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Ecological Indicators, 2023 The primary water source for agricultural irrigation in the People's Victory Canal irrigation area was the Yellow River water in the early stage, and the Yellow River water diversion volume decreased in the later stage.
Zhongpei Liu +4 more
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SOMDE: A scalable method for identifying spatially variable genes with self-organizing map
bioRxiv, 2020 Recent developments of spatial transcriptomic sequencing technologies provide powerful tools for understanding cells in the physical context of tissue micro-environments.
Minsheng Hao, Kui Hua, Xue-Gong Zhang
semanticscholar +1 more source
Robust Self-organizing Maps [PDF]
, 2004 The Self Organizing Map (SOM) model is an unsupervised learning neural network that has been successfully applied as a data mining tool. The advantages of the SOMs are that they preserve the topology of the data space, they project high dimensional data to a lower dimension representation scheme, and are able to find similarities in the data.
Héctor Allende +3 more
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Clustering of basketball players using self-organizing map neural networks [PDF]
Journal of Applied Research on Industrial Engineering, 2021 Clustering players based on their abilities, a new perspective and an important opportunity to meet needs that in the light of traditional talent identification and player science, which is held periodically and there is not enough time for them to ...
Soroush Babaee Khobdeh +2 more
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Biomimetic SLAM Algorithm Based on Growing Self-Organizing Map
IEEE Access, 2021 A Biomimetic SLAM Algorithm Based on Growing Self-Organizing Map (GSOM-BSLAM), inspired by spatial cognitive mechanism of mammalian hippocampus, is proposed to resolve uncertainty problems in location identification and lack of real-time performance in ...
Yukun Zhang +3 more
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Normalization methods analysis of career pattern using self-organizing map [PDF]
E3S Web of Conferences, 2023 Clustering the distribution of student graduates is an approach used to analyze and understand the success of Vocational High School education programs in preparing graduates to enter the workforce or start their own businesses. The purpose of clustering
Purwanto +3 more
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Deep Convolutional Self-Organizing Map Network for Robust Handwritten Digit Recognition
IEEE Access, 2020 Deep Convolutional Neural Networks (DCNN) are currently the predominant technique commonly used to learn visual features from images. However, the complex structure of most recent DCNNs impose two major requirements namely, huge labeled dataset and high ...
S. Aly, Sultan Almotairi
semanticscholar +1 more source
Semantic Analysis of Kiswahili Words Using the Self Organizing Map
Nordic Journal of African Studies, 2003 Acquisition of semantic knowledge to support natural language processing tasks is a non-trivial task, and more so if manually undertaken. This paper presents an automatic lexical acquisition method that learns semantic properties of Kiswahili words ...
Wanjiku Ng'ang'a
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Water, 2020 As one of the globally largest cities suffering from severe water shortage, Beijing is highly dependent on groundwater supply. Located northeast of Beijing, the Pinggu district is an important emergency-groundwater-supply source.
Jia Li +3 more
semanticscholar +1 more source
Classification of Streaming Fuzzy DEA Using Self-Organizing Map [PDF]
Journal of Optimization in Industrial Engineering, 2019 The classification of fuzzy data is considered as the most challenging areas of data analysis and the complexity of the procedures has been obstacle to the development of new methods for fuzzy data analysis.
Alireza Alinezhad +2 more
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