S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
Manual annotation based sentiment analysis of user feedback in health and wellness app reviews. [PDF]
Varghese L +4 more
europepmc +1 more source
Feature-Enhanced Multi-Task Learning for Speech Emotion Recognition Using Decision Trees and LSTM [PDF]
Chunhui Wang, Xizhong Shen
openalex +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
Machine learning framework for predicting the shear capacity of demountable bolted connectors in composite beams. [PDF]
Saleh AI +4 more
europepmc +1 more source
Multiple fairness criteria in decision tree learning
Meryem Bagriacik, Fernando E.B. Otero
openaire +1 more source
In situ observation of VLS growth in a confined microreactor reveals various growth modes of monolayer TMDCs, including abnormal ribbon growth and particle‐driven growth. The confined space and precursor balance influence droplet behavior and growth dynamics, offering new insights into the controlled synthesis of TMDCs via the VLS mechanism.
Hiroo Suzuki +6 more
wiley +1 more source
Clinical prediction models for post-stroke depression: a systematic review and meta-analysis. [PDF]
Wu H +5 more
europepmc +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Construction of the prediction model and analysis of key winning factors in world women's volleyball using gradient boosting decision tree. [PDF]
Ming Z, Jin Z.
europepmc +1 more source

