Results 11 to 20 of about 6,701,261 (238)
Multi-source relational data fusion [PDF]
SCIENTIA SINICA Informationis, 2020 Focusing on the problem of relational data fusion in the environment with “information isolated island”, this paper presents a multi-sources relational data fusion (MSF) framework. The framework consists of three components: schema matching, entity alignment, and entity fusion.
Yue DING +4 more
openaire +1 more source
Recent trends of machine learning applied to multi-source data of medicinal plants
Journal of Pharmaceutical Analysis, 2023 In traditional medicine and ethnomedicine, medicinal plants have long been recognized as the basis for materials in therapeutic applications worldwide.
Yanying Zhang, Yuanzhong Wang
semanticscholar +1 more source
Spatio-Temporal Knowledge Graph Based Forest Fire Prediction with Multi Source Heterogeneous Data
Remote Sensing, 2022 Forest fires have frequently occurred and caused great harm to people’s lives. Many researchers use machine learning techniques to predict forest fires by considering spatio-temporal data features.
Xingtong Ge +6 more
doaj +1 more source
Unsupervised multi-source domain adaptation with no observable source data.
PLoS ONE, 2021 Given trained models from multiple source domains, how can we predict the labels of unlabeled data in a target domain? Unsupervised multi-source domain adaptation (UMDA) aims for predicting the labels of unlabeled target data by transferring the ...
Hyunsik Jeon, Seongmin Lee, U Kang
doaj +1 more source
Intelligent resource allocation scheme for cloud-edge-end framework aided multi-source data stream
EURASIP Journal on Advances in Signal Processing, 2023 To support multi-source data stream generated from Internet of Things devices, edge computing emerges as a promising computing pattern with low latency and high bandwidth compared to cloud computing.
Yuxi Wu +6 more
semanticscholar +1 more source
Atmospheric Chemistry and Physics, 2023 . Ozone (O3) is a secondary pollutant in the atmosphere formed by photochemical reactions that endangers human health and ecosystems. O3 has aggravated in Asia in recent decades and will vary in the future.
Huimin Li +6 more
semanticscholar +1 more source
Learning from Multi-source Data [PDF]
, 2004 This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in learning rules independently from each source. In the second step the learned rules are used to bias a new learning process from the aggregated data.
Fromont, Elisa +2 more
openaire +2 more sources
DQN-based resource allocation for NOMA-MEC-aided multi-source data stream
EURASIP Journal on Advances in Signal Processing, 2023 This paper investigates a non-orthogonal multiple access (NOMA)-aided mobile edge computing (MEC) network with multiple sources and one computing access point (CAP), in which NOMA technology is applied to transmit multi-source data streams to CAP for ...
Jing Ling +5 more
semanticscholar +1 more source
Plant Phenomics, 2023 The field phenotyping platforms that can obtain high-throughput and time-series phenotypes of plant populations at the 3-dimensional level are crucial for plant breeding and management.
Yinglun Li +8 more
semanticscholar +1 more source
Modeling and estimation of multi-source clustering in crime and security data [PDF]
, 2013 While the presence of clustering in crime and security event data is well established, the mechanism(s) by which clustering arises is not fully understood.
Mohler, George
core +1 more source