Article
Environmental Sciences
Brittany V. Lancellotti, Kristen L. Underwood, Julia N. Perdrial, Andrew W. Schroth, Eric D. Roy, Carol E. Adair
Summary: Oxygen (O-2) plays a crucial role in regulating soil processes and biogeochemical cycles. However, accurately measuring soil O-2 variability is challenging, leading to the use of soil moisture as a proxy for O-2. However, relying solely on soil moisture measurements may lead to inaccurate estimations of soil O-2 levels.
WATER RESOURCES RESEARCH
(2023)
Article
Automation & Control Systems
Hirijete Idrizi, Metodija Najdoski, Igor Kuzmanovski
Summary: Soil, due to its transferability, is commonly used as evidence in criminal investigations. In this study, urban soil samples from five parks were analyzed using infrared spectroscopy. The development of classification models based on supervised self-organizing maps, with the use of genetic algorithms, successfully predicted and classified the samples from different locations. The results also showed the influence of weather and seasonal changes on soil composition.
JOURNAL OF CHEMOMETRICS
(2021)
Article
Ecology
Arnab Banerjee, Nabyendu Rakshit, Moitreyee Chakrabarty, Swagata Sinha, Sinchan Ghosh, Santanu Ray
Summary: Self-organizing maps, also known as Kohonen-maps, are used to analyze the community pattern of zooplankton in the Bakreswar reservoir ecosystem. Different groups of zooplankton react differently to environmental factors, with physical factors having the greatest influence. The temperature profiles of the reservoir primarily determine the occurrence of different zooplankton groups. The overall observation is that the reservoir has good water quality and a healthy trophic structure.
ECOLOGICAL INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Slavisa Jovanovic, Hiroomi Hikawa
Summary: Self-organizing feature maps (SOMs) are commonly used in clustering and data dimensionality reduction. However, their high computational cost limits their real-time online processing. This article surveys the hardware implementations of SOMs and discusses the challenges and trends for their adoption as hardware accelerators in various applications.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Meteorology & Atmospheric Sciences
Zi-Qing Wang, Guang-Hua Chen, Yu-Hui Zhao
Summary: Based on self-organizing maps (SOM), clustering analysis was performed on 461 tropical cyclones (TCs) in the western North Pacific from 2000 to 2019. The TCs were classified into five patterns, including convergence, monsoon trough, pre-existing cyclone, subtropical high, and easterly wave patterns. The study found that the characteristics and environmental conditions of TC formation vary among different patterns.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Grisel Jimenez Soto, Abdul Halim Abdul Latiff, Wael Ben Habel, Saw Bing Bing, Michael Poppelreiter
Summary: Reducing uncertainty in 3D carbonate rock type distribution is crucial for field development in hydrocarbon or carbon capture and storage projects. This study presents a workflow to obtain spatial information and capture the important factors influencing rock property distribution in a carbonate buildup. The predicted rock types showed close correspondence to core-based rock types, indicating their potential use in future porosity modeling and understanding rock distribution.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Daniel Guaman, Soledad Delgado, Jennifer Perez
Summary: The new era of information requires continuous change in software and technology, with decisions in software architectures needing to be (semi-)automated to keep up with rapid changes and avoid costly mistakes. This study utilizes Self-Organizing Maps to classify MVC patterns based on quality metrics and provides a knowledge base for decision-making in Java MVC applications by analyzing 24 metrics from 87 Java MVC applications.
Article
Engineering, Electrical & Electronic
Fei Du, Yu Zhang, Xiongwen Zhao, Suiyan Geng, Zihao Fu, Xiaoqing Wang, Lujia Yu, Qingliang Li
Summary: In this article, a self-organizing map with time-varying topological structure (SOM-TVS) clustering algorithm is proposed for optimizing wireless channel models. The algorithm does not require any prior knowledge and has a low complexity.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Chemistry, Multidisciplinary
Suellen M. Araujo, Sabrina B. M. Nery, Bianca G. Magalhaes, Kelson James Almeida, Pedro D. Gaspar
Summary: This study proposes an Artificial Neural Network-based severity index to classify Parkinson's disease patients based on their symptoms and predict the progression of the disease. The tool can assist medical professionals in early intervention and improving the quality of life for patients.
APPLIED SCIENCES-BASEL
(2023)
Article
Energy & Fuels
Na Xu, Wei Zhu, Ru Wang, Qiang Li, Zhiwei Wang, Robert B. Finkelman
Summary: Understanding the modes of occurrence of elements in coal is crucial for evaluating their environmental and health impacts and recovering critical elements from coal ash. This paper introduces the application of the self-organizing map algorithm in analyzing the modes of occurrence of elements in coal and compares it with the average linkage hierarchical clustering algorithm. The results show that the self-organizing map algorithm provides more consistent results with the geochemical nature and previous investigations.
