Detecting wetland encroachment and urban agriculture land classification in Uganda using hyper-temporal remote sensing [version 2; peer review: 1 approved, 2 approved with reservat... by Stella Kabiri, Rebecca Ssabaganzi, Beatrice Akello, Molly Allen, Drake Mubiru, Juduth Toma Okuonzia

“…We used MODIS NDVI 16-day composites at a 500-meter spatial resolution to broaden the analysis to distinguish distinctive crops and crop mixtures in the encroached wetlands for urban agriculture using the ISODATA clustering algorithm. Results: Over 30 years, 72,828 ha (73%) of the Wakiso-Kampala wetlands have been lost meanwhile agriculture areas have doubled. …”
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A Complex Network Approach for Quantitative Characterization and Robustness Analysis of Sandstone Pore Network Structure by Yuhao Hu, Guannan Liu, Feng Gao, Fengtian Yue, Tao Gao

“…Then, in view of the problem, which is difficult to quantify the detailed topological structure of the sandstone pore networks in the previous study, the new complex network theory is used to characterize the pore structure. PageRank algorithm is based on the number of connections between targets as a measure index to rank the targets, so the network degree distribution, average path length, clustering coefficient, and robustness based on PageRank algorithm and permeability-related topological parameters are studied. …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…This study presents the main approaches, algorithms, and data processing methods, including geoinformation systems (GIS), clustering, optimization algorithms, and various types of neural networks such as convolutional, recurrent, and deep networks. …”
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Measuring place rather than space: integrating landscape qualities for the urban–rural gradient using people’s perceptions and machine learning by Michal Switalski, Maarten Van Strien, Adrienne Grêt-Regamey

“…Regression models, dimensionality reduction and clustering algorithms were used to uncover patterns between perception (subjective) and spatial (objective) components such as land use, accessibility to services or low level visual features. …”
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Mapping topographic structure in white matter pathways with level set trees. by Brian P Kent, Alessandro Rinaldo, Fang-Cheng Yeh, Timothy Verstynen

“…Using diffusion spectrum imaging data collected on neurologically healthy controls (N = 30), we mapped white matter pathways from the cortex into the striatum using a deterministic tractography algorithm that estimates fiber bundles as dimensionless streamlines. …”
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Unsupervised learning-based quantitative analysis of CT intratumoral subregions predicts risk stratification of bladder cancer patients by Ying Wang, Hexiang Wang, Na Li, Siyu Wu, Rongchao Shi, Kui Sun, Ximing Wang

“…Developing and evaluating the performance of an unsupervised clustering algorithm-based intratumoral subregion radiomics model for distinguishing between bladder muscle invasion and AJCC stage. …”
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Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea by Congshuang Xie, Siqi Zhang, Zhenhua Zhang, Peng Chen, Delu Pan

“…This methodology includes an adaptive ellipse density-based spatial clustering of applications with noise (AE-DBSCAN) algorithm for ICESat-2 data extraction, which surpasses standard DBSCAN in terms of accuracy. …”
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Urban tree species classification using multisource satellite remote sensing data and street view imagery by Shufan Wang, Chun Liu, Shanshan Wei, Hao Tang

“…This paper aims to address this requirement by developing a large-scale urban tree species classification model through the combination of Global Ecosystem Dynamics Investigation (GEDI) data, GF-5 images, GF-6 images and Street View Imagery (SVI). …”
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Subgrouping autism and ADHD based on structural MRI population modelling centiles by Clara Pecci-Terroba, Meng-Chuan Lai, Michael V. Lombardo, Bhismadev Chakrabarti, Amber N. V. Ruigrok, John Suckling, Evdokia Anagnostou, Jason P. Lerch, Margot J. Taylor, Rob Nicolson, Stelios Georgiades, Jennifer Crosbie, Russell Schachar, Elizabeth Kelley, Jessica Jones, Paul D. Arnold, Jakob Seidlitz, Aaron F. Alexander-Bloch, Edward T. Bullmore, Simon Baron-Cohen, Saashi A. Bedford, Richard A. I. Bethlehem

