Results 1 to 10 of about 6,553,251 (240)
Unsupervised Learning Methods for Data-Driven Vibration-Based Structural Health Monitoring: A Review
Sensors, 2023 Structural damage detection using unsupervised learning methods has been a trending topic in the structural health monitoring (SHM) research community during the past decades.
Kareem Eltouny +2 more
doaj +3 more sources
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
IEEE Access, 2019 While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has focused on supervised learning.
Muhammad Usama +7 more
doaj +3 more sources
Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders
Remote Sensing, 2019 This paper proposes novel autoencoders for unsupervised feature-learning from hyperspectral data. Hyperspectral data typically have many dimensions and a significant amount of variability such that many data points are required to represent the ...
Lloyd Windrim +4 more
doaj +3 more sources
DLUT: Decoupled Learning-Based Unsupervised Tracker
Sensors, 2023 Unsupervised learning has shown immense potential in object tracking, where accurate classification and regression are crucial for unsupervised trackers.
Zhengjun Xu +4 more
doaj +1 more source
Machine Learning Algorithms: An Experimental Evaluation for Decision Support Systems
Algorithms, 2022 Decision support systems with machine learning can help organizations improve operations and lower costs with more precision and efficiency. This work presents a review of state-of-the-art machine learning algorithms for binary classification and makes a
Hugo Silva, Jorge Bernardino
doaj +1 more source
Contrastive Learning Based on Transformer for Hyperspectral Image Classification
Applied Sciences, 2021 Recently, deep learning has achieved breakthroughs in hyperspectral image (HSI) classification. Deep-learning-based classifiers require a large number of labeled samples for training to provide excellent performance.
Xiang Hu +4 more
doaj +1 more source
IEEE Access, 2023 In order to solve the resource allocation problem in scenarios of centralized wireless cellular communication with multiple cells, users and channels, a novel resource allocation algorithm based on joint Deep Deterministic Policy Gradient (DDPG ...
Ming Sun +3 more
doaj +1 more source
IET Cyber-systems and Robotics, 2022 Particle image velocimetry (PIV) is an essential method in experimental fluid dynamics. In recent years, the development of deep learning‐based methods has inspired new approaches to tackle the PIV problem, which considerably improves the accuracy of PIV.
Yiwei Chong +4 more
doaj +1 more source
Micromachines, 2022 Neuromorphic computing has shown great advantages towards cognitive tasks with high speed and remarkable energy efficiency. Memristor is considered as one of the most promising candidates for the electronic synapse of the neuromorphic computing system ...
Ruiyi Li +7 more
doaj +1 more source
Unsupervised Learning of Particles Dispersion
Mathematics, 2023 This paper discusses using unsupervised learning in classifying particle-like dispersion. The problem is relevant to various applications, including virus transmission and atmospheric pollution.
Nicholas Christakis, Dimitris Drikakis
doaj +1 more source