Results 21 to 30 of about 20,298 (224)
IET Networks, EarlyView., 2023 We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh +4 more
wiley +1 more source
Integrating Remote Sensing and Street View Imagery for Mapping Slums
ISPRS International Journal of Geo-Information, 2022 Mapping slums is vital for monitoring the Sustainable Development Goal (SDG) indicators. In the absence of reliable data, Remote Sensing (RS)-based approaches, particularly the Deep Learning (DL) methods, have gained recognition and high accuracies for ...
Abbas Najmi +4 more
doaj +1 more source
Complexity profiles: A large-scale review of energy system models in terms of complexity
Energy Strategy Reviews, 2020 Energy systems are becoming increasingly complex as developments such as sector coupling and decentral electricity generation increase their interconnectedness.
Elias Ridha +2 more
doaj +1 more source
Graph-FCN for Image Semantic Segmentation [PDF]
, 2019 Semantic segmentation with deep learning has achieved great progress in classifying the pixels in the image. However, the local location information is usually ignored in the high-level feature extraction by the deep learning, which is important for image semantic segmentation.
Yi Lu +3 more
openaire +2 more sources
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 We aim to tackle a novel vision task called Weakly Supervised Visual Relation Detection (WSVRD) to detect "subject-predicate-object" relations in an image with object relation groundtruths available only at the image level. This is motivated by the fact that it is extremely expensive to label the combinatorial relations between objects at the instance ...
Hanwang Zhang +3 more
openaire +4 more sources
Pretrained FCN on the UCR Archive
, 2022 The pretrained FCN models on the UCR archive datasets.
Daesoo Lee (13962204)
core +1 more source
Constructing high-order functional connectivity network based on central moment features for diagnosis of autism spectrum disorder [PDF]
PeerJ, 2021 The sliding-window-based dynamic functional connectivity network (D-FCN) has been becoming an increasingly useful tool for understanding the changes of brain connectivity patterns and the association of neurological diseases with these dynamic variations.
Qingsong Xie +6 more
doaj +2 more sources
Residual Pyramid Fcn for Robust Follicle Segmentation [PDF]
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019 In this paper, we propose a pyramid network structure to improve the FCN-based segmentation solutions and apply it to label thyroid follicles in histology images. Our design is based on the notion that a hierarchical updating scheme, if properly implemented, can help FCNs capture the major objects, as well as structure details in an image. To this end,
Zhewei Wang +5 more
openaire +4 more sources