Results 141 to 150 of about 12,601 (295)
Comment on: Probabilities of conditionals: The relevance effect might be confounded by the existence of boundary cases (2025) by Zhan and Wang. [PDF]
Skovgaard-Olsen N, Klauer KC.
europepmc +1 more source
Comment on ‘Conditional Probabilities of Failures in Reservoir Operation for the Moran—Gould Model’ by C. Venetis [PDF]
V. Klemeš
openalex +1 more source
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
Bilingual Acquisition of Morphology: Norwegian and Russian Influence on Children's Sentence Repetition in Estonian. [PDF]
Vaks A, Vihman VA.
europepmc +1 more source
What would have happened? Counterfactuals, hypotheticals and causal judgements. [PDF]
Gerstenberg T.
europepmc +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Reasoning about possibilities: Modal logics, possible worlds, and mental models. [PDF]
Johnson-Laird PN, Ragni M.
europepmc +1 more source
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source

