Results 201 to 210 of about 20,472 (253)
A game theoretic treatment of contagion in trade networks. [PDF]
McAlister JS +3 more
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Generating borderline test samples for randomness testers via intelligent optimization and evolutionary algorithms. [PDF]
Gao P, Zhang B, Wang Z, Li C.
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
On the min-entropy of equilibrium graphs in network creation games. [PDF]
Lin CC, Hung CC.
europepmc +1 more source
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
Bivalent impact of social networks on overarming: Insights on the alignment between social and individual interests. [PDF]
Fu F, Herron M, Rockmore D.
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Toward next-generation machine learning and deep learning for spatial omics. [PDF]
Zirem Y, Fournier I, Salzet M.
europepmc +1 more source

