Machine Learning-Based Cerrado Land Cover Classification Using PlanetScope Imagery by Thanan Rodrigues, Frederico Takahashi, Arthur Dias, Taline Lima, Enner Alcântara

“…Three machine learning methods were evaluated: Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost). A post-processing process was applied to avoid misclassification of forest in areas of savanna. …”
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FocusDet: an efficient object detector for small object by Yanli Shi, Yi Jia, Xianhe Zhang

“…It is used to perform feature fusion on the extracted feature maps to supplement feature information.In the feature fusion network, FocusDet uses Bottom Focus-PAN to capture a wider range of locations and lower-level feature information of small objects.SIOU-SoftNMS is the proposed algorithm for removing redundant prediction boxes in the post-processing stage. …”
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Hybrid approaches enhance hydrological model usability for local streamflow prediction by Yiheng Du, Ilias G. Pechlivanidis

“…We investigate various post-processing methods, such as random forest, long short-term memory model, quantile mapping and generalised linear model, demonstrating notable improvements in model performance, in terms of reducing errors in total volume and extremes and increasing robustness across diverse climatic and geographic conditions. …”
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Approximate inverse measurement channel for shallow shadows by Riccardo Cioli, Elisa Ercolessi, Matteo Ippoliti, Xhek Turkeshi, Lorenzo Piroli

“…Still, shallow shadows involve the inversion of a many-body map, the measurement channel, which requires non-trivial computations in the post-processing step, thus limiting its applicability when the number of qubits $N$ is large. …”
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Fast Anomaly Detection for Vision-Based Industrial Inspection Using Cascades of Null Subspace PCA Detectors by Muhammad Bilal, Muhammad Shehzad Hanif

“…Anomaly detection in industrial imaging is critical for ensuring quality and reliability in automated manufacturing processes. While recently several methods have been reported in the literature that have demonstrated impressive detection performance on standard benchmarks, they necessarily rely on computationally intensive CNN architectures and post-processing techniques, necessitating access to high-end GPU hardware and limiting practical deployment in resource-constrained settings. …”
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Improving In Vivo High-Resolution CT Imaging of the Tumour Vasculature in Xenograft Mouse Models through Reduction of Motion and Bone-Streak Artefacts. by Veerle Kersemans, Pavitra Kannan, John S Beech, Russell Bates, Benjamin Irving, Stuart Gilchrist, Philip D Allen, James Thompson, Paul Kinchesh, Christophe Casteleyn, Julia Schnabel, Mike Partridge, Ruth J Muschel, Sean C Smart

“…Although some artefacts can be partially corrected for during image processing, they are best avoided during acquisition. …”
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Artificial intelligence as planetary assemblages of coloniality: The new power architecture driving a tiered global data economy by Kai-Hsin Hung

“…Our post-colonial framework unpacks AI through its (1) global, (2) meso, and (3) local layers, and further dissects how these layers are vertically integrated, each with its horizontal dependencies. …”
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Method and Validation of Real‐Time Global Ionosphere Modeling Constraint by Multi‐Source GNSS/LEO Data by Jun Chen, Xiaodong Ren, Guozhen Xu, Pengxin Yang, Hang Liu, Xiaohong Zhang

“…Abstract This study applies the zero‐differenced integer ambiguity method, named PPP‐Fixed, to extract real‐time ionospheric data and eliminate the latencies of rapid/final Global Ionosphere Maps (GIMs). The PPP‐Fixed method is also used to derive ionospheric data for post‐processed GIM generation, named SGG Post‐GIM, combined with low earth orbit satellite data. …”
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Capabilities of the WRF-Chem model in estimating the concentration of dust – A case study of a dust storm in Tehran by Amirhossein Nikfal, Abbas Ranjbar Saadatabadi, Sara Karami, Saviz Sehatkashani

“…Particulate matters in the MADE aerosol scheme are modelled in the three modes of Aitken (less than 0.1 micro-meter), accumulation (between 01 to 2 micrometers) and coarse (greater than 2 micro-meters).Results and discussion: For the verification of the model WRF/Chem using post-processing programmemes, PM10 distribution maps are provided alongsides its concentration. …”
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Drawing as witness. The Betta-Bardelli Archive between historical memory and digital innovation by Maurizio Marco Bocconcino, Mariapaola Vozzola, Martino Pavignano

