Limitless Borderless Forgetfulness? Limiting the Geographical Reach of the ‘Right to be Forgotten’ by Dan Jerker B Svantesson

“…However, in sharp contrast, the EU’s Article 29 Working Party on data protection wants global blocking so as to ensure that EU law is not ‘circumvented’. …”
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Performance Evaluation of MRMED Algorithm by Monitoring BER by SYED RIZWAN-UL-HASAN, Muhammad Tahir

“…In MRMED data is first encoded with Reed Muller (RM) code. …”
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Small sample smart contract vulnerability detection method based on multi-layer feature fusion by Jinlin Fan, Yaqiong He, Huaiguang Wu

“…Furthermore, there is a special type of patched contract code that contains vulnerability features which need to be studied. …”
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PyReX: A Recursion Based Crossover Detection Algorithm in Python for Along‐Track Geophysical Measurements by K. V. N. G. Vikram, D. V. P. Krishna, K. M. Sreejith

“…We further demonstrate that PyReX significantly improves the computation speed for high frequency along‐track measurements from satellite altimeters and ship‐borne gravity data compared to existing algorithms. PyReX is a flexible, open‐source code that could be easily customized for variety of applications involving large‐scale track‐line data sets.…”
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Deploying an Educational Mobile Robot by Dorina Plókai, Borsa Détár, Tamás Haidegger, Enikő Nagy

“…Python-based tools, including Matplotlib and Visual Studio Code, were used for data visualization and analysis. …”
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Deep learning based agricultural pest monitoring and classification by Stella Mary Venkateswara, Jayashree Padmanabhan

“…Autoencoder is utilized to address data imbalance issue by generating augmented images. …”
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Balanced coarse-to-fine federated learning for noisy heterogeneous clients by Longfei Han, Ying Zhai, Yanan Jia, Qiang Cai, Haisheng Li, Xiankai Huang

“…Abstract For heterogeneous federated learning, each client cannot ensure the reliability due to the uncertainty in data collection, where different types of noise are always introduced into heterogeneous clients. …”
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Investigating the Factors That Influence the Ridership of Light Rail Transit Systems Using Thematic Analysis of Academic Literature by Huseyin Ayan, Margaret Bell, Dilum Dissanayake

“…This study investigates the factors influencing urban rail demand using qualitative data analysis, with a focus on thematic analysis. …”
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Unsupervised random walk manifold contrastive hashing for multimedia retrieval by Yunfei Chen, Yitian Long, Zhan Yang, Jun Long

“…Abstract With the rapid growth in both the variety and volume of data on networks, especially within social networks containing vast multimedia data such as text, images, and video, there is an urgent need for efficient methods to retrieve helpful information quickly. …”
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Robust SAR-assisted cloud removal via supervised align-guided fusion and bidirectional hybrid reconstruction by Anling Wang, Kai Xu, Wenxin Wang, Taoyang Wang, Zhaohong Jia, Chengcheng Fan

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Health screening and its association with emergency department visits and related costs among home-dwelling older adults by Jonna-Carita Kanninen, Hannu Kautiainen, Anu Holm

“…Background The aim of this study was to evaluate the effectiveness of the health screening procedure for home-dwelling older adults in reducing emergency department visits and associated costs.Methods Data were derived from health screenings from 2020 to 2021 for 75-year-old home-dwelling residents of Western Finland. …”
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Investigating Offensive Language Detection in a Low-Resource Setting with a Robustness Perspective by Israe Abdellaoui, Anass Ibrahimi, Mohamed Amine El Bouni, Asmaa Mourhir, Saad Driouech, Mohamed Aghzal

“…Moroccan Darija, a dialect of Arabic, presents unique challenges for natural language processing due to its lack of standardized orthographies, frequent code switching, and status as a low-resource language. …”
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Research on a Quality Control Method for L Band Second-Level Radiosonde toward Assimilation Applications by Dan WANG, Jincheng WANG, Weihong TIAN

