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    Neural networks with personalized training for improved MOLLI T1 mapping by Olympia Gkatsoni, Christos G. Xanthis, Sebastian Johansson, Einar Heiberg, Håkan Arheden, Anthony H. Aletras

    Published 2025-07-01
    “…Conclusions Compared to T1 maps derived by conventional fitting, PTNN is a post-processing method that yielded T1 maps with higher values and better accuracy in phantoms for a physiological range of T1 and T2 values. …”
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    Article
  3. 43

    Deciphering the spectra of flowers to map landscape‐scale blooming dynamics by Yoseline Angel, Ann Raiho, Dhruva Kathuria, K. Dana Chadwick, Philip G. Brodrick, Evan Lang, Francisco Ochoa, Alexey N. Shiklomanov

    Published 2025-02-01
    “…Mapping flowering events from modeling spectro‐temporal dynamics throughout the season, from pre‐blooming to post‐flowering stages, allowed us to identify gradient variations in spectral features within the VSWIR spectral range linked to flowering pigments. …”
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  4. 44

    Multi-Component Remote Sensing for Mapping Buried Water Pipelines by John Lioumbas, Thomas Spahos, Aikaterini Christodoulou, Ioannis Mitzias, Panagiota Stournara, Ioannis Kavouras, Alexandros Mentes, Nopi Theodoridou, Agis Papadopoulos

    Published 2025-06-01
    “…Accurate localization of buried water pipelines in rural areas is crucial for maintenance and leak management but is often hindered by outdated maps and the limitations of traditional geophysical methods. …”
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    Article
  5. 45

    Mapping of quorum sensing interaction network of commensal and pathogenic staphylococci by Bengt H. Gless, Benjamin S. Sereika-Bejder, Iben Jensen, Martin S. Bojer, Katerina Tsiko, Sabrina H. Schmied, Ludovica Vitolo, Bruno Toledo-Silva, Sarne De Vliegher, Hanne Ingmer, Christian A. Olsen

    Published 2025-08-01
    “…We identified six of these ribosomally synthesized and post-translationally modified peptides (RiPPs) in this study and compiled the full collection of AIPs by chemical synthesis. …”
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    Article
  6. 46

    Regional Spatial Mean of Ionospheric Irregularities Based on K-Means Clustering of ROTI Maps by Yenca Migoya-Orué, Oladipo E. Abe, Sandro Radicella

    Published 2024-09-01
    “…K-means was used to obtain a spatial mean index through an optimal stratification of regional post-processed ROTI maps. The results obtained could be adapted by appropriate K-means algorithms to a real-time scenario, as has been performed for other applications. …”
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    Article
  7. 47

    Transfer Learning based Image Classification of Diseased Tomato Leaves with Optimal Fine-Tuning combined with Heat Map Visualization by Sivakumar Palanıswamy, Vijayakumar Vaıthyam Rengarajan, Sandhya Devi Ramıah Subburaj

    Published 2023-11-01
    “…Further, activations are used to generate an attention map in the form of Heat Maps which are included as a post-processing step before the classification of the output. …”
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    Article
  8. 48

    The Use of Data Mining in Public Budgeting: A Systematic Literature Mapping by Jose Claudio Guedes Das Neves, Veronica Oliveira De Carvalho

    Published 2025-01-01
    “…Generally, data mining consists of three major steps: pre-processing, pattern extraction, and post-processing. …”
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    Article
  9. 49

    Low-Cost Solution for Kinematic Mapping Using Spherical Camera and GNSS by Lukáš Běloch, Karel Pavelka

    Published 2025-05-01
    “…The research involves the development of a methodology and software for georeferencing spherical images, created by the kinematic method, using GNSS RTK (Real-Time Kinematics) or PPK (Post-Processing Kinematics) coordinates. Testing was carried out in two case studies where the environment surveyed had varying properties. …”
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    Article
  10. 50

