Artificial intelligence-produced radiographic enhancements in dental clinical care: provider and patient perspectives by Lyubov D. Slashcheva, Lyubov D. Slashcheva, Kelly Schroeder, Lisa J. Heaton, Hannah J. Cheung, Brenda Prosa, Nicole Ferrian, Jesse Grantz, Jesse Grantz, Deborah Jacobi, John J. O’Malley, Michael Helgeson, Eric P. Tranby

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Design of Intelligent Firefighting and Smart Escape Route Planning System Based on Improved Ant Colony Algorithm by Nan Li, Zhuoyong Shi, Jiahui Jin, Jiahao Feng, Anli Zhang, Meng Xie, Liang Min, Yunfang Zhao, Yuming Lei

“…Following a comprehensive data analysis, pertinent visualizations are presented. …”
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Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models by Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan

“…Methods The transcriptomic data of patients with LBP from peripheral immune cells were retrieved from the GEO database. …”
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Machine learning-based prediction of respiratory depression during sedation for liposuction by Jin-Woo Kim, Jae Hee Woo, Jaewon Seo, Hajin Kim, Sunho Lee, Younchan Park, Jaehyun Ahn, Seonghun Hong, Hye-Min Jeong, Yuncheol Kang

“…SHAP analysis, an explainable AI approach, was conducted to visually interpret feature importance. The XGBoost model, particularly when incorporating 3D body scanning data, demonstrated superior predictive performance, achieving an AUROC of 0.856 and a sensitivity of 0.805. …”
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Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning by Jiandong Liu, Wei Luo, Guoqing Zhang, Ruihao Li

“…Initially, the capability to discern obstacles from visual data is achieved through the application of the Yolov8-StrongSort technique. …”
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Shifted Hexpo activation function: An improved vanishing gradient mitigation activation function for disease classification by Joseph Otoo, Suleman Nasiru, Irene Dekomwine Angbing

“…Additionally, Grad-CAM visualizations highlight SHexpo’s capability to enhance interpretability by localizing the most relevant image regions contributing to model predictions. …”
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A critical review of technical case studies for electricity theft detection in smart grids: A new paradigm based transformative approach by Muhammad Sajid Iqbal, Shoaib Munawar, Muhammad Adnan, Ali Raza, Muhammad Ali Akbar, Amine Bermak

“…This paper provides a comprehensive review of various ETD approaches, categorizing them into five areas: (i) Theft Detection with synthetic data, (ii) sequential data-based schemes, (iii) non-sequential data analysis, (iv) neighborhood area-based networks (NANs), and (v) IoT and hardware-based solutions. …”
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Shoreline dynamics during 1972–2022, and ITS implications, Vedaranniyam region, Tamil Nadu, India by A. Vijay, J. Saravanavel, S. M. Ramasamy, S. Vasudevan

“…Infrared band of Landsat data was used to demarcate the land–water boundary. …”
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iFLOW: A Framework and GUI to Quantify Effective Thermal Diffusivity and Advection in Permeable Materials From Temperature Time Series by A. Bertagnoli, C. Luce, R. vanKampen, U. Schneidewind, M. vanBerkel, A. W. Tranmer, G. Vandersteen, S. Krause, D. Tonina

“…Users can analyze and visualize intermediate results to identify problematic issues in the time series data and improve data interpretation. …”
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First record of Astathelohania contejeani (Henneguy, 1892) in the narrow-clawed crayfish Pontastacus leptodactylus (Eschscholtz, 1823) from Belarus by Śliwińska Karolina, Skuratovich Elena, Alekhnovich Anatoly

“…A single published report addressed a potential microsporidia infection in P. leptodactylus, but without specific data on geographical location and prevalence. We present the first detailed information on the prevalence of A. contejeani in the P. leptodactylus population from Lake Losvido, including an assessment of the infection rate through both visual and molecular assessment. …”
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Segmentasi Pelanggan Bisnis Kursus Berbasis LRFM Menggunakan t-SNE, UMAP, dan PaCMAP untuk Optimalisasi Profitabilitas Bisnis by Yanuar Rafi Rahadian, Hasan Bisri, Latifa Indirani Amina

