Multimodal deep learning for art behavior analysis and personalized teaching path generation by Yikun Li, Jie Shi

“…Additionally, the study constructs a system architecture covering data layers, algorithm layers, and application layers, enabling real-time dynamic adjustment and visual traceability of teaching paths. …”
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Projection and assessment of future droughts in Iowa: developing a machine learning model and an interactive application by Ingrid Cintura, Antonio Arenas

“…The model was trained on historical data from 2012 to 2019 and thoroughly evaluated using out-of-sample data from 2002 to 2011. …”
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Astronomaly Protege: Discovery through Human-machine Collaboration by Michelle Lochner, Lawrence Rudnick

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Dual-Branch Occlusion-Aware Semantic Part-Features Extraction Network for Occluded Person Re-Identification by Bo Sun, Yulong Zhang, Jianan Wang, Chunmao Jiang

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BoneCLIP-XGBoost: A Multimodal Approach for Bone Fracture Diagnosis by Zhihao Su, Yuhuai Zhou, Jianqun Zhou, Hanhua Cao, Huanping Zhang

“…The integration of visual and textual data in medical diagnostics holds significant potential for improving the accuracy and reliability of clinical decision-making. …”
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ecochange: An R‐package to derive ecosystem change indicators from freely available earth observation products by Wilson Lara, Maria C. Londoño, Ivan Gonzalez, Victor H. Gutierrez‐Velez

“…We conclude that ecochange features procedures necessary to derive ecosystem structure indicators integrating the retrieval of spatially explicit data with the use of workflows to calculate/visualize biodiversity indicators at the national/regional scales.…”
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Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Pattern Matching Algorithm by Kaiqiao Tian, Meiqi Song, Ka C. Cheok, Micho Radovnikovich, Kazuyuki Kobayashi, Changqing Cai

“…LiDAR and camera sensors are widely utilized in autonomous vehicles (AVs) and robotics due to their complementary sensing capabilities—LiDAR provides precise depth information, while cameras capture rich visual context. However, effective multi-sensor fusion remains challenging due to discrepancies in resolution, data format, and viewpoint. …”
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A Formal Fuzzy Concept-Based Approach for Association Rule Discovery with Optimized Time and Storage by Gamal F. Elhady, Haitham Elwahsh, Maazen Alsabaan, Mohamed I. Ibrahem, Ebtesam Shemis

“…However, classical ARM methods face significant limitations, including the generation of misleading rules during data-to-formal-context mapping and poor handling of heterogeneous data types such as linguistic, continuous, and imprecise data. …”
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Scientometric analysis of metadata of articles on the topic "Yoga" by K.V. Tartynova

“…Gephi software was used to visualize and study the co‐authorship network. Text analytics was used using Orange Data Mining software to identify the structure and content of the scientific field on the topic "Yoga". …”
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The possibilities of lineament analysis using for quantitative assessment of the areas prospectivity for the hydrocarbon deposits searching (on the example of the Dnieper-Donets de... by A. Ya. Khodorovskyi, O. A. Apostolov, L. O. Yelistratova, I. F. Romanciuc

“…The reliability of faults corresponding to zones of increased number of lineaments was assessed by their spatial coincidence with the faults identified by geophysical data. The lineament density maps of the Earth’s thermic field, established by remote sensing data, were analyzed. …”
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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

“…Recently, with the rise of AI, many data-driven methods are proposed. However, most of them take no consideration of natural physical laws that may cause issues of physical inconsistency among different variables. …”
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AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING by Muhammad Anas, Muhammad Atif Imtiaz, Saad Khan, Arshad Ali, Noor Fatima Naghman, Hamayun Khan, Sami Albouq

“…As a result, the doctors can visualize the patient’s real-time sensor data using the application and start live video streaming if instant medication is required. …”
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An empirical analysis on the association between sarcopenia and all-cause mortality in Chinese elderly residents by KONG Jie, LI Shutie, HUANG Pandeng, LIU Meihong, REN Dongjing

“…ObjectiveTo investigate the association between variant degree of sarcopenia and all-cause mortality in Chinese elderly residents, and to provide insights into the prevention and control of sarcopenia in the elderly population.MethodsData from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 and 2020 were analyzed, and a total of 2 792 subjects aged 65 years or older were selected according to the inclusion and exclusion criteria. …”
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Progressive Response of Repeated Treatment with High-Concentration (179 mg) Capsaicin Patch in Peripheral Neuropathic Pain After Surgical or Traumatic Nerve Injury: Findings from t... by Michael A. Überall, Christian Simanski, Mike Zellnig, Mariëlle Eerdekens, Sylvia Engelen, Myriam Heine, Fabienne Percot, Rita Freitas, Lucia Garcia Guerra, Tamara Quandel

“…The high-concentration capsaicin patch (HCCP, 179 mg) is a topical therapy approved for peripheral neuropathic pain, including PNI. This study utilizes data from the German Pain e-Registry (GPeR) to investigate the real-world effectiveness of HCCP in managing PNI across multiple treatments over 1 year. …”
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Psychiatric drugs dispensing trends in the affected population following Brumadinho dam failure by Marcelo Farah Dell'Aringa, Gabriel Elias Correa-Oliveira, Francesco Della Corte, Luca Ragazzoni, Ives Hubloue, Virginia Murray, Thais Piazza, Claudia Garcia Serpa Osorio-de-Castro, Elaine Miranda, Francesco Barone-Adesi

“…We compared the median dispensing of benzodiazepines and antidepressants from the periods before and after the event using the Mann Whitney test and performed a visual analysis of line graphs from both datasets.ResultsData shows an increase of 294% in dispensing of benzodiazepines in the month following the event with a return almost to the baseline subsequently. …”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…Pandas, NumPy, Scikitlearn, and Matplotlib libraries were used as tools to process, analyze, and visualize the data. The research is based on data from official statistical agencies and financial institutions, including historical data on macroeconomic indexes, market trends, and financial risks. …”
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Analysis of the Evolution of Expert Opinion on Sustainability Policies through the Neutrosophic STATIS Method by Purificación Vicente-Galindo

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A Method for Selecting the Appropriate Source Domain Buildings for Building Energy Prediction in Transfer Learning: Using the Euclidean Distance and Pearson Coefficient by Chuyi Luo, Liang Xia, Sung-Hugh Hong

“…However, the accuracy of TL heavily relies on selecting appropriate source buildings as the source data. This study proposes a novel, easy-to-understand, statistics-based visualization method that combines the Euclidean distance and Pearson correlation coefficient for selecting source buildings in TL for target building electricity prediction. …”
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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

“…The field faces challenges such as long-tail distribution problems, data sparsity, and complex label co-occurrence patterns due to peptides’ multi-functional nature. …”
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Research on the Parametric Design and Application of Ceramic Modeling Based on Python by Zhenjie Wang, Longyao Xu, Jing Dai, Chengqian Zeng, Yu Zhong, Liyan Liu, Shuanghua Wang

“…By collecting and analyzing multimodal data, including eye movements, electroencephalographic signals, and skin conductance, the study systematically determines the core factors influencing the user experience. …”
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