A Comparative Analysis of Black-Box and Glass-Box Models for Poplar Plantation Mapping with Remote Sensing Data by M. Y. Ozturk, I. Colkesen

“…The study also assessed the most important features influencing the classification process. …”
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Conjecture Mapping an Integrated steM Camp to Support Middle School Students’ STEM Identity and STEM Interest by Queshonda J. Kudaisi, Michael J. Leonas-Cabrera

“…The findings revealed that most of the program features facilitated the intended mediating processes, which in turn influenced the intended outcomes. …”
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Mapping change in self narrative after prolonged exposure therapy: An exploration in recovery from functional dissociative seizures by Jon D. Perkins, Sam Meekings

“…In doing so, this process identifies important possible narrative markers underlying the psychological processes involved in FDS.…”
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Using Genealogical Mapping and Genetic Neighborhood Sizes to Quantify Dispersal Distances in the Neotropical Passerine, the Black-Capped Vireo. by Giridhar Athrey, Richard F Lance, Paul L Leberg

“…Dispersal is a key demographic process, ultimately responsible for genetic connectivity among populations. …”
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Boosting the Development and Management of Wind Energy: Self-Organizing Map Neural Networks for Clustering Wind Power Outputs by Yanqian Li, Yanlai Zhou, Yuxuan Luo, Zhihao Ning, Chong-Yu Xu

“…Aimed at the information loss problem of using discrete indicators in wind power output characteristics analysis, a self-organizing map neural network-based clustering method is proposed in this study. …”
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High-Resolution Mapping of Crossover and Non-crossover Recombination Events by Whole-Genome Re-sequencing of an Avian Pedigree. by Linnéa Smeds, Carina F Mugal, Anna Qvarnström, Hans Ellegren

“…As a consequence, we lack a detailed portrait of the recombination landscape for most organisms and knowledge on how this landscape impacts on sequence evolution at a local scale. …”
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A Systematic Mapping Study on Machine Learning Techniques Applied for Condition Monitoring and Predictive Maintenance in the Manufacturing Sector by Thuy Linh Jenny Phan, Ingolf Gehrhardt, David Heik, Fouad Bahrpeyma, Dirk Reichelt

“…With the increasing interest in process automation and the Internet of things since Industry 4.0 was introduced, such shop floors are growing in complexity. …”
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Perceptions of cervical screening uptake amongst South Asian women in Ontario, Canada: a concept mapping study by Kimberly Devotta, Aisha Lofters, Jacqueline Bender, Patricia O’Campo

“…This CM study recognizes the value of engaging those most impacted by an issue, to identify and prioritize how and where to intervene to address low rates of cervical screening. …”
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Mapping the Use of Artificial Intelligence–Based Image Analysis for Clinical Decision‐Making in Dentistry: A Scoping Review by Wei Chen, Monisha Dhawan, Jonathan Liu, Damie Ing, Kruti Mehta, Daniel Tran, Daniel Lawrence, Max Ganhewa, Nicola Cirillo

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Mapping <i>Polylepis</i> Forest Using Sentinel, PlanetScope Images, and Topographical Features with Machine Learning by Diego Pacheco-Prado, Esteban Bravo-López, Luis Á. Ruiz

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Geospatial digital mapping of soil organic carbon using machine learning and geostatistical methods in different land uses by Yahya Parvizi, Shahrokh Fatehi

“…Map of sampling points was prepared using the Latin hypercube sampling method. …”
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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

“…Although numerous studies have focused on remote sensing for LULC‎ mapping, there is a pressing need to improve the quality of LULC maps to achieve sustainable land management, especially in light of recent advancements made. …”
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A Deformation Field-Based Approach for Expression Processing in Head Motion Correction by Jiaqi Zhao, Jiaxu Zheng, Qun Chen

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Natural and Human Impacts on Coastal Areas by Francisco Asensio-Montesinos, Rosa Molina, Giorgio Anfuso, Giorgio Manno, Carlo Lo Re

“…Coasts are the most densely populated regions in the world and are vulnerable to different natural and human factors, e.g., sea-level rise, coastal accretion and erosion processes, the intensification of sea storms and hurricanes, the presence of marine litter, chronic pollution and beach oil spill accidents, etc. …”
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Two Opposite Change Patterns Before Small Earthquakes Based on Consecutive Measurements of Hydrogen and Oxygen Isotopes at Two Seismic Monitoring Sites in Northern Beijing, China by Yuxuan Chen, Fuqiong Huang, Leyin Hu, Zhiguo Wang, Mingbo Yang, Peixue Hua, Xiaoru Sun, Shijun Zhu, Yanan Zhang, Xiaodong Wu, Zhihui Wang, Lvqing Xu, Kongyan Han, Bowen Cui, Hongyan Dong, Boxiu Fei, Yonggang Zhou

“…We found significant four-stage patterns of change processes in δ²H and δ¹⁸O at both sites. …”
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Peningkatan Performa Pengelompokan Siswa Berdasarkan Aktivitas Belajar pada Media Pembelajaran Digital Menggunakan Metode Adaptive Moving Self-Organizing Maps by Onky Prasetyo, Ahmad Afif Supianto, Syaiful Anam, Hilman Ferdinandus Pardede, Vicky Zilvan, R. Budiarianto Suryo Kusumo

“…One of the most frequently used clustering methods is Self-Organizing Maps (SOM), SOM is a neural network method to maintain data topology when multidimensional input data is converted into output data with lower dimensions. …”
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Flood Detection and Susceptibility Mapping Using Sentinel-1 Time Series, Alternating Decision Trees, and Bag-ADTree Models by Ayub Mohammadi, Khalil Valizadeh Kamran, Sadra Karimzadeh, Himan Shahabi, Nadhir Al-Ansari

“…Flooding is one of the most damaging natural hazards globally. During the past three years, floods have claimed hundreds of lives and millions of dollars of damage in Iran. …”
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Multi-Sensor Flood Mapping in Urban and Agricultural Landscapes of the Netherlands Using SAR and Optical Data with Random Forest Classifier by Omer Gokberk Narin, Aliihsan Sekertekin, Caglar Bayik, Filiz Bektas Balcik, Mahmut Arıkan, Fusun Balik Sanli, Saygin Abdikan

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Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach by Mar Roca, Chengfa Benjamin Lee, Avi Putri Pertiwi, Alina Blume, Isabel Caballero, Gabriel Navarro, Dimosthenis Traganos

“…Our synoptic tool uses Sentinel-2 A/B satellite imagery at 10 m spatial resolution to generate a multi-temporal composite (2016–2022) of the Balearic Islands’ coastal waters within the Google Earth Engine cloud computing platform, optimizing image processing and highlighting the importance of a high-resolution bathymetric dataset to increase seagrass mapping accuracies. …”
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Remote Sensing of Alpine Peatlands: Challenges of Mapping Thousands of Sparse Small Sites Scattered Across Extensive Mountainous Territories by Qiqi Li, Manudeo Singh, Sonia Silvestri

“…The results show that the data set of single‐year time series multi‐source imagery, binary samples (peatland or non‐peatland), and 30 m DEM is the most effective for mapping alpine peatlands. The method achieved an overall accuracy of 90.5%, with 81.8% true positives and 0.8% false positives. …”
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