Showing 261 - 280 results of 905 for search 'transition (errors OR error)', query time: 0.11s Refine Results
  1. 261

    Traffic Multiresolution Modeling and Consistency Analysis of Urban Expressway Based on Asynchronous Integration Strategy by Liyan Zhang, Jian Ma, Bin Ran, Lixin Yan

    Published 2017-01-01
    “…The simulation results showed the following. (1) Volume-density relationships of three submodels are unanimous with detector data. (2) When traffic density is high, macromodel has a high precision and smaller error and the dispersion of results is smaller. Compared with macromodel, simulation accuracies of micromodel and mesomodel are lower but errors are bigger. (3) Multiresolution model can simulate characteristics of traffic flow, capture traffic wave, and keep the consistency of traffic state transition. …”
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    Article
  2. 262

    Dynamic Density-Guided Method for Multi-Robot Formation Transformation by CAO Kai, CHEN Yangquan, LI Kang, CHEN Chaobo, YAN Kun, LIU Weichao

    Published 2024-11-01
    “…The CVT algorithm then guides the robots in the formation to move and complete the transition and reconstruction of the formation. The simulation results demonstrate that, compared to using the desired density function directly, this method not only successfully resolves certain formation transition failures but also reduces the average positional error of the formation during the transition process.…”
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  3. 263

    Dynamically generated concatenated codes and their phase diagrams by Grace M. Sommers, David A. Huse, Michael J. Gullans

    Published 2025-04-01
    “…In the presence of bulk errors, the coding phase is a type of spin glass, characterized by a distribution of failure probabilities. …”
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    Article
  4. 264

    Dextrosinistral reading of SMILES notation: Investigation into origin of non-sense code from string manipulations by Anup Paul

    Published 2025-06-01
    “…As Chomsky type-2 language, SMILES notation is supported with context-free grammar, raising errors for invalid string arrangements. Numerous efforts have been made to recover chemical structures in invalid SMILES strings. …”
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    Article
  5. 265

    Drag Coefficient Constraints for Space Weather Observations in the Upper Thermosphere by Valerie Bernstein, Marcin Pilinski

    Published 2022-05-01
    “…As such, existing drag coefficient model errors and corresponding errors in orbit‐derived density data sets and models may be altitude and solar cycle dependent with greater errors at higher altitudes around 500 km near the oxygen‐to‐helium transition region. …”
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    Article
  6. 266

    Assimilation of snow water equivalent from AMSR2 and IMS satellite data utilizing the local ensemble transform Kalman filter by J. Lee, M.-I. Lee, S. Tak, E. Seo, E. Seo, Y.-K. Lee

    Published 2024-12-01
    “…The data assimilation (DA) demonstrates the positive impacts by reducing uncertainty in the JULES model simulations in most areas, particularly in the midlatitude transition regions. In the transition regions, the model background errors from the ensemble runs are significantly larger than the observation errors, emphasizing great uncertainty in the model simulations. …”
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    Article
  7. 267

    Biometric Infrastructures and the Indian Public Distribution System by Silvia Masiero

    Published 2020-04-01
    “…It argues that, while designed with the objective of combating the rice mafia resulting in foodgrain diversion, a biometric PDS does not prevent the exclusion errors pervading the program, and supports the transition to a cash transfer system whose developmental outcomes are still uncertain. …”
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    Article
  8. 268

    The Impact of Electronic Health Records in Management of Chronic Diseases in Uganda: A Case Study of Kampala International Teaching Hospital. by Tusasiibwe, Ivan

    Published 2024
    “…Findings indicate that EHR helps to quickly deliver information in managing clients, helps to easily gauge performance as fast as required; and easy access to the information in preparation for eligibility of clients' transition to new drugs. The study also revealed challenges that affect Electronic Health Records include lack of enough data personnel that leads to delayed data entry; and entry of incomplete data, work overload, and unreliable data in the system that leads to treatment errors. …”
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    Thesis
  9. 269

    Consideration of corona discharge in relation to operational dispatch control of power system mode 500 kV by V. A. Menshov, A. V. Valiansky, T. I. Khairullin

    Published 2024-04-01
    “…The authors recommend taking into account effect of a meteorologically dependent corona in the future developments in order to avoid accumulated error (if there are number of power lines equipped with only a few PMU at the beginning or end). …”
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  10. 270

    High-content screening (HCS) workflows for FAIR image data management with OMERO by Riccardo Massei, Wibke Busch, Beatriz Serrano-Solano, Matthias Bernt, Stefan Scholz, Elena K. Nicolay, Hannes Bohring, Jan Bumberger

    Published 2025-05-01
    “…These workflows facilitate the management of large amounts of data, reduce the risk of human error, and improve the efficiency and effectiveness of image data management. …”
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    Article
  11. 271

