This study presents CORE-ReID V2, an enhanced framework building upon
CORE-ReID. The new framework extends its predecessor by addressing Unsupervised
Domain Adaptation (UDA) challenges in Person ReID and Vehicle ReID, with
further applicability to ... read more
In recent years, large language models (LLMs) have excelled in natural
language processing tasks but face significant challenges in complex reasoning
tasks such as mathematical reasoning and code generation. To address these
limitations, we propose... read more
Large Language Models (LLMs) are a double-edged sword capable of generating
harmful misinformation -- inadvertently, or when prompted by "jailbreak"
attacks that attempt to produce malicious outputs. LLMs could, with additional
research, be used to... read more
OBJECTIVE: Detection of seizures and rhythmic or periodic patterns (SRPPs) on electroencephalography (EEG) is crucial for the diagnosis and management of patients with neurological critical illness. Although automated detection methods are advancing,... read more
Recent studies have revealed that vision models pre-trained on images can
perform well in time series forecasting by reformulating forecasting as an
image reconstruction task, suggesting their potential as universal time series
foundation models. H... read more
As black-box AI-driven decision-making systems become increasingly widespread
in modern document processing workflows, improving their transparency and
reliability has become critical, especially in high-stakes applications where
biases or spurious... read more
Steel defect detection is a crucial aspect of steel production and quality control. Therefore, focusing on small-scale defects in complex production environments remains a critical challenge. To address this issue, we propose an innovative perception... read more
This paper presents a method for optimizing the sliding mode control (SMC)
parameter for a robot manipulator applying a genetic algorithm (GA). The
objective of the SMC is to achieve precise and consistent tracking of the
trajectory of the robot ma... read more
Journal of the American Chemical Society
Aug 6, 2025
Neural network computation is a cornerstone of modern artificial intelligence, with electronic software-based approaches achieving widespread success due to their ability to enable continuous, iterative learning on the same platform. DNA-based neural... read more
The presence of Non-Line-of-Sight (NLoS) blind spots resulting from roadside
parking in urban environments poses a significant challenge to road safety,
particularly due to the sudden emergence of pedestrians. mmWave technology
leverages diffractio... read more
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