    Design and Implementation of One Map Platform for Water Conservancy Spatial Planning by YANG Chuhua, XU Bing, CHEN Yubing, ZHANG Bo, JIANG Maoxi

    Published 2021-01-01
    “…,are better solved.This study utilizes Big data,3S,VR and other new generation information technology to construct a map platform for water conservancy spatial planning,develop function modules such as large data portal in time and space,auxiliary audit of planning results,management of planning results,display of planning aggregation,statistics and post-evaluation,and realize auxiliary audit,evaluation and visual expression of water conservancy planning data on one map.To realize the integrated management of water planning from the planning,implementation,post evaluation,life cycle,to provide the key technical means for the water conservancy spatial planning business objectives of “working basis from the diagram,working process to map synergy,work results to map”,and ultimately improve the level of refinement and intelligence of water conservancy planning and management.…”
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    Article
  11. 51

    Mind Mapping Assisted Talking Stick Learning Model on Speaking Skills by Putu Agus Putra Sastrawan, Dewa Nyoman Sudana

    Published 2021-03-01
    “… Low student speaking skills can result in a less active learning process. This research aimed to know the talking stick learning model's significant effect with mind mapping for speaking skills in fifth-grade students. …”
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    Article
  12. 52

    Mapping spatio-temporal patterns of creative industries development in the Czech Republic by Pavel Bednář, Lukáš Danko

    Published 2018-12-01
    “…Creative industries characterized by subsectors of architecture, design, and advertising represent an important segment in im-plementation of post-Fordist economy principles. Hence, the governments and scholars are devoted to quantitative mapping of crea-tive industries. …”
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    Article
  13. 53

    Higher education for sustainable development in the digital era: Mapping the bibliometric analysis by Artur Zhavoronok, Nataliia Kholiavko, Olha Popelo, Maksym Dubyna, Liudmyla Verbivska, Maiia Fedyshyn

    Published 2024-11-01
    “…In the research process, bibliometric analysis, an in-built Scopus instrument, and VOSviewer were used. …”
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    Article
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    An open-source, QGIS-based solution for digital geological mapping: GEOL-QMAPS by Julien Perret, Mark W. Jessell, Eliott Bétend

    Published 2024-12-01
    “…A fact map, created from field data collected across the Archean Sula-Kangari greenstone belt in Sierra Leone, demonstrates the solution's advantages in terms of post-field processing and raw field data sharing.…”
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    Deep learning and georeferenced RGB-D imaging for hydroponic strawberry yield mapping by Camilo Pardo-Beainy, Carlos Parra, Leonardo Solaque, Won Suk Lee

    Published 2025-12-01
    “…In general, this work presents a systematic methodology for the extraction and visualization of information in fruit crops using computer vision and deep learning, showcasing a robust yield mapping system. The approach integrates pre-processing and post-processing steps, as well as 2D–3D image acquisition, georeferencing, and processing technologies, offering thus a novel solution for accurate and efficient hydroponic strawberry yield mapping.…”
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    Article
  18. 58

    Unlocking Cognitive Horizons by Exploring the Influence of Maps on Primary School Pupils: An Examination Conducted in North Macedonia by Hüseyin Zahit Selvi, Edmond Jonuzi

    Published 2024-09-01
    “…Ultimately, the findings of this study are expected to inform educational stakeholders by furnishing empirical evidence on the advantages of incorporating maps into the learning process for young learners, thus contributing to more effective educational practices. …”
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    Computing the Dirichlet-to-Neumann map via an integral equation with the adjoint generalized Neumann kernel by Samir Naqos, Ali H.M. Murid, Mohamed M.S. Nasser, Su Hoe Yeak

    Published 2024-12-01
    “…Contrary to the classical approach which requires numerical differentiation in a post-processing step, our method allows computing the Dirichlet-to-Neumann map directly without the need of numerical differentiation in post-processing. …”
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    Article