Results 11 to 20 of about 188,912 (301)

AI in Future C2 – Who’s in Command When AI Takes Control? [PDF]

, 2023
30.01.24: Source at https://internationalc2institute.org/.Artificial Intelligence (AI) will become an increasingly dominant element of future Command and Control (C2) systems and organizations.
Lund-Kordahl, Inger, Bjurström, Erik, Bakken, Bjørn Tallak   +2 more
core  

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, Yang Li, Xin Xie, Shuai Gao, Dongsheng Mao   +4 more
doaj   +1 more source

Adaptive Constrained Differential Evolution Algorithm by Using Generalized Opposition-Based Learning

Xibei Gongye Daxue Xuebao, 2019
Differential evolution is a global optimization algorithm based on greedy competition mechanism, which has the advantages of simple structure, less control parameters, higher reliability and convergence. Combining with the constraint-handling techniques,

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, Ming He, Bing Xu, Hongyue He, Minyang Liu   +4 more
doaj   +1 more source

Robust Compare Network for Few-Shot Learning

IEEE Access, 2020
Making machines learn like humans is the ultimate goal of artificial intelligence. Few-shot learning attempts to simulate the learning mechanism of humans, which is a task that can learn novel concepts from very few labeled samples.
Yixin Yang, Yang Li, Rui Zhang, Jiabao Wang, Zhuang Miao   +4 more
doaj   +1 more source

Structure-Aware Low-Rank Adaptation for Parameter-Efficient Fine-Tuning

Mathematics, 2023
With the growing scale of pre-trained language models (PLMs), full parameter fine-tuning becomes prohibitively expensive and practically infeasible.
Yahao Hu, Yifei Xie, Tianfeng Wang, Man Chen, Zhisong Pan   +4 more
doaj   +1 more source

A Novel Multi-Agent Parallel-Critic Network Architecture for Cooperative-Competitive Reinforcement Learning

IEEE Access, 2020
Multi-agent deep reinforcement learning (MDRL) is an emerging research hotspot and application direction in the field of machine learning and artificial intelligence.
Yu Sun, Jun Lai, Lei Cao, Xiliang Chen, Zhixiong Xu, Yue Xu   +5 more
doaj   +1 more source

Nowhere to Hide Methodology: Application of Clustering Fault Diagnosis in the Nuclear Power Industry

IEEE Access, 2019
When a system crashes, fast and accurate log-based fault diagnosis can remarkably reduce the recovery time of the system and avoid further economic losses. Especially for the nuclear power industry, recovery time will lead not only to economic losses but
Cheng Zong, Song Huang, Erhu Liu, Yongming Yao, Shi-Qi Tang   +4 more
doaj   +1 more source

Unsupervised 3D Reconstruction with Multi-Measure and High-Resolution Loss

Sensors, 2022
Multi-view 3D reconstruction technology based on deep learning is developing rapidly. Unsupervised learning has become a research hotspot because it does not need ground truth labels.
Yijie Zheng, Jianxin Luo, Weiwei Chen, Yanyan Zhang, Haixun Sun, Zhisong Pan   +5 more
doaj   +1 more source

COMMAND, CONTROL AND COMMUNICATIONS

Scientia Militaria - South African Journal of Military Studies, 2012
Basic concepts and ...
openaire   +4 more sources