Most papers are machine-translated to English; some are originally in English.
Showing 11 of 11 papers in Computer Application Technology
The advent of large language models represents a new revolution in information technology, and their application will bring new vitality to various industries. This paper focuses on the application of large models in the maritime field, proposing the application prospects as well as the risks and ch…
This study aims to construct a unified, systematic, and referable knowledge framework for the annotation of art image datasets, addressing the issues of ambiguous definitions and inconsistent results caused by the lack of common standards during the annotation process. To achieve this goal, based on…
Systematically excavating strategies with long-term evolutionary advantages in multi-agent systems constitutes a pivotal challenge in evolutionary game theory, complex systems science, and artificial intelligence research. This paper proposes and implements a unified strategy search framework—AI4Gam…
Safety early warning and optimal dispatching of hydropower systems rely on efficient analysis of long-term high-precision time-series monitoring data (such as minute-level dam water levels, inflow rates, etc.). However, existing monitoring modes still primarily rely on manual retrieval, suffering fr…
Brain-computer interfaces (BCIs) establish direct communication channels between the human brain and external devices, enabling not only novel human-computer interaction paradigms but also providing an important technological foundation for innovative clinical treatments. BCI decoding methods can be…
This paper comprehensively surveys the evolutionary trajectory, technical principles, market applications, development trends, and challenges confronting reconfigurable chip technology. With the rapid advancement of information technology, emerging technologies have imposed increasingly stringent de…
Fractal image decoding has been effectively accelerated by using the range-averaged image (RAI) as the initial image in decoding process, and only one iteration is needed to obtain the decoded image quality with acceptable quality. To further improve the decoded image quality while maintaining real-…
Mathematical reasoning presents a significant challenge for Large Language Models (LLMs) as it requires ensuring the correctness of each reasoning step. Researchers have been strengthening the mathematical reasoning abilities of LLMs through supervised fine-tuning, but due to the inability to suppre…
Objective: With the development of internet big data and machine learning methods, an increasing number of studies combine text analysis and machine learning to predict satisfaction. In research on building life satisfaction prediction models, to address the challenge of obtaining large amounts of e…
Until now, image quality assessment has not addressed color issues. The literature on image quality assessment primarily evaluates the degree of degradation (deterioration) of image quality during image processing procedures such as compression and transmission. A planar image is essentially a two-d…
In self-service baggage check-in and sorting for civil aviation, automatically detecting whether pallets are added to self-dropped baggage is an essential function; however, the pallets are largely obscured by the embedded baggage, which poses a challenging problem. To address this issue, a fast det…
