Results 11 to 20 of about 60,811 (193)
Development of a generic activities model of command and control [PDF]
, 2008 This paper reports on five different models of command and control. Four different models are reviewed: a process model, a contextual control model, a decision ladder model and a functional model.
Harris, D +9 more
core +7 more sources
A novel fractional-order flocking algorithm for large-scale UAV swarms
Complex & Intelligent Systems, 2023 The rate of convergence is a vital factor in determining the outcome of the mission execution of unmanned aerial vehicle (UAV) swarms. However, the difficulty of developing a rapid convergence strategy increases dramatically with the growth of swarm ...
Haotian Chen +6 more
doaj +1 more source
MoCoUTRL: a momentum contrastive framework for unsupervised text representation learning
Connection Science, 2023 This paper presents MoCoUTRL: a Momentum Contrastive Framework for Unsupervised Text Representation Learning. This model improves two aspects of recently popular contrastive learning algorithms in natural language processing (NLP).
Ao Zou +4 more
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A Multiview Metric Learning Method for Few-Shot Fine-Grained Classification
IEEE Access, 2022 Few-shot fine-grained image classification aims to solve the learning problem with few limited labeled examples. The existing methods use data augmentation to randomly transform the original examples to get new examples, and then use the new examples to ...
Zhuang Miao +5 more
doaj +1 more source
Multi‐task few‐shot learning with composed data augmentation for image classification
IET Computer Vision, 2023 Few‐shot learning (FSL) attempts to learn and optimise the model from a few examples on image classification, which is still threatened by data scarcity.
Rui Zhang +5 more
doaj +1 more source
Joint Attention Mechanism for Person Re-Identification
IEEE Access, 2019 Although person re-identification (ReID) has drawn increasing research attention due to its potential to address the problem of analysis and processing of massive monitoring data, it is very challenging to learn discriminative information when the people
Shanshan Jiao +5 more
doaj +1 more source
Pseudo Labels and Soft Multi-Part Corresponding Similarity for Unsupervised Deep Hashing
IEEE Access, 2020 In recent years, unsupervised deep hashing methods have achieved great success in large-scale image retrieval. However, these approaches still suffer two major problems in real world applications. On the one hand, due to the lack of effective supervision
Huiying Li +4 more
doaj +1 more source
How to Make Attention Mechanisms More Practical in Malware Classification
IEEE Access, 2019 Malware and its variants continue to pose a threat to network security. Machine learning has been widely used in the field of malware classification, but some emerging studies, such as attention mechanisms, are rarely applied in this field. In this paper,
Xin Ma +6 more
doaj +1 more source
IEEE Access, 2019 With the development of network technology such as software-defined network (SDN) and network function virtualization (NFV), Internet service providers (ISPs) are increasingly placing the virtual network function(VNF) instances at the network edge to ...
Jiachen Zu +4 more
doaj +1 more source
Augmented Cucker-Smale Model for Distributed Optimization
IEEE Access, 2021 The Cucker-Smale (C-S) model describes an interacting particle system in which the connection weights decrease with increasing distance. This model features emergent behaviors by which the velocities of the particles converge to a common value without a ...
Qiao Zhang +4 more
doaj +1 more source