Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder by Mohemmed Sha, Hussein Al-Dossary, Mohamudha Parveen Rahamathulla

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Generative AI for Data Science 101: Coding Without Learning to Code by Jacob Bien, Gourab Mukherjee

“…By contrast, other professors argue that the ability to interact flexibly with data will inspire students with a lasting love of the subject and a continued commitment to the material beyond the introductory course. …”
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Hybrid optimized data aggregation for fog computing devices in internet of things by M. Jalasri, S. Manikandan, Arthur Davis Nicholas, S. Gobimohan, Naarisetti Srinivasa Rao

“…With the increase in the devices used in an application for smooth and efficient operations, the amount of data generated is high. …”
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Fluid Equation-Based and Data-Driven Simulation of Special Effects Animation by Yujuan Deng

“…With the deep development of artificial intelligence technology, deep neural network models are widely used in research fields such as computer image classification, speech recognition, and fluid detail synthesis with their powerful data learning capability. …”
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Application Prospect of Big Data Technology in the Informatization of Soil and Water Conservation by LUO Wen, LIU Xing, YUAN Zaijian

“…Soil and water conservation is an important part of China's environmental protection work.The construction and application of big data of China's ecological environment have brought technological innovation to soil and water conservation work.However,the application of big data technology in the informatization of soil and water conservation is still in the exploratory stage,and the technology is only used in the soil and water conservation monitoring and construction project guidelines.This paper briefly discusses the informatization construction of soil and water conservation in China.It prospects for the application of big data technology in the design,scheme preparation,monitoring,supervision and management,acceptance evaluation,treatment informatization of soil and water conservation and soil erosion forecasting combined with the processing systems such as batch data,streaming data,interactive data and graph data and the analysis techniques such as knowledge calculation and in-depth learning. …”
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Busy Urban Soundscape Underwater: Acoustic Indicators vs. Hydrophone Data by Kamil Monastyrski, Grzegorz Chrobak, Rengin Aslanoğlu, Jacob Wilkerson, Jan K. Kazak

“…These findings highlight the limitations of traditional acoustic indices in urban aquatic environments and emphasize the need for refined methods to improve hydrophone data interpretation. Thus, this study aims to understand the acoustic indicators’ interactions with underwater urban noise, which is crucial for enhancing environmental monitoring and noise mitigation strategies.…”
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Optimizing Data Filtering in Multi-Armed Bandit Algorithms for Reinforcement Learning by Zhang Shengshi

“…This study investigates the performance of data filtering algorithms in multi-armed bandit (MAB) problems for reinforcement learning applications. …”
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A collaborative auditing scheme with dynamic data updates based on blockchain by Jie Xiao, Hui Huang, Chenhuang Wu, Qunshan Chen, Zhenjie Huang

“…This paper proposes a blockchain-based collaborative public auditing scheme for dynamic data. We design the cloud service provider(CSP) to generate a challenge set using the latest block hash. …”
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Image masks of global ship tracks for NASA MODIS data products by Pierce Warburton, Kurtis Shuler, Jake P. Zenker, Lekha Patel

“…To broadly analyze the effects of ship tracks, high-resolution satellite imagery data highlighting their presence are required. To support this, we provide a hand labelled dataset to serve as a benchmark for a variety of subsequent analyses. …”
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A comprehensive hematological dataset for dengue incidence in Bangladesh(Mendeley Data). by Md. Asraful Sharker Nirob, A K M Fazlul Kobir Siam, Prayma Bishshash, Md. Assaduzzaman, Md. Afzalul Haque, Arif Mahmud

“…Subsequently, several data visualizations were constructed using box plots, violin plots, and pair plots. …”
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Selective imitation for efficient online reinforcement learning with pre-collected data by Chanin Eom, Dongsu Lee, Minhae Kwon

“…In the online RL framework, the agent must interact with the environment to collect data, making sample efficiency the most challenging aspect. …”
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Multimodal Approaches Based on Microbial Data for Accurate Postmortem Interval Estimation by Sheng Hu, Xiangyan Zhang, Fan Yang, Hao Nie, Xilong Lu, Yadong Guo, Xingchun Zhao

“…Due to insufficient information, unimodal models could not comprehensively reflect the PMI, so a muti-modal model should be used to estimate the PMI. Machine learning (ML) offers promising methods for integrating these multimodal data sources, enabling more accurate PMI predictions. …”
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Complexity analysis and practical resolution of the data classification problem with private characteristics by David Pantoja, Ismael Rodríguez, Fernando Rubio, Clara Segura

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Unraveling Spatial Heterogeneity in Mass Spectrometry Imaging Data with GraphMSI by Lei Guo, Peisi Xie, Xionghui Shen, Thomas Ka Yam Lam, Lingli Deng, Chengyi Xie, Xiangnan Xu, Chris Kong Chu Wong, Jingjing Xu, Jiacheng Fang, Xiaoxiao Wang, Zhuang Xiong, Shangyi Luo, Jianing Wang, Jiyang Dong, Zongwei Cai

“…To address these challenges, a novel deep learning‐based approach is proposed, GraphMSI, which integrates metabolic profiles with spatial information to enhance MSI data analysis. Our comparative results demonstrate GraphMSI outperforms commonly used segmentation methods in both visual inspection and quantitative evaluation. …”
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Assessment of a service-learning project experience in mobility and spatial data by Emilio Ortega, Belén Martín, María Eugenia López-Lambas, Cristina Jorquera

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Assessing the suitability of the Langevin equation for analyzing measured data through downsampling by Pyei Phyo Lin, Matthias Wächter, Joachim Peinke, M Reza Rahimi Tabar

“…For real-world data that lack Markov properties, we estimate the functions and parameters using the generalized Langevin equation, which incorporates a memory kernel to account for non-Markovian dynamics.…”
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Construction of application platform for operational data of natural gas pipeline network by Hongtao DIAO, Weichao YU, Kaihong WANG, Huai SU, Yi ZHANG, Zhaoming YANG

“…Methods The underlying data structure of this platform was constructed using a relational database, fully leveraging the automated data acquisition process and remote control technology of key equipment. …”
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Spatiotemporal water quality data reconstruction: A tensor factorization framework by Xuke Wu, Kun Shan, Lan Wang, Jingkai Wang, Mingsheng Shang

“…To validate the proposed models, we conduct comprehensive experiments using real-world AHFM data from Lake Dianchi, China, under various missing data scenarios (20–80 % missing ratios and 1–4 weeks missing gaps). …”
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Dynamics of Language Use in Socio-Academic Contexts and Their Implications for Language Teaching by Muh Kholiq

“…The collected data were analyzed using thematic analysis to identify key patterns and functions of language adaptation. …”
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BUDGET USE AND PERFORMANCE OF MANUFACTURING SMALL AND MEDIUM ENTERPRISES (SMEs) IN LAGOS STATE, NIGERIA by Mubaraq Sanni, Oladipo Oluwafolakemi Fasesin

“…However, the use of budget diagnostically and interactively goes a long way to influence the performance of manufacturing SMEs in Lagos State. …”
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