Results 21 to 30 of about 5,018,820 (150)
The HGN‐MSP model addresses academic performance prediction challenges through multimodal graph learning with semantic alignment and modality balancing, achieving 0.896 AUC and 5.3% improvement over XGBoost in precisely identifying at‐risk students on a dataset of 19,856 students.
Jun Fan, Bin Chen, Byungwon Min, Tao Xie
wiley +1 more source
ABSTRACT The use of Land Use Land Cover (LULC) analysis is a fundamental requirement for urban solid waste management (SWM); however, conventional LULC analysis methods are not well suited to the spatio‐temporal variability, multi‐sensor heterogeneity, and seasonal variations of highly dynamic urban environments.
Rubeena Vohra, Ashish Kumar
wiley +1 more source
Abstract Single‐cell RNA sequencing (scRNA‐seq) has transformed the study of cellular heterogeneity by making it possible to classify individual cells and their functional states. However, the analysis remains difficult because high dropout rates lead to sparse and noisy expression data.
Shahriar Rahman Niloy +5 more
wiley +1 more source
Topological, Compositional, and Dynamic Information in Chemical Reaction Systems
Chemical reaction systems transform and organize information encoded in molecular structure, composition and environmental inputs. Reaction topology constrains how information propagates through a network, shaping both compositional outcomes and dynamic responses.
William E. Robinson
wiley +1 more source
Multi-Modal Enhancement Transformer Network for Skeleton-Based Human Interaction Recognition
Skeleton-based human interaction recognition is a challenging task in the field of vision and image processing. Graph Convolutional Networks (GCNs) achieved remarkable performance by modeling the human skeleton as a topology.
Qianshuo Hu, Haijun Liu
doaj +1 more source
Metric spaces with small rough angles and the rectifiability of rough self‐contracted curves
Abstract The small rough angle (SRA$\operatorname{SRA}$) condition, introduced by Zolotov in arXiv:1804.00234, captures the idea that all angles formed by triples of points in a metric space are small. In the first part of the paper, we develop the theory of metric spaces (X,d)$(X,d)$ satisfying the SRA(α)$\operatorname{SRA}(\alpha)$ condition for some
Estibalitz Durand Cartagena +1 more
wiley +1 more source
Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen +3 more
wiley +1 more source
ABSTRACT As an attestation engagement, auditing is required to provide reasonable assurance for its conclusions. Traditional auditing has limited capacity to handle unstructured data and is usually based on audit sampling techniques, which can lead to the neglect of important audit evidence during the auditing process and result in a higher audit risk,
Xiaojia Wang, Ziqing Luo, Chaoxu Mu
wiley +1 more source
Self-complementary hypergraphs [PDF]
In this thesis, we survey the current research into self-complementary hypergraphs, and present several new results. We characterize the cycle type of the permutations on n elements with order equal to a power of 2 which are k-complementing.
Gosselin, Shonda
core
A survey of the use of complementary medicine by a self-selected community group of Australian women with polycystic ovary syndrome [PDF]
Polycystic ovary syndrome (PCOS) is a complex reproductive endocrinopathy affecting up to 20% of reproductive aged women. Whilst there are effective pharmaceutical treatment options, women with PCOS have expressed a strong desire for alternatives.
Caroline Anne Smith +7 more
core +2 more sources

