Search Results

In order to understand the indoor energy-saving strategy optimization method of DDPG algorithm in air conditioning and heating system. Systems, this study proposes an indoor energy-saving strategy optimization method based on deep reinforcement ...

Higher education administration is crucial for future development but less evaluated. Faculty performance in colleges and universities plays a key role in administration. This paper is based on simulated annealing algorithm to optimize the administrative ...

The problem of fixed-time synchronization (FXS) for an assortment of discontinuous proportional delay inertial neural networks (DPDINNs) with uncertain parameters is addressed in this research. Through the utilization of fixed-time stability ...

Restoring the color of the 3D human body is a critical issue when reconstructing a 3D human body model from a single-view image. Nonetheless, previous methods have not made use of the reconstructed 3D human body features to aid color restoration, ...

The risk of malicious deep synthesis lurks in hedonic applications, yet people tend to be ethically tolerant, leaving governance in a quandary. This study explores the reason for this from the perspective of moral judgment and finds that hedonic ...

In the exploration of human–machine collaborative scoring of subjective assignment (HMCSSA) problems, it is crucial to note that the workloads assigned to humans and machines are determined by thresholds at various levels of granularity within ...

• Build a three-phase framework for threshold optimization and scheme decision making.
• Design a threshold optimization model to balance human cost and scoring fairness.
• Conduct numerical experiments to solve optimization model using ...

Understanding preferences surrounding artificial intelligence (AI) and human teaching assistants (TAs) helps managers improve AI TAs, effectively deploying AI and human TAs, and providing better services to learners. The literature has explored ...

This paper studies the consensus tracking problem for a class of general linear hybrid multi-agent systems via a model-free approach. The hybrid multi-agent system is composed of N followers with discrete-time or continuous-time linear dynamics ...

In order to solve the problem of detecting various types of complex fabric defects such as different scale sizes, high fusion with the background and extreme aspect ratios generated in actual production environment, this paper proposes a defect ...

Virtual try-on based on two-dimensional image refers to trying on the target clothing on a human image to generate the final fitting image. In order to solve the problems of blurred human images, body parts missing and clothing cannot be correctly ...

Sub-6 GHz assisted millimeter wave (mmWave) technology is a promising solution to address the ever-increasing data exchange demand in Vehicle-to-Everything (V2X) communication. The omni-directional sub-6 GHz channels exchange vehicle ...

Automated scoring of subjective assignments (ASSA), one of the most representative applications in the field of artificial intelligence in education, is the process of scoring and assessing essays with the aid of natural language ...

• Assignment scoring using human–machine collaboration can improve score prediction.

Smart contracts are distributed self‐enforcing programs which execute on top of blockchain networks. They have the potential to revolutionize many industries and have already been adopted for applications such as distributed finance and ...

sFuzz2.0 is motivated by the fact that certain vulnerabilities only manifest in the presence of certain function call sequences (as well as particular arguments). sFuzz2.0 tackles the problem with two sequence generation strategies, that is, by ...

In order to solve the problems of various kinds of defects, defect ratio varies greatly, imbalanced defect aspect ratio and high integration degree with background in fabric defect detection, a method combining super-resolution reconstruction ...

The beneficial aspects of deep synthesis applications are evident in innovations like virtual anchors, film post-production, and virtual fitting. However, this technology also has malicious applications that present ethical challenges, ...

• Ethical principles' configurations lead to the acceptance of deep synthesis applications.

Social commerce has significantly enlarged consumer power through the convenience of posting and accessing online customer reviews. While positive comments may help to boost an online retailer’s reputation, the visibility of negative comments may ...

With the development of the social economy, people are paying more and more attention to decorative effects and the comfort and individual characteristics of decoration. To meet the increasingly high requirements of customers, many restaurants have begun ...

Federated learning (FL) is a promising machine learning paradigm because it allows distributed edge devices to collaboratively train a model without sharing their raw data. In practice, a major challenge to FL is that edge devices are heterogeneous, so ...

This paper studies the design of distributed adaptive event-triggered control strategies with positive minimum inter-event times for linear multi-agent systems. To present our design idea, this paper focuses on the consensus problem of ...

Advances of unmanned aircraft system (UAS) technology have spurred a rapid investment of commercial UAS use in broad public domains, such as cargo transport, agriculture support, emergency response, on-demand communication, and infrastructure health ...