Enhancing Learning-Based Cross-Modality Prediction for Lossless Medical Imaging Compression by Daniel S. Nicolau, Lucas A. Thomaz, Luis M. N. Tavora, Sergio M. M. Faria

“…However, this significantly increases data size, posing storage and transmission challenges. …”
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Mapping of UK Biobank clinical codes: Challenges and possible solutions. by Oleg Stroganov, Alena Fedarovich, Emily Wong, Yulia Skovpen, Elena Pakhomova, Ivan Grishagin, Dzmitry Fedarovich, Tania Khasanova, David Merberg, Sándor Szalma, Julie Bryant

“…Significant efforts to perform data reformatting, mapping to any selected ontologies (such as SNOMED-CT) and harmonization are required from any data user to integrate UK Biobank hospital inpatient and self-reported data, data from various registers with primary care (GP) data. …”
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A Comparison of Peer- and Tutor-Grading of an Introductory R Coding Assessment by Charlotte M. Jones-Todd, Amy Renelle

“…Using standard multivariate data analysis techniques we find that tutors and peers grade similarly given a prescriptive criterion. …”
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Efficient routing algorithm for opportunistic networks based on network coding by Zhi REN, Zhi-hu LIU, Yu-kun YAO, Qian-bin CHEN

“…To address the problem in opportunistic network that t existing epidemic-mechanism-based routing algorithms incur redundant communication overhead during the transmission of data packets,an efficient routing algorithm based on network coding,called NCBER (network-coding-based epidemic routing),was proposed.During the transmission of data packets,NCBER adopts an active XOR coding operation and multicast,and cancels the transmission of the Request control packets,so as to reduce the time used to transmit data packets,as well as the number of control packets.As a result,NCBER cuts down the network overhead and ortens the end-to-end delay of data packets.Theoretical analysis and extensive simulation results show that NCBER outperforms the classical epidemic routing algorithm and its improvement called MRRMR (message redundancy removal of multi-copy routing) in terms of the network overhead and the end-to-end delay,while still keeping the delivery rate at 100%.…”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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Multi-Layered Security Framework Combining Steganography and DNA Coding by Bhavya Kallapu, Avinash Nanda Janardhan, Rama Moorthy Hejamadi, Krishnaraj Rao Nandikoor Shrinivas, Saritha, Raghunandan Kemmannu Ramesh, Lubna A. Gabralla

“…This study proposes a multi-layered security approach that integrates cryptographic and steganographic techniques to enhance data protection. The framework leverages advanced methods such as encrypted data embedding in images, DNA sequence coding, QR codes, and least significant bit (LSB) steganography. …”
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Cognitive Computing with Large Language Models for Student Assessment Feedback by Noorhan Abbas, Eric Atwell

Subjects: “…data science assessments…”
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AN ANALYSIS OF CODE MIXING USED ON GITA SAVITRI'S YOUTUBE CHANNEL by Fitra Khairinnahda, Syofia Delfi, Eliwarti Eliwarti

“…The results reveal 164 data of code-mixing. The first video, with the title ”Jadi Kaum Open-Minded,” with a total of 92 data, contains intra sentential and intra-lexical code mixing; the second video, with the title “Pengen Jago Bahasa Inggris,” with a total 44 data code mixing, contains intra sentential and intra lexical code mixing. …”
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An Explainable Deep Semantic Coding for Binary-Classification- Oriented Communication by Shuhui Wang, Zuxing Li, Xin Huang, Qi Jiang

“…Prior efforts toward semantic coding often rely on learning-based feature extraction methods but tend to overlook data compression and lack a rigorous theoretical foundation. …”
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Rateless Space Time Block Code for Massive MIMO Systems by Ali H. Alqahtani, Ahmed Iyanda Sulyman, Abdulhameed Alsanie

“…We show that RSTBC guarantees the reliability of the system in such cases, even when the data loss rate is 25% or more. In such a highly lossy channel, the conventional fixed-rate codes fail to perform well, particularly when channel state information is not available at the transmitter. …”
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Dynamic RCS Reduction Performances of Antenna Array with Coding Metasurface by Yan Chen, Xiao-Xiang He, Yang Yang, Heng-Yan Hu, Fu-Kang Li, Lei Yang

“…On the basis of combining the two concepts of digital coding metasurface and metasurface antenna, low radar cross-section (RCS) coding metasurface antenna array with dynamic scattering performances is presented in this paper. …”
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A method for uncertainty and sensitivity analysis in fuel performance codes by Ana Carolina Bortoletto Dantas, Antonio Teixeira e Silva

“…The present study proposes a method for the execution of uncertainty and sensitivity analysis on TRANSURANUS code, adapted for the use of stainless steel AISI-348 as the cladding material for a PWR reactor fuel rod, thus allowing to determine which input data are more relevant to the TRANSURANUS models, as well as a confidence interval for the results. …”
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Smart Attendance System for University Students Based on QR Code by ABU SNEINEH Anees, SALAH Wael A.

“…When a student presents the ID card in front of a QR reader, the student's data is scanned using the algorithm described in this paper. …”
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Predicting proprioceptive cortical anatomy and neural coding with topographic autoencoders. by Max Grogan, Kyle P Blum, Yufei Wu, J Alex Harston, Lee E Miller, A Aldo Faisal

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POSITIONING AND NAVIGATION TECHNIQUES FOR AUTONOMOUS VEHICLES USING QR CODE by Nguyen Thi Thu

“…The system integrates a Raspberry Pi 4 embedded computer to process QR code information via a USB camera, receive commands from a remote control interface, and transmit control signals to the microcontroller after analyzing QR code data. …”
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Code-mixing Analysis on Narasi Newsroom with Cinta Laura Kiehl by Hani Elmahida, Berliana Islamiati, Endang Sartika

“…The primary data were gathered by conducting video observation on YouTube and doing note-taking of the manuscript which consists of code-mixing. …”
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Malnutrition: The Importance of Identification, Documentation, and Coding in the Acute Care Setting by Jane Kellett, Greg Kyle, Catherine Itsiopoulos, Mark Naunton, Narelle Luff

“…Ninety-eight percent of malnourished patients were coded as malnourished in medical records. The results of the medical history audit of patients in control groups showed that between 0.9 and 5.4% of patients were coded as malnourished which is remarkably lower than the 52% of patients who were coded as malnourished from the point prevalence study data. …”
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Algorithms weighing lives and freedoms: The case of China’s health code by Ina Virtosu, Chen Li

“… In response to the COVID-19 outbreak in the beginning of 2020, Chinese local governments created a software extension on existing mobile applications to monitor citizens’ movement and collect their health data. Very quickly China’s health code became a key resource for the country’s governments to track and contain COVID-19 cases using time, location, and personal interactions. …”
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A Code-Based ISE to Protect Boolean Masking in Software by Qi Tian, Hao Cheng, Chun Guo, Daniel Page, Meiqin Wang, Weija Wang

“… Side-Channel Attacks (SCAs) pose a significant threat to data security in embedded environments. To counteract the power-based SCAs, masking is a widely used defense technique, that introduces randomness to obscure the sidechannel information generated during the processing of secret data. …”
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The work of Živojin Perić on the codification of the Civil Code of interwar Yugoslavia by Mirković Zoran S.

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