Showing 3,241 - 3,260 results of 4,920 for search 'sources optimization (method OR methods)', query time: 0.30s Refine Results
  1. 3241

    CLEAR: Multimodal Human Activity Recognition via Contrastive Learning Based Feature Extraction Refinement by Mingming Cao, Jie Wan, Xiang Gu

    Published 2025-02-01
    “…Relying solely on existing labeled data may not adequately address the challenge of ensuring the model’s generalization ability to new data. The ’CLEAR’ method is designed to improve the accuracy of multimodal human activity recognition. …”
    Get full text
    Article
  2. 3242

    SUSPECTED MEASLES AND IMMUNIZATION TRENDS BEFORE AND DURING COVID-19 IN EAST JAVA, INDONESIA by Munif Arifin, Meilinda Alya' Putri Haryanik, Irma Prasetyowati

    Published 2025-05-01
    “…Purpose: This study aims to analyze measles suspects' epidemiological characteristics before and during the COVID-19 pandemic. Method: This study used a cross-sectional approach. …”
    Get full text
    Article
  3. 3243

    Analysis of AC winding loss of permanent magnet synchronous traction motor with high power by LI Xiangcheng, WANG Yingchun, NI Wei, WU Nan

    Published 2022-09-01
    “…AC winding loss is the sum of DC winding loss and eddy current loss. The sources, calculation methods and influencing factors of AC winding loss of PMSTM with high frequency and power were studied. …”
    Get full text
    Article
  4. 3244

    Experience of using telemedicine technologies in healthcare systems of foreign countries and the Russian Federation: systematic review by O. A. Volkova, S. S. Budarin, E. V. Smirnova, Yu. V. Elbek

    Published 2022-01-01
    “…Today, the development and widespread use of digital technologies in medicine is considered as one of the most promising mechanisms for optimizing costs and improving the efficiency of healthcare and the quality of life of the aging society.Objective: to study the experience of using telemedicine technologies for providing medical care in the health systems of different countries, including the Russian Federation.Material and methods. …”
    Get full text
    Article
  5. 3245

    Social Factors Influencing Healthcare Expenditures: A Machine Learning Perspective on Australia’s Fiscal Challenges by Wei Gu, Zhantian Zhang, Ou Liu

    Published 2025-06-01
    “…While traditional statistical methods struggle to capture complex data relationships, machine learning offers a more robust approach to handling intricate and non-linear data. …”
    Get full text
    Article
  6. 3246

    Towards Sustainable Campus Development: A Case Study of Klaipeda University by Anne Olga, Mikalauskas Ignas

    Published 2025-01-01
    “…The evaluation involves a mixed-methods research approach, utilizing both qualitative and quantitative data from technical reports, system performance metrics, and academic literature. …”
    Get full text
    Article
  7. 3247

    A comprehensive review of digital twin in healthcare in the scope of simulative health-monitoring by Mubaris Nadeem, Sascha Kostic, Mareike Dornhöfer, Christian Weber, Madjid Fathi

    Published 2025-01-01
    “…The availability of new data sources raises the potential for developing structured approaches for prediction and analysis. …”
    Get full text
    Article
  8. 3248

    Assessing Staffing Needs in the Maintenance Department of a Tertiary Care Teaching Hospital Using Workload Analysis by Alvita Lurdin Saldanha, Shyni Cardoza, Jyothi Seema Moras, Sonal Sophia Fernandes

    Published 2025-01-01
    “… Background Effective staffing in hospital maintenance departments is crucial for ensuring smooth operation of healthcare facilities and maintaining high-quality patient care. However determining optimal staffing levels can be challenging due to various factors such as workload fluctuations skill mix and budget constraints.Objective This research aimed to provide a comprehensive assessment of staffing needs in the hospital maintenance department by conducting a workload analysis and applying insights from these studies ultimately contributing to improved operational efficiency and patient care.Methods Data was collected from 03062024 to 09062024 through direct interviews with staff to assess current work processes biometric attendance reports and other relevant sources.Results The study findings indicate that the maintenance departments actual working hours 9.24 hours day exceed the desired working hours 7.5 hoursday resulting in overtime work 1.7-2 hoursday which affects employee well-being productivity and efficiency. …”
    Get full text
    Article
  9. 3249