    Research on Automated On-Site Construction of Timber Structures: Mobile Construction Platform Guided by Real-Time Visual Positioning System by Kang Bi, Xinyu Shi, Da Wan, Haining Zhou, Wenxuan Zhao, Chengpeng Sun, Peng Du, Hiroatsu Fukuda

    Published 2025-05-01
    “…By deconstructing traditional modular stacking methods and iteratively developing the process in a controlled laboratory environment, the authors formalize raw construction experience into an effective workflow, supplemented by a self-feedback error correction system to achieve precise, real-time end-effector positioning. …”
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  12. 272

    Inter-player Variability Within the Same Positional Status in High-level Men's Volleyball by João Bernardo Martins, José Afonso, Ademilson Mendes, Letícia Santos, Isabel Mesquita

    Published 2022-09-01
    “…Results: (a) in side-out under non-ideal setting conditions, OHNs preferred the strong attack while OHAs alternated between the strong attack and the tip; (b) after a prior action, OHNs attacked via exploration of the block while OHAs preferred the tip; (c) after consecutive errors, OHNs play more in the opponent’s error; (d) after a previous defense action, OHNs preferred the strong attack and exploration of the block while OHAs preferred the strong attack; (e) in transition, OHNs were solicited under non-ideal setting conditions while OHAs were solicited in ideal and non-ideal conditions. …”
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    Article
  13. 273

    Automatic and accurate measurement of cattle body based on a lightweight YOLOv8-Pose model and 3D point cloud by Chunhong Yue, Xiaohang Zhang, Yajun Zhang, Haijun Jiang, Haoyuan Miao

    Published 2025-06-01
    “…Additionally, when compared to manual measurement, the proposed body measurement method maintains an overall relative error of <4 %.…”
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    Article
  14. 274

    Comparison of Berkovich and spherical tip indentation for determining the Young’s modulus of polymer thin films encapsulated by a dielectric by Marina Melo de Lima, Vincent Mandrillon, Jennifer Hay, Laurent-Luc Chapelon, Christophe Poulain, Olivier Lebaigue

    Published 2024-12-01
    “…However, when performing temperature-dependent nanoindentation studies directly on the polymer film, contamination of the tip can occur near or above the glass transition temperature leading to estimation errors. …”
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    Article
  15. 275

    Determinants of Deindustrialisation in Developed European and Post-Communist Countries by Marija Beg, Martina Basarac Sertic, Ivo Druzic

    Published 2017-06-01
    “…The paper highlights the standard or “natural” and transition forms of deindustrialisation. In our analysis, we use a one-step system generalized method of moments estimator with robust standard errors, and in contrast to our expectations, the obtained result did not support the initial hypothesis that deindustrialisation in post-communist economies is characterized by factors crucially different from those in developed European countries.…”
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    Article
  16. 276

    Precise assessment of flood risk and accurate allocation of disaster relief funds through a fuzzy set approach by Yudong Wang, Xida Yu, Lanjia Yi, Yun Chen, Qi Ao, Wenjun Shi, Lingyun Huang

    Published 2024-12-01
    “…However, this approach may overlook errors with significant hazards caused by the transition from watershed hazard maps to administrative hazard maps. …”
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    Article
  17. 277

    BUSINESS PLANNING STARTUPS IN CONTEXT, ATTRACTING VENTURE CAPITAL INVESTMENT by V. A. Vernikov

    Published 2015-09-01
    “…As the experience of western businessmen, errors that may have occurred during the development of a business plan: the unreliability and incompleteness of the input information; ignoring the need to prepare an analysis of the market or use in its preparation unreliable sources; errors in the calculations carried out, their incompleteness; errors in the text part of the business plan, as well as non-compliance with the logic of the material, its scarcity, unprofessional calculations; lack of risk analysis. …”
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    Article
  18. 278

    A robust cascaded strategy of in-motion alignment for inertial navigation systems by Wanke Liu, Rui Duan, Feng Zhu

    Published 2017-09-01
    “…The root mean square of the heading error and level angle error for the FSAS are 2.08° and 0.50°, respectively, while those for the SBG are 2.95° and 1.44°, respectively.…”
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  19. 279

    Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

    Published 2025-06-01
    “…The predictions were combined and reconstructed, and a BiLSTM-based error correction model further corrected the errors, yielding the final prediction results. …”
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    Article
  20. 280

    A machine learning computational approach for the mathematical anthrax disease system in animals. by Zulqurnain Sabir, Eman Simbawa

    Published 2025-01-01
    “…Moreover, the statistical performances in terms of regression coefficient, error histogram, and state transition values enhance the reliability of the proposed stochastic machine learning approach.…”
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    Article