Machine Learning-Based 3D Soil Layer Reconstruction in Foundation Pit Engineering by Chenxi Zhang, Nan Li, Xiuping Dong, Bin Liu, Meilian Liu

“…In underground structure and pressure analysis, soil layer and support structure data are indispensable. Therefore, soil layer reconstruction serves as a critical step, while sparse borehole data limit the accuracy of traditional reconstruction methods. …”
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HARD- AND SOFTWARE SUPPORT OF DATA AND KNOWLEDGE PROCESSING METHOD WITH CIPHERING ELEMENTS FOR INTERNET by V. A. Vishniakov, D. S. Borodaenko

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A Methodology for the Identification of Topic Transitions in Interaction by Marine Riou

“…Many analysts use the notion of “topic” to describe segments of discourse, whether written or spoken, and many regret that even though a considerable amount of work has been devoted to understanding and defining the notion of discourse topic, the analyst is often left without a robust methodology to apply to their own data. This paper uses a mixed-methods approach that draws on the qualitative-oriented theoretical frameworks of Conversational Analysis and Interactional Linguistics, and combines them with quantitative methods used in other sub-fields of linguistics, such as the coding schemes and inter-rater agreement measures used in Corpus Linguistics. …”
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Qualitative Data Analysis and Systematic Research Method Based on Japanese Cultural Context by Tomomi Kubota, Zeyu Lang, Masahiro Arimoto

“…Coding was conducted based on a frame ("kizuki", "nakama") from the narrative data, which was based on the concept of Japanese cultural context. …”
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Whole genome data sequence for VIT_AJPSC phage against Shigella dysenteriae by Aishwarya Srivastava, N. S. Jayaprakash

“…Our study focuses on whole genome data sequence for bacteriophage isolated against Shigella dysenteriae. …”
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Analysing humanities scholars’ data seeking behaviour patterns using Ellis' model by Wenqi Li, Pengyi Zhang, Jun Wang

“…Introduction. Much of humanities data are existing materials. Yet there are few works examining humanities scholars’ data seeking behaviours. …”
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LPItabformer: Enhancing generalization in predicting lncRNA-protein interactions via a tabular Transformer by Qin Lin, Jie Sheng, Chang Zhou, Tao Xiao, Yilei Meng, Mingxin Lu, Junfang Zhang, Xueyun Yan, Luying Peng, Huaming Cao, Li Li

“…Current computational methods for evaluating LPIs with their utility and generalization have significant room for improvement. In this study, data splitting by incorporating protein clusters as group information reveals that lots of LPI prediction methods suffer from generalization flaws due to data leakage caused by ignoring LPI biological properties. …”
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Review of HEVC video encryption technology by YE Qing, LIU Xiaobing, RONG Li, HE Junfei, ZHANG Qiaojia

“…Concerning the issue of illegal access and malicious destruction of video data during transmission and storage, a review on encryption techniques under the high efficiency video coding (HEVC) standard was conducted, starting with the HEVC standard and encryption technology. …”
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Generative AI chatbot for teachers’ data-informed decision-making: Effects and insights by Jiwon Lee and Jeongmin Lee

“…This study aimed to develop a generative AI chatbot to enhance teachers’ data literacy (DL) and data-informed decision-making (DIDM). …”
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Taking Law Seriously: The Challenges of Law as Research Data in Socio-legal Scholarship by Audrey M Plan

“…This approach transcends the qualitative/quantitative divide, identifying common challenges that arise when law is treated as research data. Methodological tools from the social sciences and examples from recently published socio-legal scholarship are used to demonstrate how law presents unique challenges at the stages of conceptualisation, operationalisation and coding. …”
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The Application of Machine Learning to Educational Process Data Analysis: A Systematic Review by Jing Huang, Yan Ping Xin, Hua Hua Chang

“…The findings of this review indicate that (1) clickstream data is the most widely used processing data type, (2) process data analysis offers actionable insights to support differentiated instruction and address diverse student needs, and (3) ML typically serves as a tool for coding process data or estimating student ability. …”
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What is the State of the Art on UX Data Visualization? A Systematic Mapping of the Literature by Lucas Katib do Amaral, Maylon Macedo, Luciana Zaina

“… From a Human-Computer Interaction perspective, data visualizations are visual representations of data that improve users' cognitive capabilities during a task. …”
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What is the State of the Art on UX Data Visualization? A Systematic Mapping of the Literature by Lucas Katib do Amaral, Maylon Macedo, Luciana Zaina

“… From a Human-Computer Interaction perspective, data visualizations are visual representations of data that improve users' cognitive capabilities during a task. …”
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Exploration of Large language model assisted boulder detection from Lidar data by L. Zhu, E. Hattula, J. Raninen

“…Due to the complexity of working and availability with very high-resolution data for boulder detection, few studies have explored this area. …”
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Enhancing Distributed Machine Learning through Data Shuffling: Techniques, Challenges, and Implications by Zhang Zikai

“…This paper systematically explores various data shuffling methods, including random shuffling, stratified shuffling, K-fold shuffling, and coded shuffling, each with distinct advantages, limitations, and application scenarios. …”
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Inferring single-cell and spatial microRNA activity from transcriptomics data by Efrat Herbst, Yael Mandel-Gutfreund, Zohar Yakhini, Hadas Biran

“…Typically, miRNA regulation drives changes in the composition and levels of protein-coding RNA and of lncRNA, with targets being down-regulated when miRNAs are active. …”
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Sensory Encoding Alternates With Hippocampal Ripples across Cycles of Forebrain Spiking Cascades by Yifan Yang, David A. Leopold, Jeff H. Duyn, Grayson O. Sipe, Xiao Liu

“…Here, by analyzing large‐scale neural recording data collected by the Allen Institute, it is demonstrated that these intrinsic processes persist across the mouse brain even during periods of continuous visual stimulation. …”
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Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

“…In this work, the 3D corn models derived from segmentation are employed to systematically output the fragmented point cloud data in batches. The Shape Coding PointAttN (SCPAN) algorithm is also proposed, which is based on PointAttN. …”
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WMSNs Data Hidden Anomaly Detection Based on OH-KFJLT Bloom Filter by Chenkai Xiao, Zhongsheng Li, Yanming Wu

“…Then, the RCS is adopted to de-noise the data. Finally, the Bloom Filter is constructed by 0-1 coding. …”
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SPEED: A Graphical User Interface Software for Processing Eye Tracking Data by Daniele Lozzi, Ilaria Di Pompeo, Martina Marcaccio, Matias Ademaj, Simone Migliore, Giuseppe Curcio

“…In this work, a new software called SPEED (labScoc Processing and Extraction of Eye tracking Data) is presented to process data acquired by Pupil Lab Neon (Pupil Labs, Berlin, Germany). …”
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