Building on this, we have developed an Adaptive Neuro-fuzzy Inference System (ANFIS) structure utilizing global Bayesian optimization and grid partitioning (GP), which integrates the advantages of ...

From a tiny sample of tissue no larger than a grain of sand, scientists have come within reach of a goal once thought unattainable: building a complete functional wiring diagram of a portion of the ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

The Interactive Dynamic Bayesian Network (IDBN) and the Transformer are used to establish the connections among vehicle interaction, lanechanging intentions and trajectories. Initially, the intentions ...

This non-clinical guidance for 2025/26 provides supporting information for commissioners and practices. It does not take precedence over the Network Contract DES Specification.

16 suitable variables were selected to construct a Bayesian network model. Results: The area under the curve of the unsegmented-syllabic, monosyllabic, dissyllabic, and multisyllabic training models ...

M. et al. (2024). “Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis”. arXiv:2401.12640. Phillippo, D. M.

In addition, Connexin has holds the £58.6m (state aid funded) Project Gigabit contract for rural parts of Nottinghamshire and West Lincolnshire (Lot 10), which aims to expand their full fibre (FTTP) ...