Showing 661 - 680 results of 10,293 for search 'data coding', query time: 0.16s Refine Results
  1. 661

    Towards effective implementation of building energy efficiency codes in Tripoli, Lebanon: Key actions for enforcement by Tarek Al-Soufi Al-Sukkari, Khaled El-Daghar, Kareem Galal, Ayman Afify

    Published 2024-12-01
    “…The Building Energy Efficiency Codes (BEECs) are a government initiative aimed at regulating CO2 emissions. …”
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  2. 662

    A Space Telescope Scheduling Approach Combining Observation Priority Coding with Problem Decomposition Strategies by Kaiyuan Zhang, Bao-Lin Ye, Xiaoyun Xia, Zijia Wang, Xianchao Zhang, Hai Jiang

    Published 2024-11-01
    “…In each sub-problem, a coding method based on the priority of the target going into the queue is proposed in combination with the actual observation data, and a decoding method matching the coding method is designed. …”
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  3. 663

    A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering by Bahman Arasteh, Peri Gunes, Asgarali Bouyer, Farhad Soleimanian Gharehchopogh, Hamed Alipour Banaei, Reza Ghanbarzadeh

    Published 2023-01-01
    “…The primary objective of comprehending the source code is extracting information used during the software maintenance phase. …”
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  4. 664

    PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces. by Gursimran Singh, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Luca Longo

    Published 2025-01-01
    “…For advanced users, it facilitates the seamless integration of custom functionalities and novel algorithms with minimal coding, ensuring adaptability at each design stage. …”
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    Article
  5. 665

    What's in a face: Automatic facial coding of untrained study participants compared to standardized inventories. by T Tim A Höfling, Georg W Alpers, Björn Büdenbender, Ulrich Föhl, Antje B M Gerdes

    Published 2022-01-01
    “…Automatic facial coding (AFC) is a novel research tool to automatically analyze emotional facial expressions. …”
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  6. 666

    Where Does mBERT Understand Code-Mixing? Layer-Dependent Performance on Semantic Tasks by Aditya Somani, S. R. Mithun Kumar, Aruna Malapati

    Published 2025-01-01
    “…This work contributes a multi-task layer-wise analysis of mBERT’s semantic capabilities on code-mixed data, providing insights into optimal layer usage and pinpointing areas requiring further research for robust multilingual, code-mixed natural language understanding.…”
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  7. 667

    Pengembangan Display Pohon Berbasis QR Code dan Infografis Pada Arboretum INSTIPER Yogyakarta by Mochammad Riski Destrianto, Helmi Afroda

    Published 2023-07-01
    “…Analisis potensi dan masalah, 2. pengumpulan data, 3. pembuatan produk. Tujuan penelitian ini adalah untuk mengetahui proses pembuatan produk pengelolaan koleksi arboretum berbasis QR Code dan infografis pada Arboretum INSTIPER Yogyakarta. …”
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  8. 668

    Coded Pulse Stream LiDAR Based on Optical Orthogonal Frequency-Division Multiple Access by Gunzung Kim, Imran Ashraf, Jeongsook Eom, Yongwan Park

    Published 2023-01-01
    “…In future mobility, robust obstacle detection is imperative for autonomous vehicles, fostering a reliance on vision-based data and the emergence of light detection and ranging (LiDAR) as a pivotal sensor. …”
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  9. 669

    Tomography Method of Cemented Sand Based on Constant Gradient Coded 1D T2 Spectrum by WU Turong, CHEN Jinding, ZHANG Qun, ZHAO Xichun, GUO Minling, CHENG Fanggui

    Published 2024-04-01
    “…This study proposes a tomography method based on constant gradient coded 1D T2 spectrum, which can achieve small imaging data volume, high signal-to-noise ratio and more complete signal. …”
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  10. 670

    High-Precision Joint Ranging Method Based on Pseudo-Random Code and Single-Tone Signal by Chaoyang Li, Zhiyong Lu, Jianfeng Sun, Fei Yang, Weibiao Chen

    Published 2025-01-01
    “…The merging of the pseudo-random code with the single-tone signal in the digital domain and the data processing in the digital domain achieve simultaneous modulation and simultaneous ranging, which ensures the complete synchronization of the two signals during both transmission and processing. …”
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  11. 671
  12. 672

    Example-Based Super-Resolution Image Reconstruction for Positron Emission Tomography Using Sparse Coding by Xue Ren, Soo-Jin Lee

    Published 2024-01-01
    “…To address this limitation, we adopt sparse coding (SC)-based SR techniques, which require only a moderate amount of training data to construct dictionaries for reconstructing high-resolution (HR) images from low-quality projections acquired with low-resolution detectors. …”
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  13. 673

    Expression of long non-coding RNA in patients with non-IgA mesangial proliferative glomerulonephritis by CONG Shan, SUI Wei-guo, ZOU Gui-mian, XUE Wen, LI Huan, YAN Qiang, CHEN Jie-jing, LUO Ya-dan, CHEN Huai-zhou

