News Captioning involves generating the descriptions for news images based on the detailed content of related news articles. Given that these articles often contain extensive information not directly related to the image, captions may end up misaligned ...

This paper investigates a data-driven-based dynamic event-triggered control problem for continuous-time unknown nonlinear systems using the reinforcement learning method and the sliding-mode surface technique. Initially, by constructing a cost ...

Achieving matching constraints between various components is important in analog integrated circuit (IC) layout design, as it can reduce the impact of layout parasitics on the performance of IC. When automating analog integrated circuit layout ...

• A supervised learning framework is designed for constraint extraction.
• A heterogeneous multi-relationship graph is proposed to represent the topologies of circuits.
• Symmetry analysis algorithm can further optimize the constrain ...

It is essential for meeting the stringent real-time demands encountered in actual production scenarios. Employing the low computational complexity of recursive algorithms, some new schemes are developed for the parameter estimation of a class of ...

As spatial computing devices increasingly integrate eye-tracking technology to enhance virtual reality (VR) experiences, the imperative to protect sensitive eye-tracking data against privacy risks, such as user re-identification, has become more ...

This paper addresses the sliding-mode surface-based adaptive optimal nonzero-sum games control problem for continuous-time nonlinear systems with input constraints. By constructing a value function associated with the sliding-mode surface, the ...

For the problem of time-varying parameter estimation and its convergence, this paper proposes an invariant matrix to represent the changing laws of time-varying parameters, which suggests a novel expression to describe the parameters by employing ...

Knowledge-based Visual Question Answering (KB-VQA) aims to answer the image-aware question via the external knowledge, which requires an agent to not only understand images but also explicitly retrieve and integrate knowledge facts. Intuitively, to ...

In this article, we investigate the problem of event‐triggered distributed consensus control for a class of complex cyber‐physical systems (CPSs), where unknown backlash‐like hysteresis inputs and denial‐of‐service (DoS) attacks are considered ...

As the feature size of semiconductor technology shrinks to 7 nm and beyond, the multiple patterning lithography (MPL) attracts more attention from the industry. In this paper, we model the layout decomposition of MPL as a generalized graph ...

• Scalable multiple patterning layout decomposition framework by minimizing both the conflict number and the stitch number.
• Efficient metaheuristics for multiple patterning decomposition of layouts with varied settings of lithography ...

We propose a multicorner multistage timing analysis prediction framework using a generalized linear model with latent features. We then further improve such methods using kernel trick extension, transfer learning with knowledge from previous designs, and ...

Hepatocellular carcinoma (HCC) is associated with a high mortality rate, where resistance to immunotherapy and chemotherapy plays a crucial role. A newly identified form of cell death called disulfidptosis shows promise, but its biological ...

• A prognostic model was developed for disulfidptosis-related long non-coding RNAs (DRLs) to elevated immune infiltration and immune checkpoint gene expression.
• The novel DRL AC026412.3 promoted HCC cell proliferation and induced ...

In this article, an adaptive fuzzy bipartite formation tracking control strategy of nonlinear multiagent systems (MASs) is developed under a directed communication topology. Fuzzy logic systems are utilized to approximate the unknown nonlinear dynamics. ...

As the complexity of Integrated Circuits (ICs) rises, accurate routing and congestion prediction, crucial for identifying early design flaws, become essential to expedite circuit design and conserve resources in the lengthy physical design process. ...

As the prevailing copper interconnect technology advances to its fundamental physical limit, interconnect delay due to ever-increasing wire resistivity shows a significant impact on circuit performance. Bundled single-wall carbon nanotubes (SWCNTs) ...

Generating a realistic and semantically consistent image from a given text is a challenging task. Due to the limited information of natural language, it is difficult to generate vivid images with fine details. To address this problem, we propose ...

• We decompose the image into a superposition of several visual regions.
• We provide related prior knowledge as input to enhance the quality of each visual regions.
• We help establish the semantic mapping between the knowledge captions ...

In this work, based on the adaptive critic learning algorithms and fuzzy logic systems, the decentralized optimal control problem for interconnected nonlinear systems with unmodeled dynamics is investigated by applying a mixed data and event ...

Knowledge-based visual question answering (KBVQA) aims to retrieve the external knowledge out of images to answer questions. However, current methods always introduce various irrelevant knowledge due to two drawbacks: (1) Synonymy issue. Existing methods ...

With the increasing demand for Chinese cold chain logistics, accurate forecasting becomes significantly important for decision-making and planning, but the data scarcity is still a challenging problem for modeling method. This paper proposes a ...

This article focuses on the problem of resilient event-triggered <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> filtering for networked switched Takagi&#x2013;Sugeno (T-S) fuzzy systems in the presence of Denial-of-...