“…Since 2003， the World Meteorological Organization （WMO） proposed and coordinated a switch from traditional radiosonde format （TAC code） to second-resolution binary （BUFR） report， which leads the assimilation of second radiosonde data in numerical prediction model becoming the future trend.Data quality control is a key and basic work before assimilation application.In addition， the observational error characteristics of Lband second-level radiosonde are significantly different from that of conventional radiosonde.Therefore， a two-step quality control method for assimilation application is developed in this paper.The first step integrates conventional radiosonde quality control procedures and inserts several additional steps according to the data characteristics of second-level radiosonde， which aims at eliminating human-observation errors as much as possible.The second step introduces a dynamic blacklist checking module into the assimilation system， at the same time remaining the old OMB （observation minus background） check method， so as to control the representative deviation between the observation and the model background.By comparing and analyzing the statistical characteristics of the observation samples before and after the quality control procedure， and combining them with the actual assimilation analysis results of the NWP model， the rationality of the two-step quality control procedure has been comprehensively verified.It reveals that the data anomaly is greatly reduced after the two-step quality control procedure， at the same time the OMB is closer to a Gaussian distribution.Moreover， the validity of data assimilation is enhanced leading to a better assimilation analysis effect.The work lays a foundation for the future operational application of L-band second-level radiosonde data in GRAPES （Global/Regional Assimilation and Prediction System） model.…”
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Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation by Soyul Han, Jaejin Seo, Sunmook Choi, Taein Kang, Sanghyeok Chung, Seungeun Lee, Seoyoung Park, Seungsang Oh, Il-Youp Kwak

“…If a model is heavily reliant on data within frequency ranges that contains noise, its performance will be suboptimal. …”
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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

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A recurrent YOLOv8-based framework for event-based object detection by Diego A. Silva, Kamilya Smagulova, Ahmed Elsheikh, Mohammed E. Fouda, Ahmed M. Eltawil

“…ReYOLOv8 incorporates a low-latency, memory-efficient method for encoding event data called Volume of Ternary Event Images (VTEI) and introduces a novel data augmentation technique based on Random Polarity Suppression (RPS) optimized for event-based sensors and tailored to leverage the unique attributes of event data. …”
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Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers by Arafet Sbei, Khaoula ElBedoui, Walid Barhoumi

“…The proposed hybrid method offers a robust and adaptable solution for sentence annotation pipelines, enhancing performance in diverse natural language processing applications with limited labeled data. Code is available at https://github.com/arafet/Text-annotation-using-rule-based-method-and-Transformers.…”
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Effect of aspirin use on conversion risk from mild cognitive impairment to Alzheimer’s disease by Bo Kyu Choi, Yeonju Jin, Hokyung Lee, Sung-Woo Kim, Sung-Woo Kim, Sojeong Park, Ickpyo Hong, Min Seok Baek, Min Seok Baek

“…Aspirin use was assessed by extracting information from the Korean National Health Insurance Service database using aspirin prescription codes. The primary outcome was newly diagnosed Alzheimer’s disease dementia. …”
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A bayesian network model for neurocognitive disorders digital screening in Chinese population: development and validation study by Yifan Yu, Shuaijie Zhang, Hongkai Li, Fuzhong Xue

“…Abstract Background Neurocognitive disorders (NCDs), classified under the ICD-10 codes F00-F09, are a category of mental disorders associated with brain disease, injury, or systemic conditions leading to cerebral dysfunction. …”
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ActBeCalf: Accelerometer-based multivariate time-series dataset for calf behavior classificationZenoob - EU Open Research Repository by Oshana Iddi Dissanayake, Sarah E. McPherson, Joseph Allyndrée, Emer Kennedy, Pádraig Cunningham, Lucile Riaboff

“…However, this accelerometer time series data must be aligned with labels describing behaviors (gold standard) to be used for model development. …”
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