Search Results

In two-phase flow, accurately capturing sharp interfaces is essential. Physics-Informed Neural Networks (PINNs) provide a new way to capture interfaces. This paper introduces a new framework that uses Discrete-time Physics-Informed Neural Networks (...

Digital storytelling, essential in entertainment, education, and marketing, faces challenges in generation efficiency. The StoryAgent framework, introduced in this paper, utilizes Large Language Models and generative tools to automate and refine digital ...

The First International Workshop on Multimedia Computing for Health and Medicine is part of the ACM International Conference on Multimedia 2024 (ACM Multimedia 2024). In health and medicine, an immense amount of data is being generated by distributed ...

It is our great pleasure to welcome you to The 1st International Workshop on Multimedia Computing for Health and Medicine MCHM '24. This year we created the first international workshop on multimedia computing for health and medicine, a premier forum for ...

Mobile charging is feasible to deal with the energy-constrained problem in wireless rechargeable sensor networks (WRSNs). The mobile chargers (MCs) are usually employed to charge the sensors sequentially according to the charging schemes. ...

The overset grid method is widely employed to solve moving boundary problems in numerical simulations. However, the heavy and inevitable communication resulting from boundary movements severely impedes the improvement of parallel efficiency. This paper ...

This paper proposes a novel SPICE model for capturing the I–V and C–V characteristics and the switching waveforms of shorted-anode lateral insulated-gate bipolar transistor (SA-LIGBT). Due to the absence of the description of the shorted-anode ...

• Analytical method is developed for forced vibration of plates with part through surface cracks.
• Wave propagation framework is developed for cracked plate for the first time.
• Classical and refined line–spring models of all-over and ...

An analytical wave propagation framework is developed in this study for steady state forced vibration of plates with part through surface cracks for the first time. Rectangular thin plates with partial-width and full-width cracks are considered. ...

Bridging the gap between diffusion models and human preferences is crucial for their integration into practical generative workflows. While optimizing downstream reward models has emerged as a promising alignment strategy, concerns arise regarding the ...

This paper tackles the emerging challenge of training generative models within a self-consuming loop, wherein successive generations of models are recursively trained on mixtures of real and synthetic data from previous generations. We construct a ...

Acoustic-based diagnosis (ABD) is a promising method for rotating machinery fault detection in real-industrial fields due to its advantage of non-contact measurement by air-couple. However, most ABD methods, which rely on single function module ...

• Design RMHSA for multi-channel noise suppression.
• Explore SMHSA against residual noise.
• Develop two-stage ABD system for noise conditions.

Display Omitted

• We propose a novel decoupled Image and Frequency-domain Spatial-Spectral Framework.
• The proposed module extracts multi-scale features from dual domains.
• A module can transfer the advantages of convolution to the transformer.
• ...

Hyperspectral image classification (HSIC) is a rapidly developing field that utilizes deep learning methods. However, the reliance on convolutional neural networks (CNNs) for spectral–spatial feature extraction presents certain limitations. ...

This paper considers the regularization continuation method and the trust-region updating strategy for the nonlinearly equality-constrained optimization problem. Namely, it uses the inverse of the regularization quasi-Newton matrix as the pre-...

The global minimum point of an optimization problem is of interest in engineering fields and it is difficult to solve, especially for a nonconvex large-scale optimization problem. In this article, we consider a new memetic algorithm for this ...

In this paper, we address the problem of unsuperised social network embedding, which aims to embed network nodes, including node attributes, into a latent low dimensional space. In recent methods, the fusion mechanism of node attributes and ...

In smart transportation systems, obtaining timely and accurate information about the location, speed, category, and shape of traffic targets requires more than what a single sensor can offer. This shortfall has prompted increased attention and rapid ...

Unharvested upright maize straw is highly susceptible to burning in winter or in spring of the following year, contributing significantly to air pollution. The rapid and accurate acquisition of the spatial distribution of upright maize straw ...

Many real-world networks can be represented as weighted graphs, where weights represent the closeness or importance of relationships between node pairs. Sharing these graphs is beneficial for many applications while potentially leading to privacy ...

The goal of privacy-preserving social graph release is to protect individual privacy while preserving data utility. Community structure, which is an important global pattern of nodes, is a crucial data utility as it is fundamental to many graph ...

Conversational recommendation systems (CRS) enable the traditional recommender systems to obtain dynamic user preferences with interactive conversations. Although CRS has shown success in generating recommendation lists based on user’s preferences,...