Radiometric landscape: a new conceptual framework and operational approach for landscape characterisation and mapping by Louise Lemettais, Samuel Alleaume, Sandra Luque, Anne-Élisabeth Laques, Yonas Alim, Laurent Demagistri, Agnès Bégué

“…Landscape mapping has the potential to address some of the most pressing research issues of our time, including climate change, sustainable development, and human well-being. …”
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Map-Guided Coarse-to-Fine Lunar Rover Localization via Multiview Crater Matching by Chenming Ye, Zhizhong Kang, Xue Wan, Shuai Shao, Juntao Yang, Zhen Cao

“…The orientation of craters captured by the camera serves as positional information to guide a grid search and matching process within the map, achieving initial coarse localization. …”
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Advanced Residual Optimal Mapping Approach for Precise Detection of Stator Faults in Induction Motors by Abderrahim Allal, Zakaria Lammouchi, Abderrahmane Khechekhouche, Naoui Mohamed, Khalid Alqunun, Amer Alghadhban, Ismail Marouani, Tawfik Guesmi

“…Real-time FFT processing of stator current signals, compared to a healthy reference signal, gives rise to the advanced residual optimal mapping (AROMA) approach. …”
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Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution. by Ramón Lorenzo-Redondo, Soledad Delgado, Federico Morán, Cecilio Lopez-Galindez

“…Here, three-dimensional (3D) data driven fitness landscapes, derived from a collection of sequences from HIV-1 viruses after "in vitro" passages and labelled with the corresponding experimental fitness values, were created by SOM. These maps were used for the visualization and study of the evolutionary process of HIV-1 "in vitro" fitness recovery, by directly relating fitness values with viral sequences. …”
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SPECIALIZED MAPPING OF CRUSTAL FAULT ZONES. PART 1: BASIC THEORETICAL CONCEPTS AND PRINCIPLES by K. Zh. Seminsky

“…It provides for solution of problems dealing with ‘blank’ fracturing with account of seemingly chaotic fracture patterns, local initial observations, uncertainties of age relations, impacts of structural and material inhomogeneities, and long timelines of statistical data collection and processing. In view of the above, specialized mapping can be proposed as one of the most efficient methods of studying the fault structure of the Earth’s crust.Part 2 will describe cases of application of the proposed method to map fault zones and to identify fault types and stress fields varying in ages in the regions of faulting, including areas wherein rocks are poorly outcropped. …”
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EVALUATION OF STUDENTS’ IMAGES OF CITY CENTER: AKSARAY-TURKEY by Funda V. UZUN

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EVALUATION OF STUDENTS’ IMAGES OF CITY CENTER: AKSARAY-TURKEY by Funda V. UZUN

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Comprehensive Evaluation of the Lunar South Pole Landing Sites Using Self-Organizing Maps for Scientific and Engineering Purposes by Hengxi Liu, Yongzhi Wang, Shibo Wen, Sheng Zhang, Kai Zhu, Jianzhong Liu

“…In the weighting analysis of the comprehensive data, the weights of Earth visibility, hydrogen abundance, kilometer-scale roughness, and slope data all account for more than 10%, and these are thought to be the four most important factors in the automated site selection process. …”
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POLARIZATION REPRODUCTION OF STRUCTURAL ANISOTROPY MAPS OF BRAIN PREPARATIONS FOR DIFFERENTIAL DIAGNOSTICS OF HEMORRHAGES OF TRAUMATIC AND NON-TRAUMATIC GENESIS by М. Гараздюк, О. Ушенко, О. Дуболазов

“…Among the wide range of optical methods, one of the most effective has been distinguished - laser polarimetric diagnostics of the polycrystalline structure of biological layers. …”
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Integrated approach to land degradation risk assessment in arid and semi-arid Ecosystems: Applying SVM and eDPSIR/ANP methods by Ehsan Moradi, Hassan Khosravi, Pouyan Dehghan Rahimabadi, Bahram Choubin, Zlatica Muchová

“…Our objective is to predict LD hazard and vulnerability maps, and then combine them to identify areas at high risk. …”
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Factor Knowledge Mining Using the Techniques of AI Neural Networks and Self-Organizing Map by Pao-Kuan Wu, Tsung-Chih Hsiao

