Semi-Supervised Atmospheric Turbulence Mitigation Based on Hybrid Models by Wenhao Chu, Zhi Cheng, Lixin He

“…We have conducted sufficient experiments on different types of turbulence data that the proposed framework can mitigate the motion blur and geometric distortion caused by atmospheric turbulence, thus resulting in a dramatic improvement in visual quality. …”
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An IoT-Based Smart System with an MQTT Broker for Individual Patient Vital Sign Monitoring in Potential Emergency or Prehospital Applications by Yung-Chung Tsao, Fu-Jen Cheng, Yi-Hua Li, Lun-De Liao

“…A central controller accessed by radio-frequency identification (RFID) collects clients’ health profiles on the cloud platform. All collected data can be quickly shared, analyzed, and visualized, and the health devices can be changed, added to, and removed reliably when the requirements change. …”
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Downscaling Satellite Night-Time Light Imagery While Addressing the Blooming Effect by Nikolaos Tziokas, Ce Zhang, Alexandros Tziokas, Qunming Wang, Peter M. Atkinson

“…Downscaling NTL data is a potential solution, aiming to obtain fine-resolution nocturnal data with high accuracy. …”
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How did conservation agriculture go to scale? by Ricardo Ramirez, Cynthia Neudoerffer, Michael Salomons

“…Eleven implementing partners in East Africa were involved in primary data collection and some initial analysis. Data collection and analysis: A mixed method approach was used combining quantitative, qualitative, and participatory / visual data collection tools. …”
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Identification of optimal Sentinel-1 SAR polarimetric parameters for forest monitoring in Czechia by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

“…This is accomplished through: 1) a pairwise correlation analysis of SAR polarimetric parameters, multispectral optical vegetation indices and ancillary data, 2) a univariate binary time series classification for differentiation between forest types and 3) a visual exploration of time series. …”
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Unveiling vegetation recovery dynamics in Andean grasslands along a trans-Andean natural gas pipeline by Fiorella Eduardo-Palomino, Héctor Chuquillanqui, Reynaldo Linares-Palomino

“…To unveil the temporal vegetation recovery dynamics in the Andean grasslands, we propose a new index that incorporates species abundances, data variation, and a continuously updated control mean. …”
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Robust scale fusion and edge-aware feature attention network for remote sensing UAV road detection under harsh weather by Jialang Liu, Jialei Zhan, Jiehua Zhang, Jiangming Chen, Yan Song, Lixing Tang, Le Zhou, Chengsi Du, Yingmei Wei, Yanming Guo

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Wetland landscape based on Sentinel-2 images and geo-tagged photographs in Centla, Tabasco by Alejandra Aurelia López-Caloca, Amilcar Morales Gamas, María Gabriela López Aguilar

“…A map shows the use of remote sensing data combined with easily understood and conveyed visual descriptive data which show the ecological conditions of the landscape. …”
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Positive Emotion Recognition—A Survey of Computational Models by Irem Arici, Radoslaw Niewiadomski

“…In terms of data type, the highest number of solutions utilize various physiological signals, with visual data being the second most common. …”
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Differentiating mathematical mindset, growth mindset, and self-efficacy through intervention research: a neuroplasticity approach by Xiaoyu Xu, Jack A. Dieckmann

“…Using a mixed-methods approach, we analyze quantitative data through correlation heatmaps, contour plots, and scatter visualizations, alongside qualitative data, to provide a comprehensive understanding of how these constructs interact. …”
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The Use of Concrete-Pictorial-Abstract Approach to Enhance Learners’ Conceptual Understanding of Fractions by Leboho Sello, Kgaladi Maphutha, Mutodi Paul

“…A one-phase concurrent embedded mixed-method research design was used to gather qualitative data through task-based interviews and quantitative data through pretests and post-tests. …”
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AI in Structural Health Monitoring for Infrastructure Maintenance and Safety by Vagelis Plevris, George Papazafeiropoulos

“…We examine seven core areas where AI significantly advances SHM capabilities: (1) data acquisition and sensor networks, highlighting improvements in sensor technology and data collection; (2) data processing and signal analysis, where AI techniques enhance feature extraction and noise reduction; (3) anomaly detection and damage identification using machine learning (ML) and deep learning (DL) for precise diagnostics; (4) predictive maintenance, using AI to optimize maintenance scheduling and prevent failures; (5) reliability and risk assessment, integrating diverse datasets for real-time risk analysis; (6) visual inspection and remote monitoring, showcasing the role of AI-powered drones and imaging systems; and (7) resilient and adaptive infrastructure, where AI enables systems to respond dynamically to changing conditions. …”
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Antimicrobial resistance monitoring: a review of information resources by A. Yu. Kuzmenkov, A. G. Vinogradova

“…An important point in the functioning of monitoring systems is a search for the optimal way to visualize output data in tables, interactive maps, and graphics. …”
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A Study on the Female Architects' Approaches to Design in the 21st Century by Ezgi Uyar Sun, Dilek Yasar

“…The texts of female architects, which described their projects, were conceptually analyzed using the textual analysis method, where their formal language was analyzed by means of the visual analysis method. The data were then organized into data sets and presented in tabular format. …”
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Reducing surgical cancellations: a successful application of Lean Six Sigma in healthcare by Stijn Schretlen, Paulien Hoefsmit, Suzanne Kats, Jos Maessen, Reinier Zandbergen, Godefridus van Merode

“…Through all DMAIC phases, real-world data from the hospital information system supported the team during biweekly problem-solving sessions. …”
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Contrastive Learning-Based Haze Visibility Enhancement in Intelligent Maritime Transportation System by Xianjun Hu, Jing Wang, Guilian Li

“…However, video cameras often suffer from severe haze weather, leading to degraded visual data and ineffective maritime surveillance. …”
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Health Disparity Clusters of Off Label Prescriptions for Glucagon-Like Peptide 1 Receptor Agonists by Kateri J. Spinelli, Allison H. Oakes, Shih-Ting Chiu, Mary T. Imboden, Austin Miller, Sanjula Jain, Ty J. Gluckman

“…Methods: We performed a retrospective analysis of data from the Trilliant Health national all-payer claims database, US Census Bureau data (race, ethnicity, median household income), and Centers for Disease Control and Prevention social vulnerability index (SVI). …”
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Recurrent Keratoconus. Clinical Case by M. E. Konovalov, K. V. Burdel, M. L. Zenina, A. B. Reznikova, M. M. Konovalova

“…On examination after 1 year, there were no complaints of decreased visual acuity and data from the same instrumental examinations indicating keratoconus. …”
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Development of a smart cloud-based monitoring system for solar photovoltaic energy generation by Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

“…The collected data were stored in the cloud, enabling a visual representation of the sensed parameters. …”
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Uses of geographic information systems to analyze the Hydro-Geotechnical hazards and related risks in the Tiflet watershed, Morocco by Chekkouch Hajar, Benammi Mohamed, Chakiri Saïd

“…Geographical information systems have a very important role in visualizing geographical, geological, hydrological and geotechnical data, in the form of layers in thematic maps that are easy to analyse and interpret on a local or regional scale. …”
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