Preemptive data distribution infrastructure for data centric analysis and modelling
Sign Up to like & getrecommendations! Published in 2017 at "Fusion Engineering and Design"
DOI: 10.1016/j.fusengdes.2017.03.168
Abstract: Abstract The next generation of tokamaks, e.g. ITER, will have extremely large data collection rates significantly larger than those experienced today in present tokamaks, with consequential new challenges in data management, data analysis and integrated… read more here.
Keywords: distribution infrastructure; preemptive data; data distribution; analysis ... See more keywords
Simulating federated learning for steatosis detection using ultrasound images
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-63969-x
Abstract: We aimed to implement four data partitioning strategies evaluated with four federated learning (FL) algorithms and investigate the impact of data distribution on FL model performance in detecting steatosis using B-mode US images. A private… read more here.
Keywords: learning steatosis; model; federated learning; data distribution ... See more keywords
An Edge-Assisted Data Distribution Method for Vehicular Network Services
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2946484
Abstract: The current data distribution method of vehicular network cannot satisfy the strict spatiotemporal constraints on the transmission of massive service data. Neither can the 5th generation mobile network (5G) meet the massive data demand of… read more here.
Keywords: vehicular network; data distribution; network; distribution method ... See more keywords
Analysis of Continual Learning Models for Intrusion Detection System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3222715
Abstract: Deep Learning based Intrusion Detection Systems (IDSs) have received significant attention from the research community for their capability to handle modern-day security systems in large-scale networks. Despite their considerable improvement in performance over machine learning-based… read more here.
Keywords: intrusion detection; continual learning; learning models; learning ... See more keywords
Data Distribution-Based Curriculum Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3465793
Abstract: The order of training samples can have a significant impact on a model’s performance. Curriculum learning is an approach for gradually training a model by ordering samples from ‘easy’ to ‘hard’. This paper proposes the… read more here.
Keywords: curriculum; based curriculum; curriculum learning; data distribution ... See more keywords
Image-Based PM2.5 Estimation From Imbalanced Data Distribution Using Prior-Enhanced Neural Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3343080
Abstract: The effective monitoring of PM2.5, a major indicator of air pollution, is crucial to human activities. Compared to traditional physiochemical techniques, image-based methods train PM2.5 estimators by using datasets containing pairs of images and PM2.5… read more here.
Keywords: image; imbalanced data; prior enhanced; image based ... See more keywords
Data Distribution for Heterogeneous Storage Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3223302
Abstract: The exponential growth of data in many science and engineering domains poses significant challenges to storage systems. Data distribution is a critical component in large-scale distributed storage systems and plays a vital role in placing… read more here.
Keywords: systems data; heterogeneous storage; storage systems; data distribution ... See more keywords
Interaction Trust-Driven Data Distribution for Vehicle Social Networks: A Matching Theory Approach
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2023.3343084
Abstract: Due to the rapid expansion of the Internet of Vehicles (IoVs), service providers deploy roadside units (RSUs), and base stations (BSs) close to vehicles. They can provide vehicles with computational offloading services quickly. In the… read more here.
Keywords: vehicle social; vehicle; social networks; trust ... See more keywords
Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2869476
Abstract: In this paper, a robust online multilabel learning method dealing with dynamically changing multilabel data streams is proposed. The proposed method has three advantages: 1) higher accuracy due to a newly defined objective function based… read more here.
Keywords: multilabel; robust online; online multilabel; data distribution ... See more keywords
Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2898371
Abstract: Fuzzy support vector machine (FSVM) has been combined with class imbalance learning (CIL) strategies to address the problem of classifying skewed data. However, the existing approaches hold several inherent drawbacks, causing the inaccurate prior data… read more here.
Keywords: data distribution; relative density; density; density information ... See more keywords
Large-Size Data Distribution in IoV Based on 5G/6G Compatible Heterogeneous Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3118701
Abstract: The distribution of large-size data block in the Internet of Vehicles (IoV), especially in the urban IoV with dense vehicles, is still a challenge issue. Though the methods based on 5G-cellular network commonly can efficiently… read more here.
Keywords: network; large size; size data; data distribution ... See more keywords