Results 211 to 220 of about 42,084 (260)

Pearl's causality for integrating ecological datasets: A case study on Myricaria germanica in northern Italy

Applications in Plant Sciences, EarlyView.
Abstract Premise Applied ecology can significantly influence policy decisions on environmental issues. Therefore, research in this field should be as transparent and reproducible as possible. Existing expertise from a broad range of disciplines should also be integrated into ecological research to allow researchers to maximize understanding of complex ...
Kailin Weitkämper, Kilian Rückschloß, Tommaso Sitzia, Bruno Michielon, Silke Werth, Felix Weitkämper   +5 more
wiley   +1 more source

Explainable AI (XAI) for transparent resource allocation in public safety communications networks. [PDF]

Sci Rep
Alammar M, Al Ayidh A, Abbas M, Parayangat M.   +3 more
europepmc   +1 more source

Hybrid Physics-Informed and Bayesian Modeling of Single-Nanoparticle-Cell Adhesion Kinetics under Cytoskeletal Perturbation. [PDF]

Comput Struct Biotechnol J
Bettahar H, Santos HA, Zhou Q.
europepmc   +1 more source

Multi-Stage Robust Bayesian High-Resolution Identification of Asynchronous Blade Vibrations Using Blade Tip Timing. [PDF]

Entropy (Basel)
Zhang Q, Chen X.
europepmc   +1 more source

Cross-attention guided explainable deep transformer model for multi-level classification of rare neurological disorders using MRI images. [PDF]

Sci Rep
Veerlapalli P, Laxmi Lydia E, Radhika K, Surya Alekhya KRKN, Karim FK, Ishak MK, Mostafa SM.   +6 more
europepmc   +1 more source

A Precision Computational Framework for sLORETA Neurofeedback in Mild Cognitive Impairment: Integration of qEEG Biomarkers and Neuropsychological Metrics. [PDF]

Int J Environ Res Public Health
Dasilva V, Poli D, Pino O.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Bayesian compression for dynamically expandable networks

Pattern Recognition, 2022
Abstract This paper develops Bayesian Compression for Dynamically Expandable Network (BCDEN), which can learn a compact model structure with preserving the accuracy in a continual learning scenarios. Dynamically Expandable Network (DEN) is efficiently trained by performing selective retraining, dynamically expands network capacity with only the ...
Yang Yang 0072, Bo Chen 0001, Hongwei Liu 0001   +2 more
openaire   +1 more source

Dynamic Bayesian Networks

2021
Underground transportation systems are in great demand in many large cities all over the world. Tunnel construction has presented a powerful momentum for rapid economic development worldwide. However, owing to various risk factors in complex project environments, safety violations occur frequently in tunnel construction, leading to large problems on ...
Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski   +3 more
openaire   +1 more source

Reliability modelling and analysis of a multi-state element based on a dynamic Bayesian network [PDF]

Royal Society Open Science, 2018
Zhiqiang Li
exaly   +2 more sources