NUK - logo

Search results

Basic search    Advanced search   
Search
request
Library

Currently you are NOT authorised to access e-resources NUK. For full access, REGISTER.

2 3 4 5 6
hits: 6,872
31.
Full text

PDF
32.
  • Inventory models with later... Inventory models with lateral transshipments: A review
    Paterson, Colin; Kiesmüller, Gudrun; Teunter, Ruud ... European journal of operational research, 04/2011, Volume: 210, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    Lateral transshipments within an inventory system are stock movements between locations of the same echelon. These transshipments can be conducted periodically at predetermined points in time to ...
Full text
33.
  • Semantics feature sampling ... Semantics feature sampling for point-based 3D object detection
    Huang, Jing-Dong; Du, Ji-Xiang; Zhang, Hong-Bo ... Image and vision computing, September 2024, 2024-09-00, Volume: 149
    Journal Article
    Peer reviewed

    Currently, 3D object detection is a research hotspot in the field of computer vision. In this paper, we have observed that the commonly used set abstraction module retains excessive irrelevant ...
Full text
34.
  • Avg-topk: A new pooling met... Avg-topk: A new pooling method for convolutional neural networks
    Özdemir, Cüneyt Expert systems with applications, 08/2023, Volume: 223
    Journal Article
    Peer reviewed

    The pooling layer is a layer used in Convolutional Neural Networks (CNN) that takes the output feature map of the previous convolutional layer and reduces the feature maps to smaller sizes. ...
Full text
35.
  • Comparison of sociodemograp... Comparison of sociodemographic factors, healthcare utilisation by general practitioner visits, somatic hospital admissions, and medication use in Norway, Sweden, and Denmark
    Bliddal, Mette; Bjørk, Emma; Karlstad, Øystein ... Annals of epidemiology, 07/2024
    Journal Article
    Peer reviewed

    The healthcare systems in Scandinavia inform nationwide registers and the Scandinavian populations are increasingly combined in research. We aimed to compare Norway (NO), Sweden (SE), and Denmark ...
Full text
36.
  • Convolutional Neural Networ... Convolutional Neural Network Architectures for Signals Supported on Graphs
    Gama, Fernando; Marques, Antonio G.; Leus, Geert ... IEEE transactions on signal processing, 02/2019, Volume: 67, Issue: 4
    Journal Article
    Peer reviewed
    Open access

    Two architectures that generalize convolutional neural networks (CNNs) for the processing of signals supported on graphs are introduced. We start with the selection graph neural network (GNN), which ...
Full text

PDF
37.
  • Optimal design of ride-pool... Optimal design of ride-pooling as on-demand feeder services
    Fan, Wenbo; Gu, Weihua; Xu, Meng Transportation research. Part B: methodological, July 2024, 2024-07-00, Volume: 185
    Journal Article
    Peer reviewed
    Open access

    The technology-enabled ride-pooling (RP) is designed as an on-demand feeder service to connect remote areas to transit terminals (or activity centers). We propose the so-called “hold-dispatch” ...
Full text
38.
  • SegNet: A Deep Convolutiona... SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
    Badrinarayanan, Vijay; Kendall, Alex; Cipolla, Roberto IEEE transactions on pattern analysis and machine intelligence, 2017-Dec.-1, 2017-12-00, 2017-12-1, 20171201, Volume: 39, Issue: 12
    Journal Article
    Peer reviewed
    Open access

    We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of an ...
Full text

PDF
39.
  • NAS-FAS: Static-Dynamic Cen... NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing
    Yu, Zitong; Wan, Jun; Qin, Yunxiao ... IEEE transactions on pattern analysis and machine intelligence, 2021-Sept.-1, 2021-9-1, 20210901, Volume: 43, Issue: 9
    Journal Article
    Peer reviewed
    Open access

    Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Existing methods heavily rely on the expert-designed networks, which may lead to a sub-optimal solution for FAS task. ...
Full text

PDF
40.
  • Power Normalizations in Fin... Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification
    Koniusz, Piotr; Zhang, Hongguang IEEE transactions on pattern analysis and machine intelligence, 02/2022, Volume: 44, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    Power Normalizations ( PN ) are useful non-linear operators which tackle feature imbalances in classification problems. We study PNs in the deep learning setup via a novel PN layer pooling feature ...
Full text

PDF
2 3 4 5 6
hits: 6,872

Load filters