RGB-to-Infrared Translation Using Ensemble Learning Applied to Driving Scenarios by Leonardo Ravaglia, Roberto Longo, Kaili Wang, David Van Hamme, Julie Moeyersoms, Ben Stoffelen, Tom De Schepper

“…To address this, we propose an augmentation method that synthesizes realistic IR data from RGB images using gradient-boosting decision trees. …”
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An Early Detection of Asthma Using BOMLA Detector by Md. Abdul Awal, Md. Shahadat Hossain, Kumar Debjit, Nafiz Ahmed, Rajan Dev Nath, G. M. Monsur Habib, Md. Salauddin Khan, Md. Akhtarul Islam, M. A. Parvez Mahmud

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NEURAL NETWORKS INTEGRATION INTO LEGAL RESOURCES FOR ANTI-СORRUPTION MEASURES IN INTERNATIONAL ECONOMIC CO-OPERATION by Oleksii Makarenkov

“…In this context, the composition, adequacy, classification, and other characteristics of financial data, as well as access rights and regulations governing the use of neural network analysis results, play a crucial role. …”
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Perbedaan Keterampilan Berpikir Kritis Siswa yang Berbantuan Media Audio Visual dan LKS Cetak Sebagai Panduan Percobaan pada Metode Eksperimen dengan Pendekatan Verifikasi Kelas XI... by suryandari suryandari

“…Data were obtained  from posttest and psychomotor observation  scores. …”
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User Experiences Among Patients and Health Care Professionals Who Participated in a Randomized Controlled Trial of E-nergEYEze, a Vision-Specific eHealth Intervention to Reduce Fat... by Manon HJ Veldman, Hilde PA van der Aa, Hans Knoop, Christina Bode, Ger HMB van Rens, Ruth MA van Nispen

“…The eHealth platform provided data on user engagement from both perspectives. …”
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La géovisualisation de données massives sur le Web : entre avancées technologiques et évolutions cartographiques by Boris Mericskay

“…Technical advances in big data and web-based 3D visualisation are reinventing geovisualisation practices. …”
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Visual analysis of traditional Chinese medicine nursing research on post-stroke sleep disorders based on CiteSpace (基于CiteSpace的脑卒中后睡眠障碍中医护理研究可视化分析)... by GAO Ziqi (高子琪), LIAO Ruoyi (廖若夷), YU Yanlan (余艳兰), SI Huijie (佀惠婕), LIU Bin (刘彬), GUO Yuan (郭元)

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Reconcilable differences: Using retrospective photogrammetry to bridge the divide between analogue and digital site data collected during long-term excavation projects. by Ole Fredrik Unhammer, Magnus Mathisen Haaland, Simon James Armitage, Christopher Stuart Henshilwood, Karen Loise van Niekerk

“…Today, most archaeological field data sets are produced using digital tools that store spatial and visual information in various digital formats directly, i.e., born-digital. …”
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Method to apply temporal graph analysis on electronic patient record data to explore healthcare professional–patient interaction intensity: a cohort study by Neil J Sebire, Stephen D Marks, John Booth, Spiros Denaxas, Rebecca Pope, William A Bryant, Maria H Eriksson

“…Aim Interactions between patients and healthcare professionals (HCP) during hospital admissions are complex and difficult to interrogate using traditional analysis of electronic patient record (EPR) data. The objective of this study was to determine the feasibility of applying temporal network analytics to EPR data, focusing on HCP–patient interactions over time.Method Network (graph) analysis was applied to routinely collected structured data from an EPR for HCP interactions with individual patients during admissions for patients undergoing renal transplantation between May 2019 and June 2023. …”
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Extraction de connaissances dans un Data Warehouse à l’aide de nuées dynamiques et l’arbre de décision by Erick NGINDU BEYA

“…Cet article présente une méthode d’extraction de connaissances à partir d’un data Warehouse en utilisant des techniques de nuées dynamiques et d’arbres de décision. …”
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Anti-VEGF drugs compared with laser photocoagulation for the treatment of proliferative diabetic retinopathy: a systematic review and individual participant data meta-analysis by Mark Simmonds, Alexis Llewellyn, Ruth Walker, Helen Fulbright, Matthew Walton, Rob Hodgson, Laura Bojke, Lesley Stewart, Sofia Dias, Thomas Rush, João Pereira Figueira, Sobha Sivaprasad, John G Lawrenson, Tunde Peto, David Steel

