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The development of data and model integration platforms has furthered scientific inquiry and helped to solve pressing social and environmental problems.
Akiyuki Kawasaki +8 more
doaj +1 more source
Choosing the Best Sensor Fusion Method: A Machine-Learning Approach
Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliability
Ramon F. Brena +4 more
doaj +1 more source
Structure-revealing data fusion [PDF]
Analysis of data from multiple sources has the potential to enhance knowledge discovery by capturing underlying structures, which are, otherwise, difficult to extract. Fusing data from multiple sources has already proved useful in many applications in social network analysis, signal processing and bioinformatics.
Evrim, Acar Ataman +6 more
openaire +5 more sources
Competition of fusion and quasi-fission in the reactions leading to production of the superheavy elements [PDF]
The mechanism of fusion hindrance, an effect observed in the reactions of cold, warm and hot fusion leading to production of the superheavy elements, is investigated.
A. B. Quint +23 more
core +1 more source
A Comparative Study on Recent Automatic Data Fusion Methods
Automatic data fusion is an important field of machine learning that has been increasingly studied. The objective is to improve the classification performance from several individual classifiers in terms of accuracy and stability of the results.
Luis Manuel Pereira +2 more
doaj +1 more source
Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods
In this study, a method based on supervised machine learning is proposed to identify village buildings from open high-resolution remote sensing images.
Zhiling Guo +5 more
doaj +1 more source
Target Estimation in Colocated MIMO Radar via Matrix Completion [PDF]
We consider a colocated MIMO radar scenario, in which the receive antennas forward their measurements to a fusion center. Based on the received data, the fusion center formulates a matrix which is then used for target parameter estimation.
Bajwa, Waheed U. +2 more
core +1 more source
Fusion-fission reactions with modified Woods-Saxon potential [PDF]
A modified Woods-Saxon potential model is proposed for a unified description of the entrance channel fusion barrier and the fission barrier of fusion-fission reactions based on the Skyrme energy-density functional approach.
Scheid, Werner +3 more
core +1 more source
Unsupervised Global Urban Area Mapping via Automatic Labeling from ASTER and PALSAR Satellite Images
In this study, a novel unsupervised method for global urban area mapping is proposed. Different from traditional clustering-based unsupervised methods, in our approach a labeler is designed, which is able to automatically select training samples from ...
Yulin Duan +5 more
doaj +1 more source
On fusion methods for knowledge discovery from multi-omics datasets
Recent years have witnessed the tendency of measuring a biological sample on multiple omics scales for a comprehensive understanding of how biological activities on varying levels are perturbed by genetic variants, environments, and their interactions ...
Edwin Baldwin +7 more
doaj +1 more source

