Minghao Sun

Oct 24, 2024 | cambridge.org | Li Shen |Chenghao Jiang |Minghao Sun |Fangting Weng

Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-10-24T08:16:39.223Z Has data issue: false hasContentIssue false Published online by Cambridge University Press: 24 October 2024 Li Shen [Opens in a new window] , Show author details Keywords Human brucellosisrisk predictionmachine learning techniquesimpact factors Type Original Paper Information Epidemiology & Infection , Volume 152 , 2024 , e132 Creative Commons This is an Open Access article, distributed under...

Sep 30, 2024 | amazon.science | Jin Shang |Chenghuan Guo |Minghao Sun |Yan Gao

In e-commerce recommender systems, providing product suggestions to customers that are often bought together, which is called “complementary recommendation,” not only improves customer experience but also boosts business impact. However, in practice, it is highly challenging to efficiently extract the complementary relations between the items due to noisy and low coverage of the co-purchased records in transaction datasets.

Jan 15, 2024 | preprints.org | Yong Lu |Minghao Sun

Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 13 January 2024 / Approved: 15 January 2024 / Online: 15 January 2024 (08:08:24 CET) Lu, Y.; Sun, M. SSE-YOLO: Efficient UAV Target Detection With Less Parameters and High Accuracy. Preprints 2024, 2024011108. https://doi.org/10.20944/preprints202401.1108.v1 Lu, Y.; Sun, M. SSE-YOLO: Efficient UAV Target Detection With Less Parameters and High Accuracy. Preprints 2024, 2024011108.