“…Hasil penelitian menunjukkan bahwa segmentasi visual membantu pengambil keputusan dalam mengidentifikasi kelompok pelanggan strategis untuk program retensi dan optimalisasi. …”
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Increasing Slow Learner Reading Abilities Through Functional Reading : A Single-Case Study on An Elementary School Student by Michelle Torita Shinta Nauli, Lucia RM Royanto

“…Over the intervention sessions, the participant demonstrated significant progress in functional reading skills. The data collected was then analyzed using visual analysis. …”
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Retina Modeling by Artificial Neural Networks by Amelia Stewart

“…A comparison has been conducted between the data derived by the model and the biological data. …”
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Augmented Reality in Vocational Education : Trend, Acquired Skills, and Future Work by Muhammad Oka Ramadhan, Dedi Rohendi, Mustika Nuramalia Handayani, Ade Gaffar Abdullah, Thomas Koehler

“…The research method used includes bibliometric analysis and systematic literature review, with data visualized through tools like VOSviewer and Tableau. …”
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BIBLIOMETRIC ANALYSIS OF NEURAL BASIS EXPANSION ANALYSIS FOR INTERPRETABLE TIME SERIES (N-BEATS) FOR RESEARCH TREND MAPPING by Dewi Retno Sari Saputro, Heri Prasetyo, Antoni Wibowo, Fadiah Khairina, Krisna Sidiq, Gusti Ngurah Adhi Wibowo

“…At the same time, they are visualizing the metadata with VOSviewer. Data was collected from the direct science database with the keyword N-BEATS. …”
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Mapping the landscape of machine learning in chronic disease management: A comprehensive bibliometric study by Shiying Shen, Wenhao Qi, Sixie Li, Jianwen Zeng, Xin Liu, Xiaohong Zhu, Chaoqun Dong, Bin Wang, Qian Xu, Shihua Cao

“…Conclusion ML is rapidly integrating into personalized medicine, real-time monitoring, and multimodal data fusion. However, challenges such as limited collaboration, weak model generalization, and data privacy persist. …”
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Hilbert–Huang transform based pupil changes analysis for concentration assessment in skilled mowing by Bo Wu, Yuan Wu, Ran Dong, Kiminori Sato, Soichiro Ikuno, Shoji Nishimura, Qun Jin

“…However, the environment faced by workers when mowing is complex, requiring them to deal with different visual stimuli at the same time. These factors will also be reflected in the data of specific pupil changes, further impacting their concentration while mowing. …”
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Extracting Bridge Modal Frequencies Using Stationary Versus Drive-By Modes of Smartphone Measurements by Niall McSweeney, Ramin Ghiasi, Abdollah Malekjafarian, Ekin Ozer

“…A first natural frequency of 5.45 Hz from a reference data acquisition system confirmed the accuracy of stationary smartphone data. …”
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Seafloor Stability Assessment of Jiaxie Seamount Group Using the “Weight-of-Evidence” (WoE) Method, Western Pacific Ocean by Xuebing Yin, Yongfu Sun, Weikun Xu, Wei Gao, Heshun Wang, Sidi Ruan, Yihui Shao

“…This study presents a statistical framework for assessing the stability of deep-sea floors and provides theoretical support for upcoming seabed mining and deep-sea engineering endeavors, despite limitations due to data constraints and dependence on visually interpreted slope failure zones.…”
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Distribution of Hypertension Cases Based on Primary Health Care 2017–2021 in Malang, Indonesia: Spatial Analysis by Alifia Irbah Imtinani, Eny Qurniyawati

“…Quantum geographic information system (QGIS) was used to visualize the distribution of cases. Data was presented in the tables and a map with different coloring based on the high-low categories of hypertension cases in a region. …”
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