas into innovation via the web; however, task decomposition remains a critical challenge. While existing studies focus primarily on workflow management for specific tas...
Ship coating, as one of the three pillar processes in the shipbuilding industry, runs through the entire process of ship construction. However, there is currently a lack of effective organization, management methods, and mechanisms for ship coating p...
The writing of accurate requirements is a critical factor in assuring the success of a project. Text patterns are knowledge artifacts that are used as templates to guide engineers in the requirements authoring process. However, generating a text patt...
With the development and appliance of multi-agent systems, multi-agent cooperation is becoming an important problem in artificial intelligence. Multi-agent reinforcement learning (MARL) is one of the most effective methods for solving multi-agent coo...
Adaptive reuse of post-industrial heritage is often studied through technical performance, formal intervention strategies, or decision-support models. While these approaches clarify important aspects of reuse, they give limited attention to how proje...
Coal mining production processes are complex and prone to frequent accidents. With the continuous improvement of safety management systems in China’s coal mining industry, a vast amount of coal mine safety experience knowledge (CMSEK) has been...
Based on resource orchestration theory, this paper examines the influence of data-intelligence empowerment on enterprise knowledge recombinant capabilities empirically, using A-share-listed high-technology enterprises from 2012 to 2021 as research ex...
This paper presents a predictive analytics framework for dynamic resource allocation in next-generation networks, with a focus on 5G and 6G scenarios. The proposed approach uses Long Short-Term Memory (LSTM) models to predict traffic patterns and pro...
This study examines the role of environmental knowledge, perceived consumer effectiveness, and willingness to sacrifice on travelers’ towel reuse behavior. Additionally, it tests whether environmental consciousness moderates the effect of envir...
29 July 2021
Mask usage is an effective measure to prevent severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) infection; however, mask reuse is not recommended. Studies examining the factors associated with mask reuse during the coronavirus disease (COV...
This paper presents the development and structure of a geospatial (work in progress), architectural heritage database designed to document, interpret, and valorize Second World War military fortifications in Sardinia. Currently hosting over 1800 geor...
The aim of this article is to discuss the logic and assumptions behind the concept of neural reuse, to explore its biological advantages and to discuss the implications for the cognition of a brain that reuses existing circuits and resources. We firs...
Software upcycling, a form of software reuse, is a concept that efficiently generates novel, innovative, and value-added development projects by utilizing knowledge extracted from past projects. However, how to integrate the materials derived from th...
Vernacular settlements retain tangible fabric and intangible knowledge that can support climate-responsive conservation, adaptive reuse, and urban regeneration, yet these dimensions are often assessed separately. This study applies a values-based con...
Drawing on China’s Green Factory initiative and data from Chinese A-share listed manufacturing firms in the Shanghai and Shenzhen from 2012 to 2024, this study employs a staggered difference-in-differences model to examine the effect of green i...
Meeting European carbon neutrality and energy performance targets requires large-scale rehabilitation of historic and traditional buildings, one of the construction sector’s key challenges by 2050. This will significantly increase demand for ne...
Industrial heritage digitalization increasingly connects documentation, conservation, adaptive reuse, regeneration, and heritage management, yet its interdisciplinary terminology complicates systematic characterization of the field. This study examin...
The ancient Chinese texts exhibit marked intertextual characteristics, where scholars engage in citation, reinterpretation, and reconstruction of earlier works, forming an intellectual lineage spanning millennia. With advances in digital humanities,...
Within the domain of tribology, the science and technology for understanding and controlling friction, lubrication, and wear of relatively moving interacting surfaces, countless experiments are carried out and their results are published worldwide. D...
Assembly process designers typically confront the challenge of seeking information out of large volumes of non-structured files with a view to supporting the decision-making to be made. It is a leading concern that embedding data in text documents ca...
Transfer Learning (TL) has received a great deal of attention because of its ability to speed up Reinforcement Learning (RL) by reusing learned knowledge from other tasks. This paper proposes a new transfer learning framework, referred to as Transfer...
This study explores the extension configuration methods of complex product conceptual design, seeking to improve the product design efficiency and design quality. The paper firstly reviews the literature on element representation models of multi-type...
