Results 171 to 180 of about 226,897 (274)
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source
Molecular-level protein semantic learning via structure-aware coarse-grained language modeling. [PDF]
Zhang J, Weng X, Zhu T, Liu Y, Zhu Z.
europepmc +1 more source
Abstract Last year, we challenged the view that large‐bodied theropod dinosaurs such as Tyrannosaurus rex resembled primates in cognition and behavior, a proposition made by Herculano‐Houzel in 2023. More recently, Jensen et al. have criticized our work on this topic, raising methodological and conceptual issues.
Kai R. Caspar +5 more
wiley +1 more source
CVMFusion: ConvNeXtV2 and Visual Mamba Fusion for Remote Sensing Segmentation. [PDF]
Wang Z +6 more
europepmc +1 more source
MAFMamba: A Multi-Scale Adaptive Fusion Network for Semantic Segmentation of High-Resolution Remote Sensing Images. [PDF]
Li B, Yang X, Fan Y.
europepmc +1 more source
Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto +2 more
wiley +1 more source
Research on multi-source data fusion and high-precision mapping method for complex landforms based on computer vision. [PDF]
Yang A.
europepmc +1 more source
Abstract Aspect‐Based Sentiment Analysis (ABSA) has evolved from textual analysis to a multimodal paradigm, integrating visual information to capture nuanced sentiments. Despite advancements, existing Multimodal ABSA (MABSA) research remains limited in granularity, which focuses on either coarse‐level categories or named entities, neglecting fine ...
Li Yang +3 more
wiley +1 more source
The movie recommendation algorithm based on the TransD model and AIGC empowerment and its application effectiveness analysis. [PDF]
Gao Y, Lin Z.
europepmc +1 more source
ABSTRACT Existing literature suggests that differences between autistic and non‐autistic people in emotion recognition might be related to differences in how these groups experience emotions themselves. Specifically, autistic individuals may show differences in the consistency of emotional experiences, the ability to distinguish between emotions, and ...
Connor Tom Keating +2 more
wiley +1 more source

