Missing Categorical Data in Sociological Surveys: An Experimental Evaluation of Imputation Techniques by Yaroslav Kostenko, Andrii Gorbachyk

“…K-Nearest Neighbors showed promise with smaller predictor sets, offering a computationally efficient alternative. The work emphasizes the importance of principled imputation and provides practical recommendations for sociologists regarding method selection, predictor set construction, and consideration of computational costs when addressing missing categorical data.…”
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IoT-Based Traffic Prediction for Smart Cities by Zhinong Miao, Qilong Liao

“…The implications for smart city development are substantial, as the model offers a robust solution for managing complex traffic patterns and enhancing real-time decision-making. …”
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Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions by Yadong Wang, Xinyao Duan, Jiang Wang, Jin Guo, Minglei Han

“…Therefore, performing variable selection to identify influential inputs becomes crucial for minimizing the number of necessary model evaluations, particularly when dealing with complex systems exhibiting nonlinear and poorly understood input–output relationships. …”
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Integrating Proximal and Remote Sensing with Machine Learning for Pasture Biomass Estimation by Bernardo Cândido, Ushasree Mindala, Hamid Ebrahimy, Zhou Zhang, Robert Kallenbach

“…This integrated framework provides practical insights for precision agriculture and optimized pasture management, significantly advancing efficient and sustainable rangeland monitoring.…”
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Eco-friendly HPTLC method for Trifluridine and Tipiracil determination: Quality-by-design meets green analytical chemistry by Amruta Balekundri, Eknath D. Ahire, Rakesh U. Shelke, Dinesh D. Rishipathak, Sanjay J. Kshirsagar

“…Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide, necessitating efficient treatment strategies and accurate analytical methods. …”
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Bridge Crack Segmentation Algorithm Based on Improved U-Net by Yanhao Fang, Jie LYu, Yonghua Xia, Yingke Wang

“…This paper introduces an enhanced U-Net network designed to extract fine crack features against complex backgrounds and balance crack pixel categories for bridge crack segmentation. …”
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Deep Learning in Finance: A Survey of Applications and Techniques by Ebikella Mienye, Nobert Jere, George Obaido, Ibomoiye Domor Mienye, Kehinde Aruleba

“…Machine learning (ML) has transformed the financial industry by enabling advanced applications such as credit scoring, fraud detection, and market forecasting. At the core of this transformation is deep learning (DL), a subset of ML that is robust in processing and analyzing complex and large datasets. …”
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SLGMA-UNet: Comprehensive Feature Aggregation With Context-Sensitive Attention for Medical Image Segmentation by Xinghuo Ye, Na Wang

“…Experiments conducted on five medical datasets, including ISIC2017, ISIC2018, CVC-ClinicDB, Kvasir-SEG, and GLAS, demonstrate that SLGMA-UNet outperforms existing models, achieving accuracy improvements of 4.2-7.8% (mean Intersection over Union, mIoU) and 3.6-6.4% (Dice Similarity Coefficient, DSC), along with enhanced edge detection and reduced errors in complex cases. Ablation studies confirm the positive and synergistic effects of the additional components. …”
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In-operando control of sum-frequency generation in tip-enhanced nanocavities by Philippe Roelli, Isabel Pascual Robledo, Iris Niehues, Javier Aizpurua, Rainer Hillenbrand

“…The tip acts as an efficient broadband antenna, focusing incident CW infrared illumination onto the nanocavity. …”
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Building rooftop extraction from high resolution aerial images using multiscale global perceptron with spatial context refinement by Qinglie Yuan

“…However, buildings often exhibit scale variation, spectral heterogeneity, and similarity with complex geometric shapes. Hence, the building rooftop extraction results exist fragmentation and lack spatial details using these methods. …”
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Investigation on potential bias factors in histopathology datasets by Farnaz Kheiri, Shahryar Rahnamayan, Masoud Makrehchi, Azam Asilian Bidgoli

