Results 61 to 70 of about 6,701,261 (238)
Scikit-Multiflow: A Multi-output Streaming Framework
, 2018 Scikit-multiflow is a multi-output/multi-label and stream data mining framework for the Python programming language. Conceived to serve as a platform to encourage democratization of stream learning research, it provides multiple state of the art methods ...
Abdessalem, Talel +3 more
core +1 more source
Multi-source data assimilation for physically based hydrological modeling of an experimental hillslope [PDF]
, 2018 Data assimilation has recently been the focus of much attention for integrated surface–subsurface hydrological models, whereby joint assimilation of water table, soil moisture, and river discharge measurements with the ensemble Kalman filter (EnKF ...
Belluco, Enrica +2 more
core +2 more sources
Unified operation monitoring and security warning platform based on big data in energy group
Dianxin kexue, 2018 With the increasing of information assets of energy group,in order to effectively cope with information security risks,using the big data and the intersecting confirmation mechanics of multi-source data,a monitoring and security warning platform was ...
Jing WANG +3 more
doaj +2 more sources
, 2011 This paper presents a novel pairwise constraint propagation approach by decomposing the challenging constraint propagation problem into a set of independent semi-supervised learning subproblems which can be solved in quadratic time using label ...
A Ng +21 more
core +1 more source
3-D interactive visualisation tools for HI spectral line imaging [PDF]
, 2016 Upcoming HI surveys will deliver such large datasets that automated processing using the full 3-D information to find and characterize HI objects is unavoidable.
Punzo, D. +2 more
core +2 more sources
Healthcare data mining from multi-source data [PDF]
, 2017 The "big data" challenge is changing the way we acquire, store, analyse, and draw conclusions from data. How we effectively and efficiently "mine" the data from possibly multiple sources and extract useful information is a critical question. Increasing research attention has been drawn to healthcare data mining, with an ultimate goal to improve the ...
openaire +2 more sources
Deep Learning for Multi-Source Data-Driven Crop Yield Prediction in Northeast China
AgricultureThe accurate prediction of crop yields is crucial for enhancing agricultural efficiency and ensuring food security. This study assesses the performance of the CNN-LSTM-Attention model in predicting the yields of maize, rice, and soybeans in Northeast ...
Jian Lu +7 more
semanticscholar +1 more source
Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data
Atmosphere, 2019 We analyzed a June 2018 Nanjing, China haze event using ground-based and spaceborne sensors, combined with sounding and HYSPLIT backward trajectory data, with the ground-based and spaceborne sensor data exhibiting good consistency.
Yiyang Zhang, Jing Wang, Lingbing Bu
doaj +1 more source
Multi-Source Knowledge Reasoning for Data-Driven IoT Security
Sensors, 2021 Nowadays, there are different kinds of public knowledge bases for cyber security vulnerability and threat intelligence which can be used for IoT security threat analysis.
Shuqin Zhang +5 more
doaj +1 more source
A data driven approach to urban area delineation using multi source geospatial data
Scientific ReportsThis study introduces a data-driven, bottom-up approach to urban delineation, integrating feature engineering with the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, which represents a significant improvement in precision
Chenyu Fang +4 more
doaj +1 more source