Results 281 to 290 of about 223,297 (353)
The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li +5 more
wiley +1 more source
Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida. [PDF]
Zournas A +21 more
europepmc +1 more source
Interpretable PROTAC Degradation Prediction With Structure‐Informed Deep Ternary Attention Framework
PROTAC‐STAN, a structure‐informed deep learning framework is presented for interpretable PROTAC degradation prediction. By modeling molecular hierarchies and protein structures, and simulating ternary interactions via a novel attention network, PROTAC‐STAN achieves significant performance gains over baselines.
Zhenglu Chen +11 more
wiley +1 more source
A curated dataset on the distribution of West Palaearctic freshwater bivalves. [PDF]
Lopes-Lima M +83 more
europepmc +1 more source
Angular‐dependent magnetoresistance in stacked Fe3GeTe2 reveals high‐order UAMR that defies spin‐current‐based interpretations. Instead, it originates from internal electric fields at atomically sharp interfaces (ASI), in excellent agreement with two‐vector MR theory.
Qian Chen +9 more
wiley +1 more source
Malicious traffic prediction model for ResNet based on Maple-IDS dataset. [PDF]
Li Q, Wang B, Wen X, Chen Y.
europepmc +1 more source
This article presents a detailed ultrastructural cell atlas of Plasmodium ookinete development using advanced volume electron microscopy (v) techniques. It defines seven distinct developmental stages, revealing complex organelle interactions and offering new insights into parasite differentiation.
Nedal Darif +12 more
wiley +1 more source
The Origin of Shared Emergent Properties in Discrete Systems. [PDF]
Hatton L, Warr G.
europepmc +1 more source

