As the core link of the “Internet + Recycling” process, the value identification of the sorting center is a great challenge due to its small and imbalanced data set. This paper utilizes transfer fuzzy c-means to improve the value assessme...
The accurate identification of Very Fast Transient Overvoltage (VFTO) is the key of overvoltage control in modern smart grids. In order to accurately identify VFTO generated by the operation of a disconnector in Gas Insulated Substation (GIS), a VFTO...
Social identity approaches suggest that people favour ingroup members, yet ingroup favouritism does not necessarily translate into outgroup derogation. Using a sample of Croatian majority-group youth from a nationally and religiously homogeneous pre-...
As optical networks evolve towards flexibility and heterogeneity, various modulation formats are used to match different bandwidth requirements and channel conditions. For correct reception and efficient compensation, modulation format identification...
Ethical leadership is crucial for cultivating a committed and engaged workforce, but the specific psychological processes behind this link are not fully understood. Drawing on social learning and relational identity theories, we propose a multi-stage...
Much research has focused on classification within a closed set of emitters, while emitters outside this closed set are misclassified. This paper proposes an open-set recognition model based on prototypical networks and extreme value theory to solve...
The conservation and sustainable tourism development of natural World Heritage has been one of the most challenging topics worldwide. One topic based on the identification of sites’ outstanding universal value is gradually forming a trend. Aest...
Recent efforts on the decarbonization, autonomy, and safety of the maritime vehicles required comprehensive analyses and prediction of the behavior of the existing vessels and prospective adaptations. To predict the performance of vessels, a better u...
With the deepening of cultural heritage conservation concepts, the preservation and revitalization of former residences of historical figures face challenges such as one-dimensional value recognition and imbalanced resource allocation. It is therefor...
29 May 2022
The purpose of the present study is to examine the effects of team level Corporate Social Responsibility (CSR) promotion climate on work happiness of team members. Furthermore, we investigate the mediating role of organizational identification at ind...
The axle box bearing is one of the core rotating components in high-speed trains, having served in complex working conditions for a long time. With the fault feature extraction of the vibration signal, the noise interference caused by the interaction...
In order to identify various kinds of combined power quality disturbances, the singular value decomposition (SVD) and the improved total least squares-estimation of signal parameters via rotational invariance techniques (TLS-ESPRIT) are combined as t...
In the work reported in this paper, a lost-in-space star pattern identification algorithm for agile spacecraft was studied. Generally, the operation of a star tracker is known to exhibit serious degradation or even failure during fast attitude maneuv...
With the help of specific emitter identification (SEI), the control efficiency of the satellite communication systems can be effectively improved by discriminating the individual satellite. In recent years, deep learning has been introduced into SEI...
With the improvement of people’s material conditions and the change of their values, sports consumption has shifted from hedonistic consumption, which simply pursues pleasurable experiences, to meaningful consumption, which seeks self-growth an...
This study investigated the fans’ knowledge of team social responsibility (TSR) as well as the motivation and intentions associated with TSR. Other correlates included in the conceptual model are the fans’ value orientation of universalis...
Specific emitter identification (SEI) refers to distinguishing emitters using individual features extracted from wireless signals. The current SEI methods have proven to be accurate in tackling large labeled data sets at a high signal-to-noise ratio...
With the rapid advancement of artificial intelligence, the deployment of social robots has significantly broadened, extending into diverse fields such as education, medical services, and business. Despite this expansive growth, there remains a notabl...
Marine (blue) biotechnology is an emerging field enabling the valorization of new products and processes with massive potential for innovation and economic growth. In the Mediterranean region, this innovation potential is not exploited as well as in...
We consider a risk-aware multi-armed bandit framework with the goal of avoiding catastrophic risk. Such a framework has multiple applications in financial risk management. We introduce a new conditional value-at-risk (CVaR) estimation procedure combi...
In the context of a new wave of scientific and technological revolution and industrial transformation, this study proposes an emerging technology identification framework that integrates a High-Value Patent Knowledge Graph with Social Network Analysi...
The Penicillium genus exhibits a broad global distribution and holds substantial economic value in sectors including agriculture, industry, and medicine. Particularly in agriculture, Penicillium species significantly impact plants, causing diseases a...
Maximum power transfer tracking (MPTT) is meant to track the maximum power point during the system operation of wireless power transfer (WPT) systems. Traditionally, MPTT is achieved by impedance matching at the secondary side when the load resistanc...
The purpose of this research is to examine the impact of online communities on online community engagement and word-of-mouth intention. The current research model was extended and developed into a theoretical model that conceptualizes the relationshi...