    Published 2015-01-01
    “…Objective To study differential expression profile of mRNA and long non-coding RNA(IncRNA) through microarray analysis between non-IgA mesangial proliferative glomerulonephritis(MsPGN) patients and the controls,and then explore the potential role of IncRNA in the pathogenesis of non-IgA MsPGN.Methods Through simple random sampling,4 patients with non-IgA MsPGN and 2 controls were selected as disease group and control group,respectively.Renal cortical tissues from two groups were collected.Total RNA was extracted,quantified and prepared to ds-cDNA through reverse transcription ds-cDNA was labeled with NimbleGen one-color DNA labeling kit and used for array hybridization.All experimental data were processed through GO analysis,Pathway analysis and the gene loci correlation analysis of mRNA and IncRNA.Some IncRNAs that were closely related to non-IgA MsPGN were screened out.Finally,part of the array results was detected by PCR to verify the reliability of array test Results By fold change filtering,4317 differentially expressed mRNAs and 3502 differentially expressed IncRNAs were screened out.Five IncRNAs were found to play potential roles in the pathogenesis of non-IgA MsPGN:AF1180924(close to coding gene FGG),AK092233(close to coding gene COL18A1),AK130579(close to coding gene CREBBP),AK023598(close to coding gene LEPR),and AK055915(close to coding gene CDC42EP3).These results provided an important basis for revealing the pathogenesis of non-IgA MsPGN.Conclusions Some IncRNAs can potentially regulate related genes and plays an important role in the pathogenesis and development of non-IgA MsPGN.…”
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  14. 674

    Chain-of-programming (CoP): empowering large language models for geospatial code generation task by Shuyang Hou, Haoyue Jiao, Zhangxiao Shen, Jianyuan Liang, Anqi Zhao, Xiaopu Zhang, Jianxun Wang, Huayi Wu

    Published 2025-08-01
    “…Large Language Models (LLMs) have driven the development of geospatial code generation but face challenges such as incomplete user requirements and insufficient knowledge of platform-specific syntax, often leading to ‘code hallucination.’ …”
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  15. 675
  16. 676

    Brief research report: development of codes of conduct in online classrooms for Vietnamese high school students by Bui Thanh Thuy, Xuan-An Nguyen, Nguyen Thi Viet Ha, Vo Thanh Ha, Nguyen Thi Kieu Anh, Do Thi Ngoc Hien

    Published 2025-05-01
    “…One of the outcomes of this research is a dataset comprising six files related to the scale development process. From the collected data, we conducted analyses to explore the Codes of Conduct in Online Classrooms of Vietnamese High School Students using Exploratory Factor Analysis and Confirmatory Factor Analysis.ResultsThe analysis results indicate that the Codes of Conduct in Online Classrooms of Vietnamese High School Students include four aspects: (1) Students' attitudes toward teachers and classmates; (2) Students' communication conduct toward teachers and classmates; (3) Students' conduct in using the camera; and (4) Dress Code, Sitting Posture and Learning Location Regulations.ConclusionThe codes of conduct in online classrooms play a crucial role in creating a positive, effective, and culturally rich learning environment. …”
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  17. 677

    Global Trends and Empirical Metrics in the Evaluation of Code Smells and Technical Debt: A Bibliometric Study by Ronald Henry Diaz Arrieta, Byron Leoncio Diaz Monroy, Luis Javier Castillo Heredia, Alexandra Gabriela Valenzuela Cobos

    Published 2025-01-01
    “…The most prominent topics include the application of artificial intelligence techniques for automated detection of code smells, the use of empirical metrics such as cyclomatic complexity and data dependencies, and the implementation of strategies such as automated refactoring and peer review for mitigation. …”
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  18. 678

    A DSL-Driven Solution and Code Generation for Accelerated Tourism Decision Support System Development by Adnane Souha, Charaf Ouaddi, Lamya Benaddi, Hamza Abdelmalek, El Mahi Bouziane, Abdeslam Jakimi

    Published 2025-01-01
    “…Decision Support Systems (DSS) play a crucial role in commerce and tourism by assisting decision-making through data analysis, modeling, and visualization. However, their development is often complex, costly, and requires expertise in both software engineering and Artificial Intelligence, making them inaccessible to many organizations. …”
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  19. 679

    Performance Analysis of Deep Learning-Based Lossy Point Cloud Geometry Compression Coding Solutions by Joao Prazeres, Rafael Rodrigues, Manuela Pereira, Antonio M. G. Pinheiro

    Published 2025-01-01
    “…The quality evaluation of three deep learning-based coding solutions for point cloud geometry, notably ADLPCC, PCC GEO CNNv2, and PCGCv2, is presented. …”
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  20. 680

    Use of serum long non-coding RNA expression panel as a marker for diabetic retinopathy by Eric Wang, Shali Chen, Anorin Ali, Biao Feng, Selina Liu, John Gonder, Tom Sheidow, Phil Hooper, Subrata Chakrabarti, Subrata Chakrabarti, Subrata Chakrabarti

    Published 2025-04-01
    “…We also explored the possibility of creating a statistical model to detect DR from serum samples using the expression profiles of these lncRNAs.ResultsOur regression models, based solely on lncRNA expression data, demonstrated the ability to adequately detect DR and potentially predict it. …”
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