Monotone Data Visualization Using Rational Trigonometric Spline Interpolation by Farheen Ibraheem, Maria Hussain, Malik Zawwar Hussain

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Dashboards for visual display of patient safety data: a systematic review by Hardeep Singh, Daniel R Murphy, Dean F Sittig, April Savoy, Tyler Satterly

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Research on territorial spatial planning based on data mining and geographic information visualization by Wang Yingqiao

“…Based on data mining technology and geographic information visualization, this article puts forward a study on the optimization of territorial spatial planning. …”
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Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries by Jutarut Chaoraingern, Arjin Numsomran

“…Nevertheless, achieving such prognostics on resource-constrained embedded platforms remains a considerable technical challenge. This study proposes an end-to-end TinyML-based framework that integrates embedded sensor data fusion with an optimized feedforward neural network (FFNN) model for efficient RUL estimation under strict hardware limitations. …”
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Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…This study integrates deep learning and 3D visualization technology, designs a comprehensive health monitoring system framework, and proposes a health monitoring method for anchor digging machines.MethodsBased on deep learning, a data-driven remaining useful life (RUL) prediction method was proposed for key components of anchor digging machines. …”
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VisualCodeMOOC: A course platform for algorithms and data structures integrating a conversational agent for enhanced learning through dynamic visualizations by Mingyuan Li, Duan Wang, Erick Purwanto, Thomas Selig, Qing Zhang, Hai-Ning Liang

“…The abstract nature of algorithms and data structures poses challenges for students, and the integration of visualization into comprehensive learning systems remains underexplored. …”
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A probabilistic approach to visualize the effect of missing data on PCA in ancient human genomics by Susanne Zabel, Samira Breitling, Cosimo Posth, Kay Nieselt

“…Applying this framework to real-world data, we demonstrate its utility in predicting and visualizing embedding uncertainties for ancient samples of varying SNP coverages. …”
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Enhancing agricultural data interpretability and visualization with TabNet-driven feature extraction and Local Biplots by J. Triana-Martinez, A. Álvarez-Meza, G. Castellanos-Dominguez

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Sherlock-Genome: an R Shiny application for genomic analysis and visualization by Alyssa Klein, Jun Zhong, Maria Teresa Landi, Tongwu Zhang

“…However, managing, visualizing, and integratively analyzing WGS results across various bioinformatic pipelines remains challenging, particularly for non-bioinformaticians, hindering the usability of WGS data for biological discovery. …”
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PixelQuery: Efficient Distance Range Join Query Technique for Visualization Analysis by Bo Pang, Zebang Liu, Wei Xiong, Mengyu Ma

“…However, performing a DRJQ on large-scale spatial data remains a challenging problem, as the computational complexity of existing techniques escalates rapidly with increasing volumes of data. …”
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IVAG: An Integrative Visualization Application for Various Types of Genomic Data Based on R-Shiny and the Docker Platform by Tae-Rim Lee, Jin Mo Ahn, Gyuhee Kim, Sangsoo Kim

“…However, downstream analyses, such as finding differentially expressed genes or visualizing linkage disequilibrium maps and genome-wide association study (GWAS) data, still remain a challenge. …”
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Unveiling research hotspots: a bibliometric study on macrophages in musculoskeletal diseases by Yaohang Yue, Yaohang Yue, Siyang Cao, Fuyang Cao, Yihao Wei, Yihao Wei, Aikang Li, Deli Wang, Peng Liu, Hui Zeng, Hui Zeng, Jianjing Lin, Jianjing Lin

“…The collected data were analyzed using a variety of bibliometric and visualization tools, such as VOSviewer, CiteSpace, GraphPad Prism, and R packages. …”
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deeptime: an R package that facilitates highly customizable and reproducible visualizations of data over geological time intervals by William Gearty

“…One common hurdle across the Earth Sciences and other scientific fields remains the reproducibility of many types of visualizations of data over long time intervals (>10,000 years). …”
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Identifying predators from saliva at kill sites with limited remains by Laurel E. Peelle, Aaron J. Wirsing, Kristine L. Pilgrim, Michael K. Schwartz

“…The traditional method of visually analyzing prey remains to identify predators is prone to observer bias and may be particularly challenging when few remains are present or in systems with congeneric predators. …”
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SMQVP: A Web Application for Spatial Metabolomics Quality Visualization and Processing by Zhanlong Mei, Wan Sun, Yun Zhao, Haoke Deng, Xiaolian Ning, Chunlu Feng, Jin Zi

“…However, challenges in data quality control and preprocessing remain significant bottlenecks, critically impacting the reliability of downstream analyses and the robustness of findings. …”
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Global scientific trends in hypercholesterolemia research from 2003 to 2023: a data-driven bibliometric and visual analysis by Haoxin Guo, Haoxin Guo, Qihui Wang, Qihui Wang, Yinling Wang, Yinling Wang, Xiaolong Dong, Xiaolong Dong, Zhongqing Wang, Hui Kang, Hui Kang, Shitong Cheng, Shitong Cheng

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ColorPCA: Scalable Colored Dimensionality Reduction for Unlabeled High-Dimensional Data by Wenqiang Cui, Shehzad Afzal, Rafael M. Martins, Sohaib Ghani, Ibrahim Hoteit

“…However, automatic coloring of unlabeled high-dimensional data remains challenging for revealing unknown patterns or class structures in the data. …”
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Portable Technology to Measure and Visualize Body-Supporting Force Vector Fields in Everyday Environments by Ayano Nomura, Yoshifumi Nishida

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ClimSat – A diffusion autoencoder model for climate-conditional satellite image editing by Johannes Leonhardt, Juergen Gall, Ribana Roscher

“…Satellite images are valuable data for studying these effects. However, disentangling the specific influence of climate remains a complex challenge. …”
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Predicting student retention: A comparative study of machine learning approach utilizing sociodemographic and academic factors by Reymark D. Deleña, Norniña J. Dia, Redeemtor R. Sacayan, Joseph C. Sieras, Suhaina A. Khalid, Amer Hussien T. Macatotong, Sacaria B. Gulam

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