Results 31 to 40 of about 287,251 (295)
Sensors, 2018 In this paper, a novel feature selection and fusion framework is proposed to enhance the discrimination ability of gas sensor arrays for odor identification.
Changjian Deng +6 more
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
A Novel Interactive Fusion Method with Images and Point Clouds for 3D Object Detection
Applied Sciences, 2019 This paper aims at tackling the task of fusion feature from images and their corresponding point clouds for 3D object detection in autonomous driving scenarios based on AVOD, an Aggregate View Object Detection network. The proposed fusion algorithms fuse
Kai Xu +3 more
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Multi-Source HRRP Target Fusion Recognition Based on Time-Step Correlation
Applied Sciences, 2023 Aiming at the limitations of a single High Resolution Range Profile (HRRP) in recognition, this paper proposes a Time step Correlation-based Feature Fusion (TCFF) method.
Jianbin Lu, Zhibin Yue, Lu Wan
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FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Scene Text Detection Based on Multi-scale Feature Extraction and Bidirectional Feature Fusion
Journal of Harbin University of Science and TechnologyNatural scene text detection is a fundamental research work in the field of image processing and has a wide range of applications. Currently, natural scene text detection usually adopts single-scale convolution and multi-scale feature fusion to ...
LIAN Zhe +3 more
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Semantic Video Concept Detection using Novel Mixed-Hybrid-Fusion Approach for Multi-Label Data
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2017 The performance of the semantic concept detection method depends on, the selection of the low-level visual features used to represent key-frames of a shot and the selection of the feature-fusion method used.
Nitin Jagannathrao Janwe +1 more
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Feature-Based Fusion of Medical Imaging Data [PDF]
IEEE Transactions on Information Technology in Biomedicine, 2009 The acquisition of multiple brain imaging types for a given study is a very common practice. There have been a number of approaches proposed for combining or fusing multitask or multimodal information. These can be roughly divided into those that attempt to study convergence of multimodal imaging, for example, how function and structure are related in ...
Vince D, Calhoun, Tülay, Adali
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Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Improved U-Net Multi-scale Feature Fusion Semantic Segmentation Network for RemoteSensing Images [PDF]
Jisuanji kexueHigh spatial resolution of remote sensing images,the large scale differences of different types of objects,and the imba-lance of categories are the main challenges faced by accurate semantic segmentation tasks.In order to improve the accuracy of semantic
JIANG Wenwen, XIA Ying
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