“…We use HYDRA, a novel semi-supervised machine learning algorithm which clusters based on differences to controls and compare its performance to a traditional clustering approach. …”
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Comprehensive Analysis of Phenotypic Traits in Chinese Cabbage Using 3D Point Cloud Technology by Chongchong Yang, Lei Sun, Jun Zhang, Xiaofei Fan, Dongfang Zhang, Tianyi Ren, Minggeng Liu, Zhiming Zhang, Wei Ma

“…This study develops an innovative, comprehensive trait evaluation method based on 3D point cloud technology, with the aim of enhancing the precision, reliability, and standardization of the comprehensive phenotypic traits of Chinese cabbage. By using multi-view image sequences and structure-from-motion algorithms, 3D point clouds of 50 plants from each of the 17 Chinese cabbage varieties were reconstructed. …”
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Observing convective activities in complex convective organizations and their contributions to precipitation and anvil cloud amounts by Z. Wang, J. Yuan

“…In this work, based on hourly infrared brightness temperature (BT) satellite images, with a novel variable-BT tracking algorithm, complex convective organizations are partitioned into organization segments of single cold-core structures as tracking targets. …”
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Unsupervised detection of high-frequency oscillations in intracranial electroencephalogram: promoting a valuable automated diagnostic tool for epilepsy by Wenjing Chen, Tongzhou Kang, Md Belal Bin Heyat, Jamal E. Fatima, Yuanning Xu, Dakun Lai

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A Survey of Dental Caries Segmentation and Detection Techniques by Vincent Majanga, Serestina Viriri

“…It further looks into literature on segmentation and detection methods of dental images through deep learning. From the literature studied, we found out that methods were grouped according to the type of dental caries (proximal, enamel), type of X-ray images used (extraoral, intraoral), and segmentation method (threshold-based, cluster-based, boundary-based, and region-based). …”
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A Method of Modal Parameter Identification for Wind Turbine Blade Based on Binocular Dynamic Photogrammetry by Wenyun Wang, Xuejun Li, Anhua Chen

“…Experiment results show that good effects and stable accuracy can also be achieved with the presented photogrammetry vibration measurement and automatic modal identification algorithm.…”
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Neural correlates of device-based sleep characteristics in adolescents by Qing Ma, Barbara J. Sahakian, Bei Zhang, Zeyu Li, Jin-Tai Yu, Fei Li, Jianfeng Feng, Wei Cheng

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Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps. by Max Falkenberg, James A Coleman, Sam Dobson, David J Hickey, Louie Terrill, Alberto Ciacci, Belvin Thomas, Arunashis Sau, Fu Siong Ng, Jichao Zhao, Nicholas S Peters, Kim Christensen

“…Comparing our algorithm on image-based models with and without atrial fibre structure, we find that strong longitudinal fibre coupling can suppress the micro-reentrant substrate, whereas regions with disordered fibre orientations have an enhanced risk of micro-reentry. …”
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Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy. by Matthew R Baker, Bryan T Klassen, Michael A Jensen, Gabriela Ojeda Valencia, Hossein Heydari, Nuri F Ince, Klaus-Robert Müller, Kai J Miller

“…Current targeting practice is based on preoperative and intraoperative brain imaging, intraoperative electrophysiology, and stimulation mapping. …”
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Changing the Paradigm for Tractography Segmentation in Neurosurgery: Validation of a Streamline-Based Approach by Silvio Sarubbo, Laura Vavassori, Luca Zigiotto, Francesco Corsini, Luciano Annicchiarico, Umberto Rozzanigo, Paolo Avesani

“…ROI-based segmentation involved manually delineating ROIs on MR anatomical images in Trackvis (V0.6.2.1). Streamline-based segmentations were performed in Tractome, which integrates clustering algorithms with the visual inspection and manipulation of streamlines. …”
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DOG: An Object Detection Adversarial Attack Method by Jinpeng Li, Xiaoyu Ji, Wenyuan Xu, Yushi Cheng

“…Experimental results demonstrate that the DOG performs exceptionally well across the three image classification networks and six object detection networks. …”
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Deciphering respiratory viral infections by harnessing organ-on-chip technology to explore the gut–lung axis by Hristina Koceva, Mona Amiratashani, Parastoo Akbarimoghaddam, Bianca Hoffmann, Gaukhar Zhurgenbayeva, Mark S. Gresnigt, Vanessa Rossetto Marcelino, Christian Eggeling, Marc Thilo Figge, Maria-João Amorim, Alexander S. Mosig

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