INTERNATIONAL JOURNAL OF COAL GEOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Akhtar Jamil, Alaa Ali Hameed, Zeynep Orman
Summary: This paper proposes a novel variable learning rate method called VLRSOM to address the challenges of high accuracy with fast convergence and low topological error in the conventional Self-Organizing Maps (SOM). Experimental results show that the proposed method exhibits faster convergence and better topology preservation compared to other SOM techniques. It eliminates the tradeoff between convergence rate and accuracy while maintaining the topological relationship of the data.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Geochemistry & Geophysics
Amirreza Bigdeli, Abbas Maghsoudi, Reza Ghezelbash
Summary: In this study, the regional geochemical patterns of regularly sampled stream sediment data in the Moalleman district, northeast Iran were revealed using K-means and self-organizing map (SOM) as clustering methods. The data was processed using isometric log-ratio (ilr) transformation and principal component analysis (PCA), and then clustered using K-means and SOM. A supervised SOM model was also used to locate high anomalous zones. The results showed that the SOM models were superior to K-means in delineating geochemical anomaly targets.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2022)
Article
Computer Science, Information Systems
Shaoxuan Wang, Ramon Ferrus
Summary: This paper presents a methodology to cluster radio cells based on a combination of SOM and K-means methods. The methodology is applied to extract cell patterns of the long-term and short-term behavior of mobile cells. OAM datasets collected from a live 4G/LTE network deployed in a major European city are used for analysis.
Article
Computer Science, Artificial Intelligence
Marco Capo, Aritz Perez, Jose A. Lozano
Summary: In this article, a feature selection technique for the K-means algorithm is proposed, which is based on a novel feature relevance measure and aims to reduce K-means error and computational costs. Experimental results show that the proposed method consistently outperforms other feature selection techniques and feature extraction techniques in terms of clustering performance and computational time.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Environmental Sciences
Chenghao Zhong, Hao Wang, Qingchun Yang
Summary: Self-organizing maps (SOM) combined with hierarchical clustering were applied to analyze the hydrochemical characteristics of groundwater in the Yinchuan basin. The results identified three principal types of groundwater and revealed the predominant mechanisms in the hydrogeochemical evolution. The study concluded that the combined method of SOM and hierarchical clustering provides a reliable approach for interpreting the hydrochemical characteristics of groundwater with high-dimensional data.
Article
Thermodynamics
Hasan Merdun, Ismail Veli Sezgin
Article
Environmental Sciences
Hasan Merdun
ENVIRONMENTAL EARTH SCIENCES
(2014)
Article
Soil Science
H. Merdun
EURASIAN SOIL SCIENCE
(2010)
Article
Chemistry, Analytical
Hasan Merdun
Article
Environmental Sciences
Hasan Merdun
WATER AIR AND SOIL POLLUTION
(2012)
Article
Agricultural Engineering
Zakari Boubacar Laouge, Hasan Merdun
BIORESOURCE TECHNOLOGY
(2020)
Article
Energy & Fuels
Zakari Boubacar Laouge, Hasan Merdun
Article
Energy & Fuels
Zakari Boubacar Laouge, Asli Seyhan Ciggin, Hasan Merdun
Article
Green & Sustainable Science & Technology
Hasan Merdun, Zakari Boubacar Laouge
Summary: Thermal and kinetic analyses of co-pyrolysis of greenhouse vegetables wastes (GVW) and coal were conducted using TGA with different heating rates in this study. The synergistic effect between GVW and coal during co-pyrolysis was highlighted by calculating the deviation between experimental and calculated values of mass loss and mass loss rate. The blend of 50%wt showed the smallest activation energy and was identified as the best combination for the simultaneous valorization of GVW and coal through pyrolysis.
Article
Agriculture, Multidisciplinary
Recep Gundogan, Hasan Merdun, Ali Riza Demirkiran, Nigel Hall, Resul Agturk, Adem Erol, Sabit Ersahin
INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY
(2010)
Article
Environmental Sciences
Hasan Merdun, Oezer Cinar
ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL
(2010)
Article
Biotechnology & Applied Microbiology
Ramazan Meral, Andy Smerdon, Hasan Merdun, Ali Riza Demirkiran
AFRICAN JOURNAL OF BIOTECHNOLOGY
(2010)
Article
Energy & Fuels
Hasan Merdun, Ismail Veli Sezgin
INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH
(2018)
Article
Engineering, Environmental
Hasan Merdun, Oezer Cinar
ENVIRONMENT PROTECTION ENGINEERING
(2010)