Leveraging large language models for word sense disambiguation DOI Creative Commons

Jung H. Yae,

Nolan C. Skelly,

Neil Ranly

и другие.

Neural Computing and Applications, Год журнала: 2024, Номер unknown

Опубликована: Дек. 19, 2024

Язык: Английский

Salience Feature Guided Decoupling Network for UAV Forests Flame Detection DOI

Dong Ren,

Zerui Wang, Hang Sun

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126414 - 126414

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
FireSeg: A weakly supervised fire segmentation framework via pre-trained latent diffusion models DOI
Wei Zhang, Hongtao Zheng, Weiran Li

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126852 - 126852

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Synthesize then align: Modality alignment augmentation for zero-shot image captioning with synthetic data DOI
Zhiyue Liu, Jinyuan Liu,

Xin Ling

и другие.

Knowledge-Based Systems, Год журнала: 2025, Номер unknown, С. 113274 - 113274

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
SegLD: Achieving universal, zero-shot and open-vocabulary segmentation through multimodal fusion via latent diffusion processes DOI
Hongtao Zheng, Yifei Ding, Zilong Wang

и другие.

Information Fusion, Год журнала: 2024, Номер 111, С. 102509 - 102509

Опубликована: Июнь 5, 2024

Язык: Английский

Процитировано

2
Diffusion-based diverse audio captioning with retrieval-guided Langevin dynamics DOI

Yonggang Zhu,

Aidong Men, Li Xiao

и другие.

Information Fusion, Год журнала: 2024, Номер 114, С. 102643 - 102643

Опубликована: Авг. 23, 2024

Язык: Английский

Процитировано

1
Quality Evaluation of Public Spaces in Traditional Villages: A Study Using Deep Learning and Panoramic Images DOI Creative Commons

Shiyu Meng,

Chenhui Liu,

Yuxi Zeng

и другие.

Land, Год журнала: 2024, Номер 13(10), С. 1584 - 1584

Опубликована: Сен. 29, 2024

In the context of rapid urbanization, public spaces in traditional villages face challenges such as material ageing, loss characteristics, and functional decline. The scientific objective assessment quality these is crucial for sustainable development villages. Panoramic images, an important source spatial data, combined with deep learning technology, can objectively quantify characteristics However, existing research has paid insufficient attention to evaluation at micro-scale, often relying on questionnaires interviews, which makes it difficult meet needs planning construction. This study constructs system villages, taking national-level Fangshan District Beijing example, based field research, using panoramic images automatically extract features a combination Analytic Hierarchy Process (AHP) Criteria Importance Through Intercriteria Correlation (CRITIC) methods determine weights indicators applying Technique Order Preference by Similarity Ideal Solution (TOPSIS) method evaluate found that Nanjiao Village Grade I; Shuiyu Liulinshui Village, III; Heilongguan IV there still much room improvement general. results match well public’s subjective perceptions, R2 value 0.832, proving constructed high degree accuracy. provides basis effective tool planning, design, management helps decision-makers better protect utilize them.

Язык: Английский

Процитировано

0
DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model DOI Creative Commons

Chen-Chi Liao,

Kairong Lin

Journal of Safety Science and Resilience, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

0
Leveraging large language models for word sense disambiguation DOI Creative Commons

Jung H. Yae,

Nolan C. Skelly,

Neil Ranly

и другие.

Neural Computing and Applications, Год журнала: 2024, Номер unknown

Опубликована: Дек. 19, 2024

Язык: Английский

Процитировано

0