Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

“…Existing route recommendation methods commonly face two major problems: first, inadequate integration of multi-source data, which fails to fully consider the potential factors affecting route choice; and second, limited capability to capture road network characteristics, which restricts the effective application of node features and negatively impacts recommendation accuracy. …”
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An Assessment of The Effect of The Average Speed Enforcement Systems on Lithuanian Roads by Laura Gavėnienė, Donatas Čygas, Laura Jateikienė Jateikienė, Viktoras Vorobjovas, Vilma Jasiūnienė, Atis Zarinš

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Analysis of Growth Variation in Maize Leaf Area Index Based on Time-Series Multispectral Images and Random Forest Models by Xuyang Wang, Jiaojiao Ren, Penghao Wu

“…Overall, this study demonstrated that UAV-based time-series phenotypic data offers valuable insight into phenotypic variation, thereby enhancing the application of UAVs in crop breeding.…”
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Redshift Distributions of Fast Radio Bursts Inferred Using Clustering in Dispersion Measure Space by Hui Peng, Yu Yu

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Exploring the AI electricity crisis scenario: A case study of Texas-ERCOT by Rémi Paccou, Fons Wijnhoven

“…This article explores artificial intelligence (AI) effects on data center electricity consumption by answering the question if and when AI growth may cause an electricity crisis. …”
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Prospects of integrative and hybrid approaches to assessing undeclared work by Cymbal О. І., Ostafiichuk Ya. V.

“…Preliminary estimates of the manifestation of undeclared work in Ukraine according to 2021 data are presented. The prospects for further scientific research in this area in the context of a lack of official information are primarily related to the use of statistical, register and secondary data and the improvement of the tools for their processing and integration.…”
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A comparative study of methods for dynamic survival analysis by Wieske K. de Swart, Marco Loog, Jesse H. Krijthe, Jesse H. Krijthe

“…While the tested longitudinal models often struggled to outperform simple benchmarks, neural network models showed some improvement in simulated scenarios with sufficiently informative longitudinal trajectories.DiscussionOur findings underscore the importance of aligning model selection and training strategies with the specific characteristics of the data and the target application, providing valuable insights that can inform future developments in dynamic survival analysis.…”
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Generate Text-to-SQL Queries Based on Sketch Filling by Yinpei Fu, Songtao Ye, Hongjie Fan

“…The Text-to-SQL task has significant application prospects in automating relational database query interfaces. …”
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CareNexus: Integrated solutions for Healthcare Communication by Alexandru Ioan BULZAN

“…Currently, many existing solutions do not provide secure data transfer, interoperability and predictive analytics, leading to inefficiencies in the healthcare system. …”
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Adaptive resource allocation and routing for integrated sensing and communications for wireless technologies by Manochandar Subramaniyan, Thiruppathy Kesavan Venkatasamy, Nithya Thotakuruchi Mathiyalagan, Md. Jakir Hossen

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Square Root Compression and Noise Effects in Digitally Transformed Images by Craig E. DeForest, Chris Lowder, Daniel B. Seaton, Matthew J. West

“…The method is suitable both for new experiments such as the upcoming PUNCH mission, and also for post facto application to existing data sets—even if the instrument noise properties are only loosely known. …”
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Research on Underwater Echo Generation Method Based on Small Sample by Chen-yu WANG, Li-wen LIU, Gang LIU, Bo LI, Yun-chuan YANG

“…Generative adversarial networks(GAN), a new artificial intelligence technology, have a wide range of applications in data enhancement, image generation, and other fields. …”
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Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection by Qingming Ye, Zhilu Wang, Yi Lou, Yang Yang, Jue Hou, Zheng Liu, Weiguang Liu, Jiayu Li

“…Datasets from two different hospitals were used, with data augmentation techniques applied during both training and validation. …”
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Lightweight Insulator and Defect Detection Method Based on Improved YOLOv8 by Yanxing Liu, Xudong Li, Ruyu Qiao, Yu Chen, Xueliang Han, Agyemang Paul, Zhefu Wu

“…To address this issue, this paper proposed a lightweight drone-based insulator defect detection method (LDIDD) that integrates data augmentation and attention mechanisms based on YOLOv8. …”
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Deep Learning Model for Real‐Time Flood Forecasting in Fast‐Flowing Watershed by Fan Wang, Jie Mu, Cheng Zhang, Weiqi Wang, Wuxia Bi, Wenqing Lin, Dawei Zhang

“…The attention mechanism dynamically assigns weights to input data, significantly improving model performance, especially for larger catchments. …”
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On the Exact Asymptotic Error of the Kernel Estimator of the Conditional Hazard Function for Quasi-Associated Functional Variables by Abdelkader Rassoul, Abderrahmane Belguerna, Hamza Daoudi, Zouaoui Chikr Elmezouar, Fatimah Alshahrani

“…In addition to the theoretical derivations and a controlled simulation study that validates the asymptotic properties, this work includes a real-data application involving monthly unemployment rates in the United States from 1948 to 2025. …”
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Determinant factors of the longitudinal pulse pressure among hypertensive patients treated at Assosa general hospital, Western Ethiopia by Maru Zewdu Kassie, Haymanot Berelie Berehan, Seyifemickael Amare Yilema, Berhanie Addis Ayele

“…The analysis included exploratory data analysis and the application of a linear mixed model. …”
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Rumen microbiome nutriomics: Harnessing omics technologies for enhanced understanding of rumen microbiome functions and ruminant nutrition by Zhongtang Yu, Ming Yan, Jiakun Wang

“…Our emphasis lies in recognizing the necessity of integrated analysis across multiple data layers, encompassing data of diet, rumen microbiome features, animal genotypes, and production traits and identifying the causal relationship among them. …”
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Hybrid approach for alignment of a pre-processed three-dimensional point cloud, video, and CAD model using partial point cloud in retrofitting applications by Ashok Kumar Patil, G Ajay Kumar, Tae-Hyoung Kim, Young Ho Chai

“…This article presents a novel prototype framework for virtual retrofitting applications. The workflow includes an efficient 4-in-1 alignment, beginning with the coordination of pre-processed three-dimensional point cloud data using a partial point cloud from LiDAR and alignment of the pre-processed point cloud within the video scene using a frame-by-frame registering method. …”
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Method validation of an inductively coupled plasma mass spectrometry (ICP-MS) assay for the analysis of magnesium, copper and zinc in red blood cells by Nazmin Bithi, Daniel Ricks, Brandon S. Walker, Christian Law, Kamisha L. Johnson-Davis

“…Additionally, retrospective data were analyzed, and non-parametric reference intervals were calculated. …”
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