LC-FPN structure. حسب Daoze Tang (20454615)

"…To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. …"

Labeling information of the VisDrone dataset. حسب Daoze Tang (20454615)

"…To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. …"

Differences between models of different scales. حسب Daoze Tang (20454615)

"…To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. …"

LFERELAN structure. حسب Daoze Tang (20454615)

"…To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. …"

The experimental environment. حسب Daoze Tang (20454615)

"…To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. …"

LCFF-Net network structure. حسب Daoze Tang (20454615)

"…To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. …"

LDSCD-Head structure. حسب Daoze Tang (20454615)

"…To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. …"

Ablation experiment result on VisDrone-val. حسب Daoze Tang (20454615)

"…To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. …"

The key parameter configurations. حسب Daoze Tang (20454615)

"…To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. …"

LR-NET structure. حسب Daoze Tang (20454615)

"…To address these issues, we propose an improved, lightweight algorithm: LCFF-Net. First, we propose the LFERELAN module, designed to enhance the extraction of tiny target features and optimize the use of computational resources. …"

Datasets used in the study area. حسب Zhen Zhao (159931)

"…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"

Evaluation of the improved random forest model. حسب Zhen Zhao (159931)

"…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"

Comparison of model metrics. حسب Zhen Zhao (159931)

"…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"

Flowchart of population spatialization. حسب Zhen Zhao (159931)

"…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"

Embedding Learning حسب Ben Dai (8221188)

"…In this article, we introduce a novel framework of embedding learning to deliver a higher learning accuracy than the two-stage method while identifying an optimal learning-adaptive embedding. …"

DataSheet1_Attenuating coherent environmental noise in seismic data via the U-net method.pdf حسب Yu-Tai Wu (14584727)

"…Then, a back-propagation algorithm minimized the Euclidean norm cost function to optimize the network parameters for better performance. …"

DataSheet1_A dynamic game model for assessing risk of coordinated physical-cyber attacks in an AC/DC hybrid transmission system.docx حسب Xuecheng Liu (376869)

"…Regarding the probability of a successful attack, it depends on the number of funds invested by both attacker and defender sides considering the marginal effect, while the corresponding load loss caused depends on the cyber attack vector and the optimal load shedding scheme. …"

Reducing NOx Emissions in Pyrolysis Machines for Biochar Production: A machine learning approach حسب Marius Köppel (14582693)

"…<br> In this talk, we will present a novel approach for minimizing NOx emissions using machine<br> learning and constraint optimization techniques.<br> We will first discuss the challenges of finding the optimal working points for a pyrolysis<br> machine, which can be a time-consuming and expert-driven process.…"

Active Learning Accelerated Discovery of Stable Iridium Oxide Polymorphs for the Oxygen Evolution Reaction حسب Raul A. Flores (2910539)

"…Understanding the relationship between a material’s structure and functionality is an important step in the process, such that viable polymorphs for a given chemical composition need to be identified. …"

Buffer management of critical chain projects based on activity dimension differences حسب Junguang Zhang (21404768)

"…However, existing buffer management approaches primarily consider project attributes while neglecting variations in activity dimension attribute differences, making it difficult to address the differentiated buffering needs among activities and ultimately hindering overall project utility optimization. …"