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CO-OFDM System with Self-Organizing Map (SOM) for Improving the Spectral Efficiency by the Compensation of Phase Noise
For optical signal transmission to increase the spectral efficiency in coherent systems, the phase noise compensator (PNC) without any pilot and with...
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A Modified Self-organizing Map with Mean-Shift Clustering for Seismicity Analysis of Earthquake Catalogs
The process of seismic de-clustering activity is highly important for comprehending the characteristics and trends of earthquakes, which can help in...
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Genetic Algorithm-Based Feature Selection and Self-Organizing Auto-Encoder (Soae) for Snp Genomics Data Classifications
SNPs (single nucleotide polymorphisms) are the most common biomarkers, and they have a wide range of applications, especially in human genetics. The...
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Self-Organizing Map Network for the Decision Making in Combined Mode Conduction-Radiation Heat Transfer in Porous Medium
Self-organizing map (SOM) network is used for the first time for decision making in combined mode conduction-radiation heat transfer in porous...
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Analysis and Interpretation of Deep Convolutional Features Using Self-organizing Maps
Deep learning has defined a new paradigm for data analysis. In image processing, Convolutional Neural Networks (CNN) have a vast number of...
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RLbRR: A Reliable Routing Algorithm Based on Reinforcement Learning for Self-organizing Network
With wireless communication rapid development, self-organizing network has been applied widely in various fields. Self-organizing network routing...
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Enhancing Interpretability in Mammography Pathology Detection Using Deep Convolutional Features and Self-Organizing Maps
Breast cancer remains a prominent global health concern with its critical emphasis on early detection. Mammography plays a crucial role in the...
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Analysis of Electricity Customer Clusters Using Self-organizing Maps
The electricity sector is essential for the economy. It is also important to improve the quality of life for the population. Evaluating the...
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Evaluating Morphometric Feature Variability of Handwritten Numerals Among Malaysian Malays Using Self-organizing Maps
Forensic handwriting examination involves the determination of authorship of the questioned document encountered in a criminal case. However, the...
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Fusion of self-organizing map and granular self-organizing map for microblog summarization
In this paper, we have proposed a fusion of two architectures, self-organizing map and granular self-organizing map (SOM + GSOM), for solving the...
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Exploring Spatial Variation of Soils Using Self-organizing Maps (SOMs) and UHPLC Data for Forensic Investigation
Forensic soil analysis is a challenging task attributed to the complexity and diversity of soil composition and properties. Understanding the spatial...
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Recognition of Facial Images via Self-Organizing Landmark Location with Approximate Graph Matching
The paper proposes a new approach toward face recognition using approximate graph matching on a self-organizing map (SOM). A set of Gabor filters are...
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Opinion Mining for Curriculum Enrichment Using Self-Organizing Maps
Recently social networks have become a valuable source of information where tastes, preferences and opinions of users around the world come together....
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An Overview of Self-Organizing Network (SON) as Network Management System in Mobile Telecommunication System
The rapid advancement in technologies employed in mobile telecommunication industries has improved the sector over the years. However, it has also...
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Multi-Agent Dynamic Model of the Multi-Criteria Information Interaction of Structural Elements of a Self-Organizing Data Transmission Network of a Ground-Air Monitoring System
AbstractAn analytical model of the interaction of information between the structural elements of a monitoring system is presented, taking into...
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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization Dedicated to the Memory of Teuvo Kohonen / Proceedings of the 14th International Workshop, WSOM+ 2022, Prague, Czechia, July 6-7, 2022
In this collection, the reader can find recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including...
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Estimation of Sundarban Reserve Forest Using Self-organizing Maps and Remote Sensing Data
The present study quantifies the classification and change detection of the Sundarban forest from 1975 to 2018 using self-organizing neural network...
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Kohonen Self-organizing Map in Seasonal Sales Planning
This article is devoted to the problem of sales planning in modern trade management systems. The modern interpretation of the problem of planning the...
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Fast Parallel Search of Best Matching Units in Self-organizing Maps
Self-Organizing Maps (SOM) are unsupervised neural networks that map an underlying regular neighbourhood structure onto a codebook that is learned to...