Results 101 to 110 of about 9,428,499 (297)
Cortical Object Segregation And Categorization
, 2006 In this paper we present an improved scheme for line and edge detection in cortical area V1, based on responses of simple and complex cells, truly multi-scale with no free parameters.
Multi-Scale Line And, João Rodrigues
core
Molecular Oncology, EarlyView.Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
Erratum: Knowledge Representation for Multi-Scale Physiology Route Modeling
Frontiers in Neuroinformatics, 2022 Frontiers Production Office
doaj +1 more source
Molecular Oncology, EarlyView.LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source
Line structure representation for multi-level pedestrian network analysis
, 2018 This paper introduces the line structure of road network as a mean of representing pedestrian network in Hong Kong. In Hong Kong the pedestrian network combines both steep topographies as for the road network and separation from the road network due to ...
Chiaradia, A.J.F. +3 more
core +4 more sources
Remote SensingTransformers have recently gained significant attention in low-level vision tasks, particularly for remote sensing image super-resolution (RSISR). The vanilla vision transformer aims to establish long-range dependencies between image patches.
Yuting Lu +5 more
doaj +1 more source
Multi-level image representation for large-scale image-based instance retrieval
CAAI Transactions on Intelligence Technology, 2018 In recent years, instance-level-image retrieval has attracted massive attention. Several researchers proposed that the representations learned by convolutional neural network (CNN) can be used for image retrieval task.
Qili Deng, Shuai Wu, Jie Wen, Yong Xu
doaj +1 more source
Translating whole‐genome doubling into precision medicine in cancer
Molecular Oncology, EarlyView.Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley +1 more source
YOLO-SAR: An Enhanced Multi-Scale Ship Detection Method in Low-Light Environments
Applied SciencesNowadays, object detection has become increasingly crucial in various Internet-of-Things (IoT) systems, and ship detection is an essential component of this field.
Zihang Xiong +3 more
doaj +1 more source
Multi-Scale Representation Learning for Protein Fitness Prediction
Advances in Neural Information Processing Systems 37Designing novel functional proteins crucially depends on accurately modeling their fitness landscape. Given the limited availability of functional annotations from wet-lab experiments, previous methods have primarily relied on self-supervised models trained on vast, unlabeled protein sequence or structure datasets.
Zuobai Zhang +7 more
openaire +4 more sources