“…The experimental material is conducted by the investigation of street night market in Taiwan. NNSOM process can yield two results about factor knowledge: first, which factor is the most important factor for the development of street night market; second, what value of this factor is most positive to the development of street night market. …”
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T2 mapping and q-Dixon for assessment of intervertebral disc degeneration in lower back pain by Futing Feng, Wei Wang, Shiwei Liu, Lusi Liu, Mixue Sun, Rui Jiang, Meining Chen, Min Luo

“…Abstract Background Low back pain(LBP) is very common among the population, and intervertebral disc(IVD) degeneration is considered to be the most common cause of LBP, but the pathophysiological process between IVD degeneration and LBP is not very clear. …”
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Mapping and researching trends in volleyball training methods and technological advancements from 2015 to 2025 by Daryono Daryono, Tandiyo Rahayu, Taufiq Hidayah, Donny Wira Yudha Kusuma, Agung Wahyudi

“…Results: The results of the analysis and research show that 2024 will have the highest number of publications with 35 publications. The most prolific authors and institutions that contributed the most documents came from Brazil, with 37 publications. …”
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Analysis and spatial mapping of antimicrobial prescription completeness and legibility in a public community pharmacy by Friedemann BERGER, Fabrícia Benda OLIVEIRA, Sérgio Henriques SARAIVA, Ariadne Marra SOUZA, Carlos Henrique OLIVEIRA, Larissa COUTO-ROSA, Genival Araujo SANTOS-JÚNIOR

“…Methods The antimicrobial prescriptions retained at the Community Pharmacy in the municipality of Alegre, from March 2018 to February 2019, underwent a simple random sampling process to obtain the sample for analysis. In addition, data on the origin of the prescription were georeferenced, generating a map correlating the evaluation of the legibility of the prescriptions with the health units of the municipality. …”
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Future Scenario of Global Climate Map change according to the Köppen -Geiger Climate Classification by fahmy Osman Mohammed, Anwar Othman Mohammad, Hivi Shawket Ibrahim, Rozhgar Abdullah Hasan

“…The results of this study provide useful information on future climate Köppen-Geiger maps and areas that will most likely be affected by climate change in the following decades…”
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WordMap: Text Mining Application of Enhanced Corpus Segmentation and Semantic Topic Recognition by Zhijian Wei, Huiwen Zou, Patrick Cheong-Iao Pang, Penny Wong-On Chao, Benjamin K. Ng

“…This study presents WordMap, an integrated text mining application developed to enhance the efficiency and usability of text analysis over a network. …”
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A Global Dataset Mapping the AI Innovation from Academic Research to Industrial Patents by Haixing Gong, Hui Zou, Xingzhou Liang, Shiyuan Meng, Pinlong Cai, Xingcheng Xu, Jingjing Qu

“…Abstract In the rapidly evolving field of artificial intelligence (AI), mapping innovation patterns and understanding effective technology transfer from research to applications are essential for economic growth. …”
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MAPPING THE LEVEL OF PREPAREDNESS COMMUNITY FOR EARTHQUAKE DISASTER USING SPATIAL APPROACH IN CENTRAL OF SULAWESI by Amalia Novarita, Rahmawati Rahmawati, Exsa Putra

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Integrating Environmental Variables into Geostatistical Interpolation: Enhancing Soil Mapping for the MEDALUS Model in Montenegro by Stefan Miletić, Jelena Beloica, Predrag Miljković

“…Geostatistical methods are important in analyzing natural resources providing input data for complex mathematical models that address environmental processes and their spatial distribution. Ten interpolation methods and one empirical-based classification grounded in empirical knowledge, with a total of 929 soil samples, were used to create the most accurate spatial prediction maps for clay, sand, humus, and soil depth in Montenegro. …”
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Assessing Coincidence of Satellite Acquisitions and Flood Events to Predict Suitability for Flood Map Synthesis by Lyle Prince, Riley C. Hales, Kel N. Markert, E. James Nelson, Gustavious P. Williams, Daniel P. Ames, Hyongki Lee, Amirhossein Rostami

“…A better understanding of flooding in an area can enable an improved emergency response before a flood hits. Flood maps are a crucial tool to translate what, for most, is an abstract streamflow into a more understandable and actionable representation of who and what is at risk. …”
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