“…<br />This archive thus becomes both a tool for re- search and a medium for narrating urban trans- formation processes through interactive maps and information models linked to and drawings of the historical Archive.…”
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Characteristic parameter analysis of magnetic resonance diffusion tensor imaging in children with autism spectrum disorder: a retrospective study by Qianfang Jia, Xiaofang Wang, Xiwan Li, Shasha Li, Ming Wang, Luping Wang, Bingxiang Ma, Meng Zhang

“…A 32-channel cranial nerve coil of a GE Signa HDxt 3.0T magnetic resonance system was used for the examination, and the FA and ADC maps were obtained by post-processing the DTI raw diffusion images with the Functool function software in the workstation. …”
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The Effect of Quantum Learning Model on Attitude, Anxiety, and Achievement of Middle School Students Towards Mathematics by Mehmet Bahaddin Acat, Dilek Girit Yıldız

“…The experimental group experienced a decrease in post-test mean scores of anxiety, which was not statistically significant, whereas the control group experienced a statistically significant increase in post-test scores. …”
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Predictive Understanding of Links Between Vegetation and Soil Burn Severities Using Physics‐Informed Machine Learning by Seyd Teymoor Seydi, John T. Abatzoglou, Amir AghaKouchak, Yavar Pourmohamad, Ashok Mishra, Mojtaba Sadegh

“…Abstract Burn severity is fundamental to post‐fire impact assessment and emergency response. …”
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Stakeholder involvement in the curricula modernisation through a virtual foresight laboratory by E. K. Nauryzbayeva, V. V. Bezhina, T. R. Pchelkina, K. S. Brimzhanova, S. S. Brimzhanova

“…Two in-depth face-to-face interview sessions with the focus groups (FG) participants (1 entry interview and 1 post-sessional interview) were organised and processed.Results. …”
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Design and Implementation of a Dual Uncrewed Surface Vessel Platform for Bathymetry Research Under High-Flow Conditions by Dinesh Kumar, Amin Ghorbanpour, Kin Yen, Iman Soltani

“…The BEP-USV, which mirrors the NAC-USV hardware, is then used for additional control validation and in-depth exploration of bathymetry data evaluation and post-processing methodologies. We detail the design and implementation of both USV systems, open source hardware and software design, and the bill of material. …”
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Co-developing an intervention to facilitate safe and early transition to neonatal home care for very preterm infants: a mixed-method study evaluating the impact of patient and publ... by Sofia Arwehed, Ylva Thernström Blomqvist, Elin Carlsson Filipowicz, Anna Axelin

“…Field notes, post-it notes, mind maps, and audio recordings supported data validation. …”
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GaitCSF: Multi-Modal Gait Recognition Network Based on Channel Shuffle Regulation and Spatial-Frequency Joint Learning by Siwei Wei, Xiangyuan Xu, Dewen Liu, Chunzhi Wang, Lingyu Yan, Wangyu Wu

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APPLICATION OF KINEMASTER-BASED AUDIO VISUAL LEARNING MEDIA IN THE SUBJECT OF SOCIAL SCIENCES AT SMPN 1 KALITIDU by Fitah Rizqia Rahmawati, Sugiyanto Sugiyanto, Chatarina Muryani

“…The data proves that students' spatial thinking skills are still weak and can cause difficulties in interpreting maps in social studies geography learning. The ineffective use of computer laboratories and android-based mobile phones in the learning process is one of the causes. …”
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Iraqi Women in Diasporic Spaces: Political Mobilization, Gender &amp; Citizenship by Nadje Al-Ali

“…The comparative dimension is particularly important since general political climate and culture, as well as historical migration trajectories, gender ideologies and relations vary in the three host countries. The author maps out the existing women’s organizations, groups and networks and discusses impediments and obstacles to a greater involvement in political processes. …”
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Towards clinical applicability of fMRI via systematic filtering. by Jan Willem Koten, André Schüppen, Guilherme Wood, Martin Holler

“…For this purpose, we have developed a framework for post-processing fMRI signals using Savitzky-Golay (SG) filters in conjunction with general linear model (GLM) based data cleaning. …”
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