“…Network meta-analyses of best corrected visual acuity and meta-analyses of other outcomes combined individual participant data with published data from other trials; regression analyses against patient covariates used just the individual participant data. …”
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Longitudinal study of cognitive and mental functions among adult Hodgkin-lymphoma survivors, based on data from a primary treatment center in Hungary by István Virga, István Virga, Karolina Kósa, Anna Illés, Zsófia Miltényi, Zsófia Miltényi, Tibor Ivánka, Roland Berecz, Anikó Égerházi, Árpád Illés, Árpád Illés, Ferenc Magyari, Ferenc Magyari

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Understanding and processing informed consent during data-intensive health research in sub-Saharan Africa: challenges and opportunities from a multilingual perspective by Lillian Omutoko, George Rugare Chingarande, Marietjie Botes, Farayi Moyana, Shenuka Singh, Walter Jaoko, Esperança Sevene, Tiwonge K Mtande, Ama Kyerewaa Edwin, Limbanazo Matandika, Theresa Burgess, Keymanthri Moodley

“…We recognise that the inclusion of visual or multimedia content to facilitate information transfer is only one component of the informed consent process for data-intensive research. …”
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Multi-Source Data and Semantic Segmentation: Spatial Quality Assessment and Enhancement Strategies for Jinan Mingfu City from a Tourist Perception Perspective by Lin Chen, Xiaoyu Cai, Zhe Liu

“…This study establishes a technical framework encompassing “data crawling-factor aggregation-human-machine collaborative optimization”. …”
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A meta-analysis for the nighttime light remote sensing data applied in urban research: Key topics, hotspot study areas and new trends by Baiyu Dong, Ruyi Zhang, Sinan Li, Yang Ye, Chenhao Huang

“…Nighttime light (NTL) data have become an essential tool for urban remote-sensing research in the past 25 years because of its ability to intuitively detect human activities. …”
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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

“…ObjectiveThis study aims to develop and validate a deep learning–based model that integrates multimodal data to identify patients with AAD at high risk of MMP. …”
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A new spatiotemporal fusion model for integrating VIIRS and SDGSAT-1 Nighttime light data to generate daily SDGSAT-1 like observations by Jinhu Bian, Touseef Ahmad Khan, Ainong Li, Jinping Zhao, Yi Deng, Guangbin Lei, Zhengjian Zhang, Xi Nan, Amin Naboureh, Muhib Ullah Khan

“…This model generated HSTR NTL radiance values similar to SDGSAT-1 by reconstructing NTL features using a combination of spectral, spatial, and temporal weighting from VIIRS and SDGSAT-1 NTL data. Results demonstrated that the predicted SDGSAT-1 images were consistent with real SDGSAT-1 observations from both visual effect and radiance prediction accuracy. …”
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Locally rendered high-resolution Land Use/Land Cover Bitmaps from OpenStreetMap Data for geospecific 3D Simulation by D. Frommholz

“…Results for scenes around the world are visually analyzed, and a comparison to validated LULC data is conducted. …”
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Development and validation of machine learning models for osteoporosis prediction in chronic kidney disease patients: Data from National Health and Nutrition Examination survey by Hui Li, Ya Zhang, Chong Zhang

“…Objective To develop and validate machine learning models to predict osteoporosis risk in chronic kidney disease (CKD) patients. Methods Data from the National Health and Nutrition Examination Survey (2005–2010, 2013–2014, 2017–2018) included 50,463 participants. …”
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Prevalence of specific learning disability in children and its association with somatic symptom disorder – data from a tertiary care centre of South India by Nishanth Rajan, Priya Jose, Peter Prasanth Kumar Kommu, Shanthi Kannan

“…A retrospective hospital-based study was done in the child guidance and rehabilitation center, department of paediatrics of a teaching hospital in Puducherry. Data from all children aged 6–14 years who came to the pediatric OPD during February 2017–2022 were included and all children with incomplete medical records, incomplete recording of assessment in the register of child guidance and rehabilitation center obvious hearing and visual impairment, those with an intellectual quotient <70, and all sick children were excluded from the study. …”
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