released in conjunction with the IEEE Transactions on Medical Imaging paper "Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks" [1]... E Gibson,F Giganti,Y Hu,... 被引量: 0发表: 2018年 High-resolution 3D abdominal segmentation with random patch network fusion Deep lea...
INTERFERENCE MANAGEMENT AND NETWORK PERFORMANCE OPTIMIZATION IN DENSE WIFI NETWORKSA method of managing Wi-Fi access points using a Wi-Fi network manager is disclosed. Measurement data is received from a plurality of Wi-Fi access points via a control interface. Optimized adjustments to one or more...
In this paper, we investigate the anti-jamming channel selection problem for interference mitigation (IM) based dense wireless networks in dynamic environment, in which the active user set is variable due to their specific traffic demands. We jointly consider the mutual interference among users and ...
Emerging Wi-Fi technologies are expected to cope with large amounts of traffic in dense networks. Consequently, proposals for the future IEEE 802.11ax Wi-Fi amendment include sensing threshold and transmit power adaptation, in order to improve spatial reuse. However, it is not yet understood to ...
With the increasing use of deep learning in medical applications, convolutional neural networks (CNNs) have been repeatedly shown to perform well on segmentation of medical images, and have become gradually accepted as a solution for improving diagnostic accuracy and clinical decision making [3,4,5...
Abstract：C o r o n a r y a r te r y is an im p o rta n t b a s is fo r th e s tu d y o f c a r d io v a sc u la r d ise a se s. In o rd e r to s e g m e n t c o ro n a ry a r te r ie s a c c u r a te ly in D S A(d ...
Securing vehicular ad hoc networks with mean field game theory Game theory is a useful tool to model and analyze decision problems. In this paper, we use a novel game model, mean field game, to solve the security problem in Vehicular Ad hoc Networks (VANETs). The mean field game model ...
Bouras C, Diles G, Kokkinos V, et al, "Transmission optimizing on dense femtocell deployments in 5G," International Journal of Communication Systems, vol.29, no.16, pp.2388-2402, 2015. Article (CrossRef Link)C. Bouras, G. Diles, V. Kokkinos, and A. Papazois, "Transmission optimizing...
This paper proposes a two-layer dynamic partitioning Recursive Bit String (RBS) virtual domain network layer multicast architecture specifically designed for large-scale, geographically dense multicast scenarios within campus networks. This approach reduces redundant multicast messages by approximately 10-30\...
Dense retrieval depends on neural networks and requires a more complex set of dependencies. Apipinstallation will automatically pull in the🤗 Transformers libraryto satisfy the package requirements. Pyserini also depends onPyTorchandFaiss, but since these packages may require platform-specific custom con...