Abstract: In order to inspire future researches and practices regarding the use of Artificial Intelligence Generated Content (AIGC) in education, this study conducted a literature review on AIGC in ...

Abstract: Advanced deep-learning models have shown excellent performance in the task of fault-bearing diagnosis over traditional machine learning and signal-processing techniques. Few-shot learning ...

Abstract: Cluster analysis plays an indispensable role in machine learning and data mining. Learning a good data representation is crucial for clustering algorithms. Recently, deep clustering (DC), ...

Abstract: Masked image modeling (MIM) is a highly popular and effective self-supervised learning method for image understanding. The existing MIM-based methods mostly focus on spatial feature modeling ...

Abstract: Autonomous driving has achieved significant milestones in research and development over the last two decades. There is increasing interest in the field as the deployment of autonomous ...

Abstract: Recently, the multiscale problem in computer vision has gradually attracted people’s attention. This article focuses on multiscale representation for object detection and recognition, ...

Abstract: As information acquisition diversifies, data is acquired and stored in increasing modalities. However, sensor failures or equipment issues can lead to partial data loss in certain views, ...

Abstract: In smart communities, social media allowed users easy access to multimedia content. With recent advancements in computer vision and natural language processing, machine learning (ML), and ...

Abstract: In this article, a novel in-band and out-of-band low radar cross section (RCS) circularly polarized (CP) antenna array based on a hybrid mechanism of absorption and phase cancellation is ...

Abstract: The paddy agronomy in the Asia-pacific region has gained a prominent role in connection with the major rice production area in over the decades. The research aims to investigate the aerial ...

Abstract: Large Language Models (LLMs) recently demonstrated extraordinary capability in various natural language processing (NLP) tasks including language translation, text generation, question ...

Abstract: The radio communication division of the International Telecommunication Union (ITU-R) has recently adopted integrated sensing and communication (ISAC) among the key usage scenarios for ...