Geoinformation support for strategic planning and monitoring of regional development of Ukraine under martial law by A. Koshel, D. Koshel, O. Kempa

“…This research paper considers the use of modern GIS as a tool for collecting, analysing and visualising geospatial data, which allows for prompt decision-making on regional development in the areas of infrastructure rehabilitation, land management and assessment of the environmental impact of military operations. …”
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Application of Three-Dimensional Hierarchical Density-Based Spatial Clustering of Applications with Noise in Ship Automatic Identification System Trajectory-Cluster Analysis by Shih-Ming Wang, Wen-Rong Yang, Qian-Yi Zhuang, Wei-Hong Lin, Mau-Yi Tian, Te-Jen Su, Jui-Chuan Cheng

“…Clustering algorithms are widely used in statistical data analysis as a form of unsupervised machine learning, playing a crucial role in big data mining research for Maritime Intelligent Transportation Systems. …”
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The role of electroneuromyography evaluation of the bulbocavernosal reflex in the diagnosis of pelvic nerve damage in patients with chronic pelvic pain syndrome by I. A. Labetov, G. V. Kovalev, O. V. Volkova, R. R. Shakirova, A. A. Berdichevskaya, D. D. Shkarupa

“…Retrospective cohort study, which included 75 data from patients with (CPPS) who underwent needle-guided ENMG recording of BCR. …”
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Trends in HPV‐associated cancer incidence in Texas medically underserved regions by Thao N. Hoang, Abbey B. Berenson, Yong Shan, Fangjian Guo, Victor Adekanmbi, Christine Hsu, Xiaoying Yu, Yong‐Fang Kuo

“…Cases of HPV‐associated cervical, vaginal, vulvar, penile, anal, and oropharyngeal cancers and corresponding patient‐level demographic data were included. We calculated IR per 100,000 and drew heat maps to visualize cancer IR by county. …”
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Population Pharmacokinetics of Osimertinib in Patients With Non‐Small Cell Lung Cancer by Martin Johnson, Yu‐Wei Lin, Henning Schmidt, Mikael Sunnaker, Eline Van Maanen, Xiangning Huang, Yuri Rukazenkov, Helen Tomkinson, Karthick Vishwanathan

“…Goodness‐of‐fit plots indicated that the model adequately described all data. Visual predictive checks showed that the final model validated osimertinib steady‐state PK for adjuvant treatment. …”
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Examining associations of digestive system cancer with hypertension and diabetes using network analysis in older patients by Hidenori Hashimoto, Shuko Nojiri, Tsutomu Takeda, Wataru Urasaki, Yuji Nishizaki, Akihito Nagahara, Shigeki Aoki

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Generative Adversarial Networks In Object Detection: A Systematic Literature Review by Anis Farihan Mat Raffei, Sinung Suakanto, Faqih Hamami, Mohd Arfian Ismail, Ferda Ernawan

“…The paper investigates three primary domains where GANs have demonstrated remarkable potential: data augmentation for addressing data scarcity, occlusion handling techniques designed to manage visually obstructed objects, and enhancement methods specifically focused on improving small object detection performance. …”
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Transforming Monochromatic Images into 3D Holographic Stereograms Through Depth-Map Extraction by Oybek Mirzaevich Narzulloev, Jinwon Choi, Jumamurod Farhod Ugli Aralov, Leehwan Hwang, Philippe Gentet, Seunghyun Lee

“…This study has significant implications for cultural preservation, personal archiving, and the generation of life-like holographic images with minimal input data. By bridging the gap between historical photographic sources and modern holographic techniques, our approach opens up new possibilities for memory preservation and visual storytelling.…”
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Investigating Brute Force Attack Patterns in IoT Network by Deris Stiawan, Mohd. Yazid Idris, Reza Firsandaya Malik, Siti Nurmaini, Nizar Alsharif, Rahmat Budiarto

“…The experiments use the IoT network testbed that mimic the internal attack scenario with three major goals: (i) to provide a topological description on how an insider attack occurs; (ii) to achieve attack pattern extraction from raw sniffed data; and (iii) to establish attack pattern identification as a parameter to visualize real-time attacks. …”
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Multimodal-Based Non-Contact High Intraocular Pressure Detection Method by Zibo Lan, Ying Hu, Shuang Yang, Jiayun Ren, He Zhang

“…To address these limitations, we present a multi-modal framework incorporating CycleGAN for data augmentation, Swin Transformer for visual feature extraction, and the Kolmogorov–Arnold Network (KAN) for efficient fusion of heterogeneous data. …”
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Explainable few-shot learning workflow for detecting invasive and exotic tree species by Caroline M. Gevaert, Alexandra Aguiar Pedro, Ou Ku, Hao Cheng, Pranav Chandramouli, Farzaneh Dadrass Javan, Francesco Nattino, Sonja Georgievska

