Results 231 to 240 of about 3,906,906 (309)
Evolution of cooperation guided by the coexistence of imitation learning and reinforcement learning. [PDF]
Tang W, Wang G, Xing Z.
europepmc +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari+6 more
wiley +1 more source
SpatioMark: quantifying the impact of spatial proximity on cell phenotype. [PDF]
Iyengar SS+4 more
europepmc +1 more source
The model leverages patient time‐space information for pattern feature representations. Encoders extract first and second‐order features, aggregated with categorical embeddings and dense features. Task‐specific and shared experts use gated networks, with a dispatch layer routing information for diabetes risk evaluation and blood glucose prediction ...
Yingshuai Wang+8 more
wiley +1 more source
Utilizing Data Imbalance to Enhance Compound–Protein Interaction Prediction Models
This research paper introduces FilmCPI, a sequence‐based model for predicting compound–protein interactions. It uniquely leverages data imbalance between proteins and compounds to improve performance. FilmCPI outperforms baseline models across multiple datasets and demonstrates strong transferability to unseen protein families without increasing ...
Wei Lin, Chi Chung Alan Fung
wiley +1 more source
New bounds of the smoothing parameter for lattices. [PDF]
Guo H, Liu F, Wang L, Tian K.
europepmc +1 more source
Multi‐UAV systems face challenges in adversarial environments due to limited adaptability and interpretability. This study proposes a self‐organized approach using hierarchical probabilistic graphical models with density‐driven parameter estimation.
Yixin Huang+5 more
wiley +1 more source
Semi-Quenched Invariance Principle for the Random Lorentz Gas: Beyond the Boltzmann-Grad Limit. [PDF]
Tóth B.
europepmc +1 more source
A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations
A novel, semi‐automated deep learning and differential evolution pipeline designed for generating medicines for 3D‐printed medicines is introduced. This pipeline successfully generates a diverse range of drug formulations with an 80% printing success rate and 92% accuracy in predicting printing parameters.
Youssef Abdalla+8 more
wiley +1 more source