Green innovation in the manufacturing industry has been widely recognized. Although green innovation can create economic, social, and ecological value, it is also a high-risk activity. We must facilitate and protect the value of green innovation thro...
This study examines how the notion of value is defined, recognised, and operationalised within the four main approaches to cultural heritage preservation: the material-based, value-based, living heritage, and historic urban landscape approaches. Posi...
Network civilization is a product of the rapid development of the virtual world. This study aims to investigate the psychological structure of college students’ network civilization and to explore the role of value judgment and value identifica...
Employer branding research has predominantly concentrated on cultivating a favorable image for prospective job applicants, with limited exploration of its effects on current employees. This study investigates how employer branding shapes the attitude...
Influenced by the rapid development of artificial intelligence, the identification of chaotic systems with intelligent optimization algorithms has received widespread attention in recent years. This paper focuses on the intelligent information identi...
This work provides a novel approach to the corporate social responsibility (CSR) concept and to CSR activities, using social capital as the driver of consumer citizenship behavior in the sharing economy business system. An online consumer questionnai...
This study examined whether participation in green activities affects the green purchase intention, team identification, and subjective well-being of sports fans through green value cocreation. In addition, this study explored the mediating role of t...
Nowadays, numerous companies present themselves on social networking sites (SNSs) by establishing brand communities to maintain continuous interaction with existing and potential customers to influence their brand choices, promote the products and se...
Electrocardiogram (ECG) signal identification technology is rapidly replacing traditional fingerprint, face, iris and other recognition technologies, avoiding the vulnerability of traditional recognition technologies. This paper proposes an ECG signa...
Existing material identification for loose particles inside sealed relays focuses on the selection and optimization of classification algorithms, which ignores the features in the material dataset. In this paper, we propose a feature optimization met...
Online knowledge platforms have been undergoing a transformation from providing free knowledge to online paid knowledge (OPK). As customers play a key role in the sustainable development and success of the new business model, we focused on the factor...
The pursuit of gender equality and inclusive societies—key goals of the United Nations 2030 Agenda—depends in part on public alignment with feminist movements. This study examines associations between ideological beliefs, gender identity...
The utilization of user privacy data in the health data tracking system (HDTS) offers numerous benefits for businesses and public services, contingent upon users’ privacy sharing intentions. However, previous research neglected users’ pre...
Signal identification is of great interest for various applications such as spectrum sharing and interference management. A typical signal identification system can be divided into two steps. A feature vector is first extracted from the received sign...
The paper aims to identify, characterize, and determine the method of managerial activities in the value creation process for buyers and suppliers with the subsequent determination of their significance. The study employs a hybrid methodology combini...
Relevant others (e.g., fellow group members) influence how goals and goal-directed behaviors are construed and valued. In turn, according to the “expectancy × value” model of motivated behavioral choice, people engage in goal-directed behaviors when...
Regional collision risk identification and prediction is important for traffic surveillance in maritime transportation. This study proposes a framework of real-time prediction for regional collision risk by combining Density-Based Spatial Clustering...
It is critical for the safety monitoring of highway bridges that beam bridge damage can be identified from the dynamic response of passing vehicles. Numerical simulations of passing vehicles were conducted utilizing the vehicle–bridge coupling...
Online prediction of maneuvering target trajectory is one of the most popular research directions at present. Specifically, the primary factors balancing, between prediction accuracy and response time, will give the research substance. This paper pre...
The potential of a new algorithm for comparing experimental and reference values of gas chromatographic retention indices (RIs) is discussed. This algorithm is designed to minimize significant elements of uncertainty typical of numerous contemporary...
This paper describes the multilayer voting algorithm, a novel autonomous star identification method for spacecraft attitude determination. The proposed algorithm includes two processes: an initial match process and a verification process. In the init...
20 October 2026
This study examines how customer-to-customer interaction quality shapes customer value co-creation behavior in live streaming commerce through perceived co-viewer community support and normative community pressure, contingent on co-viewer group ident...
The new type of multi-airbag hybrid airship is a novel lighter-than-air platform, but its flexible structures pose challenges for accurate modal parameter identification under complex fluid-structure interaction. Traditional methods often fail to cap...
In China, as statutory non-cultural relic buildings, the conservation and reuse of historic buildings have received increasing attention in recent years. Among them, the investigation and value evaluation of historic buildings are the basis and core...
Nonlinear identification problems for evolution differential equations, solved with respect to the highest-order Dzhrbashyan–Nersesyan fractional derivative, are studied. An equation of the considered class contains a linear unbounded operator,...
Underground heritage represents a hidden urban resource for cultural regeneration and sustainable tourism, preserving historical layers, wartime memory, and local identity. Positioning the shelters as a form of Underground Built Heritage (UBH), this...
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