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Activation function, one of the most critical components in deep learning, enables the artificial neural networks to learn complex patterns through nonlinearity. Currently, element-wise activation functions such as ReLU are widely utilized ...

Online labor platforms widely implement algorithmic control to ensure that workers consistently deliver quality services. However, extensive evidence suggests that platform workers under the tight monitoring of algorithms still engage in customer-...

• Tight algorithmic control drives platform workers into an ego-depleted state.
• Ego depletion mediates the facilitating influence of algorithmic control on workers' customer-directed deviant behavior.
• Low algorithmic transparency ...

In the realm of automated driving, automated valet parking (AVP) systems represent a significant leap towards enhancing urban mobility and safety. While existing research has explored various aspects of AVP systems, there is a notable gap in the ...

Forensic pathology is critical in analyzing death manner and time from the microscopic aspect to assist in the establishment of reliable factual bases for criminal investigation. In practice, even the manual differentiation between different ...

Although latent hazard notification for highly automated driving is expected to enhance traffic safety, its practical effects have yet to be verified. This study systemically investigated the expected safety benefits and driver behavioral adaptation based ...

• We point out that higher-order information is neglected in dynamic graph methods and propose a new idea to obtain this information flexibly and easily by pre-...

Graph data is an important data type for representing the relationships between individuals, and many research works are conducted based on graph data. In the real-world, graph data usually contain rich time information, giving rise to ...

For highly automated vehicles, effective take-over performance measures are essential for establishing quantitative take-over models and exploring approaches to improve take-over performance. However, there is a lack of comprehensive take-over performance ...

Human-Machine Interface (HMI) has its effectiveness for Level 3 automated vehicles in delivering messages from the automation system to drivers in the cabin, especially messages related to takeover. The present study aimed to compare single stage HMI ...

Classic detectors divide the candidate boxes into positive and negative groups based on their intersection-over-union (IoU) with matched objects. Such a sharp label assignment method does not directly consider the distance between the ...

In the last decades, numerous optimization-based methods have been proposed for solving classification problems in pattern recognition. These methods mainly construct a straight line or a hyperplane to separate a given data set to be two classes. In this ...

A novel model based on nonlinear integrals is developed for the foreground and background detection. The nonlinear integral based on fuzzy measures, or its generalization, efficiency measure, is modeled as an aggregation tool to fuse the texture ...

Compared to the classification model based on single Choquet integrals, a novel generalized nonlinear classification model based on cross-oriented Choquet integrals is presented. A couple of Choquet integrals are used to achieve the classification ...

There are different nonlinear integrals that could be used as an aggregation tool in information fusion and data mining. The Choquet integral with respect to fuzzy measures is one of them. We present some methods to identify fuzzy measures based on the ...

A generalized nonlinear classification model based on cross-oriented Choquet integrals is presented. A couple of Choquet integrals are used in this model to achieve the classification boundaries which can classify data in such situation as one class ...

A new nonlinear multiregression model based on a pair of extreme nonlinear integrals, upper and lower nonlinear integrals with respect to signed fuzzy measure, is established in this paper. A data set with the predictive features and the relevant ...

This study uses content analysis to analyze 158 papers concerning employees' turnover from 2001 to 2011 in China. We analyzes the papers by: (1)the distribution of papers by years, (2)research methods/perspectives, (3)level of analysis, (4)topics of ...

Signed efficiency measures with relevant nonlinear integrals can be used to treat data that have strong interaction among contributions from various attributes towards a certain objective attribute. The Choquet integral is the most common nonlinear ...

A detailed discussion on contributions from feature attributes to the classifying attribute in the nonlinear classification model based on the Choquet integral is given in this paper. The work provides a new understanding to the geometric structure of ...

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target ...

This paper proposes a new nonlinear classifier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification accuracy and power by capturing all possible interactions among two or more attributes. This generalized ...