The transformation of virtual product development to Digital Engineering (DE) requires the successful integration of Digital Engineering or data-driven methods into existing product development processes. Those methods allow for the analysis and usag...
High-throughput scientific instruments are generating massive amounts of data. Today, one of the main challenges faced by researchers is to make the best use of the world’s growing wealth of data. Data (re)usability is becoming a distinct characteris...
Climate change, increase in population and scarcity of freshwater have led to a global demand for wastewater reuse in irrigation. However, wastewater has to be treated in order to minimize the presence of pathogens, in particular, the ova of soil-tra...
The growing popularity of social media data brings questions about its accuracy and usefulness for a wide array of cultural heritage projects, often lacking data sources crucial for better planning and implementation. In this paper, we are studying t...
In order to reach the Millennium Development Goals for significantly reducing the number of people without access to adequate sanitation, new holistic concepts are needed focusing on economically feasible closed-loop ecological sanitation systems rat...
Large language model (LLM)-driven computer use agents (CUAs) automate graphical user interface (GUI) tasks but often re-solve previously encountered subtasks, increasing token use and latency. We address this limitation with a directed graph-based pe...
Ontology merging is an important task in ontology engineering to date. However, despite the efforts devoted to ontology merging, the incorporation of relevant features of ontologies such as axioms, individuals and annotations in the output ontologies...
Sparse phased multiple-input multiple-output (phased-MIMO) radar combines wide transmit coverage with high-resolution virtual-aperture reception, but simultaneous multi-beam synthesis requires mainlobe shaping, sidelobe control, and interference null...
Our purpose in this research is to develop a method to automatically and efficiently classify web images as Unified Modeling Language (UML) static diagrams, and to produce a computer tool that implements this function. The tool receives a bitmap file...
Freshwater is a precious resource, and shortages can lead to water stress, impacting agriculture, industry, and other sectors. Wastewater reuse is increasingly considered as an opportunity to meet the freshwater demand. Legislative frameworks are und...
The successes of the digital market depend on customers’ intentions to purchase and reuse products or services. Previous studies have extensively discussed customer shopping value and customer learning, but most studies have analyzed the influencing...
This paper takes jacket as an example, constructs a clothing knowledge model based on domain ontology, and explores ways to represent and reuse clothing knowledge in the context of the Internet economy. In this paper, jacket knowledge is sorted out b...
Robot software development can be considered as a component-driven process, and existing ROS components, such as an ROS node, can be reused to construct robot applications. By reusing the ROS node, the development process of robot software can be sig...
The present paper discusses extended reality (XR) applications specifically designed to enhance experiential location-based learning in outdoor spaces, which are utilized in the context of an environmental education program of the Education Center fo...
Cultural heritage drives and enables sustainable urban development. The adaptive reuse of cultural heritage creates values while prolonging the lifespan of heritage. Similarly, circular economy creates value while extending the useful life of materia...
Education is a complex and multidisciplinary field. Effective personalization in education is grounded in both educational theory and hybrid AI practice. Personalization is typically driven by explicit, structured knowledge; however, the effective au...
Knowledge management in construction health and safety is an intensive process involving different stakeholders. However, this domain’s information is still fragmented and stored in various disordered formats that require systematic structure f...
The success of disaster management efforts demands meaningful integration of data that is geographically dispersed and owned by stakeholders in various sectors. However, the difficulty in finding, accessing and reusing interoperable vocabularies to o...
Large insurance claims handling is a complex, knowledge-intensive process that requires the analysis of heterogeneous information sources and the reuse of past experience distributed across multiple organizational data sources. Consequently, a signif...
1 April 2009
Any e-organization, whether it is commercial or governmental, requires a knowledge management support in order to achieve optimal performance. Many of the technologies that serve the operations of such organizations can also support knowledge managem...
7 May 2025
Global water scarcity is becoming an increasingly critical issue; greywater reuse presents a promising solution to alleviate pressure on freshwater resources, particularly in arid and water-scarce regions. Greywater typically sourced from household a...
Public involvement is critical to the successful implementation of reclaimed water reuse programs. Based on the participatory research method, we studied the attitudes of the stakeholders who are involved in reclaimed water reuse in Beijing, China. R...
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