“…By integrating a Siamese network with explainable AI (XAI), the workflow enables the classification of tree species with minimal labeled data while providing visual, case-based explanations for the predictions. …”
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GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer by Deressa Wodajo Deressa, Hannes Mareen, Peter Lambert, Solomon Atnafu, Zahid Akhtar, Glenn Van Wallendael

“…Our model combines ConvNeXt and Swin Transformer models for feature extraction, and it utilizes an Autoencoder and Variational Autoencoder to learn from latent data distributions. By learning from the visual artifacts and latent data distribution, GenConViT achieves an improved performance in detecting a wide range of deepfake videos. …”
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WAYVision: A hybrid deep learning approach for recognizing handwritten Kannada Braille using wavelet transformation and attention based YOLOv5 by Bipin Nair B J, Niranjan, Saketh P, Shobha Rani N

“…Handwritten Braille character recognition presents a significant challenge in the field of assistive technology, especially with the inclusion of various linguistic scripts such as Kannada. The data set is uniquely curated, combining ground-truth data from Kaggle and real-world samples collected from blind schools, segmented into vowels and consonants. …”
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A fusion analytic framework for investigating functional brain connectivity differences using resting-state fMRI by Yeseul Jeon, Jeong-Jae Kim, SuMin Yu, Junggu Choi, Sanghoon Han, Sanghoon Han

“…The framework involves three steps: first, constructing ROI-based Functional Connectivity Networks (FCNs) to manage resting-state fMRI data; second, employing a Self-Attention Deep Learning Model (Self-Attn) for binary classification to generate attention distributions encoding group-level differences; and third, utilizing a Latent Space Item-Response Model (LSIRM) to extract group-representative ROI features, visualized on group summary FCNs.ResultsWe applied our framework to analyze four types of cognitive impairments, demonstrating their effectiveness in identifying significant ROIs that contribute to the differences between the two disease groups. …”
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The Use of Technology in Evaluation Practice by Vanessa Jamieson, Tarek Azzam

“… Background: Evaluation practice is no longer limited to pencil and paper questionnaires, today technological advances allow evaluators to collect data with handheld devices, visualize information in interactive ways, and communicate instantaneously with stakeholders across the globe. …”
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Identification of Alzheimer’s disease brain networks based on EEG phase synchronization by Jiayi Cao, Bin Li, Xiaoou Li

“…Firstly, the acquired EEG data were preprocessed to extract the data in the α-band at 8–13 Hz; secondly, the phase lag index (PLI) and phase-locked value (PLV) were used to construct the brain functional network, and the brain functional connectivity map was visualized by brain functional connectivity analysis. …”
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Mapping Crop Types and Cropping Patterns Using Multiple-Source Satellite Datasets in Subtropical Hilly and Mountainous Region of China by Yaoliang Chen, Zhiying Xu, Hongfeng Xu, Zhihong Xu, Dacheng Wang, Xiaojian Yan

“…Apart from the endmember variables, the other five extracted variable types are selected by the RF classifier for both winter and summer crop classifications. (2) SAR data can capture the key information of summer crops when optical data is limited, and the addition of SAR data can significantly improve the accuracy as to summer crop types. (3) The overall accuracy (OA) of both summer and winter crop type mapping exceeded 95%, with clear and relatively accurate cropland boundaries. …”
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The Association of Retinal Disease with Vision Impairment and Functional Status in Medicare Patients by Vincent Garmo, Xiaohui Zhao, Carmen D. Ng, Aimee Near, Tania Banerji, Keiko Wada, Gary Oderda, Diana Brixner, Joseph Biskupiak, Ferhina S. Ali, Archad M. Khanani, Alicia Menezes, Ibrahim M. Abbass

“… # Methods Medicare Current Beneficiary Survey data linked with Medicare Fee-for-Service claims data from 2006 to 2018 were used in a nationally representative retrospective pooled cross-sectional population-based comparison study. …”
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A prediction model for 30-day mortality in patients with ARDS admitted to the intensive care unit by Fengjuan Jia, Guodong Xia, Lirong Hu, Fanjie Zhang, Yuexi Huang, Chaobing Yang, Li Liu, Xianying Lei

“…After processing these data, we performed correlation analysis between various types of variables and plotted a heat map to visualize the significance of these correlations. …”
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Detecting and measuring fine-scale urban tree canopy loss with deep learning and remote sensing by David Pedley, Justin Morgenroth

“…The accuracy of UTC loss predictions was validated using a visual comparison of aerial imagery and LiDAR data, with UTC loss quantified for each property within the study area.The loss detection method achieved accurate results for the property-scale identification of UTC loss, including a mean F1 score of 0.934 and a mean IOU of 0.883. …”
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