“…The analysis was conducted on two cutting-edge DNN models: KimiaNet, a state-of-the-art DNN trained on TCGA images, and the self-trained EfficientNet. In this research study, the balanced accuracy metric is used to evaluate the performance of a model trained to classify data centers, which was originally designed to learn cancerous patterns, with the aim of investigating the potential factors contributing to the higher balanced accuracy in data center detection.…”
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Streaming potential modeling in fractured rock: Insights into the identification of hydraulically active fractures by D. Roubinet, N. Linde, D. Jougnot, J. Irving

“…Our approach is specifically designed for complex fracture networks that cannot be investigated using standard numerical methods. …”
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Endoscopic treatment of Kaposi’s sarcoma in a heart transplant patient by M. T. Bekov, I. V. Pashkov, N. P. Mozheiko, N. N. Koloskova, K. S. Smirnov, Ya. S. Yakunin, M. V. Olkhovskaya, O. M. Tsirulnikova, S. V. Gautier

“…Because KS is so common in this patient cohort, methods for early detection, efficient treatment, and prevention of the neoplastic process must be developed. …”
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Concave Magnetic-Responsive Hydrogel Discs for Enhanced Bioassays by Amin Ghaffarzadeh Bakhshayesh, Huiyan Li

“…The increased surface area and ease of fabrication make our CMDs efficient and adaptable for various biological and biomedical applications, particularly in point-of-care diagnostics where rapid and accurate biomarker detection is critical.…”
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A Biomimetic Pose Estimation and Target Perception Strategy for Transmission Line Maintenance UAVs by Haoze Zhuo, Zhong Yang, Chi Zhang, Nuo Xu, Bayang Xue, Zekun Zhu, Yucheng Xie

“…In this context, the widespread promotion and application of smart robots in the power industry can help address the increasingly complex challenges faced by the industry and ensure the efficient, economical, and safe operation of the power grid system. …”
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Tuberculous abdominal aortic aneurysm: Management and outcomes by Sree Vani Paladugu, MS, Ajay Savlania, MCh, Gokulkrishnan Hari, MS, Tanuj Singla, MS, Shreyas Srinivasan, MBBS, Ujjwal Gorsi, DM, Mustafa Razi, MD, Pradeep Burli, MD, Prem Chand Gupta, MS

“…Patient status at presentation, the complexity of surgical reconstruction, and the possibility of performing efficient surgical debridement influence the selection of various therapeutic strategies. …”
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Deep Space Insights: Machine Learning Revolutionizing Astrophysical Discoveries by Dutta Samya, Paul Prithwineel

“…It integrates Machine Learning as a highly impressive advancement for making scalable, efficient, and accurate tools for astronomical data which face increasing complexity and volume. …”
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Assessing Cost-Effective Materials for Multi-Functional Crutches: an Integrated MCDM Framework by M. Joshi

“…Material selection significantly impacts crutch performance and durability, posing challenges due to various criteria and complex decision-making in engineering design. …”
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Rapid acquisition and surface defects recognition based on panoramic image of small-section hydraulic tunnel by Haoyu Wang, Jichen Xie, Jinyang Fu, Cong Zhang, Dingping Chen, Zhiheng Zhu, Xuesen Zhang

“…Small-section hydraulic tunnels are characterized by small spaces and various section forms, under complex environments, which makes it difficult to carry out an inspection by the mobile acquisition equipment. …”
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Emerging Healthcare Technologies in Gastrointestinal Endoscopy: 75 Years of Evolution by Irina Florina CHERCIU HARBIYELI, Elena Daniela BURTEA, Vlad IOVANESCU, Dan Nicolae FLORESCU, Ion ROGOVEANU, Dan Ionut GHEONEA, Adrian SAFTOIU

“…Robotic-assisted endoscopy (EndoMaster, Magnetically Assisted Robotic Endoscopy) provides enhanced dexterity and stability, making complex procedures safer and more efficient. In therapeutic endoscopy, Endoscopic Submucosal Dissection and Endoscopic Mucosal Resection have expanded the therapeutic scope of GIE enabling minimally invasive removal of early-stage tumors, reducing the need for surgery. …”
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