    Sovereignty and territory of the state in the aspect of the problems of constitutionalism: past and present by V. A. Simonov

    Published 2025-06-01
    “…The subject of the research is issues of sovereignty and territory of the state in the light of the problems of constitutionalism, the transformation of scientists' views on the place and role of the territory of the state among the signs of state sovereignty as the main element of the constitutional system and an inalienable property of the state.The purpose of the study is to determine, based on an analysis of the domestic and international legal political and economic situation, the optimal directions for improving the territorial and political organization of Russia.Dialectical-materialistic, comparative-legal, system-structural methods are used in the research.Main results. …”
    Get full text
    Article
  10. 3250

    Potential strategies for effective utilization of costal cartilage in articular cartilage injury repair by SA Sheleg, AD Kurenkova, ZA Mosina, PS Timashev

    Published 2025-06-01
    “…Background: Joint diseases are one of the leading causes of global disability. Various methods of cartilage repair, including microfracture, mosaic chondroplasty, and autologous chondrocyte transplantation, have been actively studied. …”
    Get full text
    Article
  11. 3251

    Data enrichment for semantic segmentation of point clouds for the generation of geometric-semantic road models by David Crampen, Joerg Blankenbach

    Published 2025-06-01
    “…This workflow is adaptable to various model architectures, from deep learning methods like PointNet++ and PointNeXt to traditional machine learning models such as Random Forest. …”
    Get full text
    Article
  12. 3252

    Estimating reach of social impact products: A model to standardize the calculation of product reach in data-scarce settings by Svenja M Jungjohann, Emily Carnahan, Peiman Milani, Cyril Engmann

    Published 2019-04-01
    “…We propose a novel model to support data-driven decision-making in data and budget-constrained settings and use of routine monitoring to ensure progress towards program outcomes and impact. # Methods We present a complete model to estimate product reach of durable and fast-moving consumer products, which includes required inputs, potential data sources, formulas, trade-offs, and assumptions…”
    Get full text
    Article
  13. 3253

    Population Structure and Size of Early Yekaterinburg (1723-1744) by E. V. Borodina, S. I. Tsemenkova

    Published 2023-12-01
    “…Using quantitative analysis methods and social history approaches, the main social groups of the population were identified and characterized. …”
    Get full text
    Article
  14. 3254

    Improved Hadamard Decomposition and Its Application in Data Compression in New-Type Power Systems by Zhi Ding, Tianyao Ji, Mengshi Li

    Published 2025-02-01
    “…In addition, compared with other existing compression methods, this scheme exhibits remarkable advantages in compression efficiency and reconstruction accuracy, particularly in capturing transient characteristics critical for power quality analysis.…”
    Get full text
    Article
  15. 3255

    A detailed analysis of game statistics of professional tennis players: An inferential and machine learning approach. by Michal Bozděch, Dominik Puda, Pavel Grasgruber

    Published 2024-01-01
    “…Tennis, a widely enjoyed sport, motivates athletes and coaches to optimize training for competitive success. This retrospective predictive study examines anthropometric features and statistics of 1990 tennis players in the 2022 season, using 20,040 data points retrospectively obtained from the ATP official source after the end of the season. …”
    Get full text
    Article
  16. 3256

    Machine learning enables legal risk assessment in internet healthcare using HIPAA data by Shixian Liu, Hailing Liu, Siyu Fan, Leming Song, Zeyu Wang

    Published 2025-08-01
    “…Abstract This study explores how artificial intelligence technologies can enhance the regulatory capacity for legal risks in internet healthcare based on a machine learning (ML) analytical framework and utilizes data from the health insurance portability and accountability act (HIPAA) database. The research methods include data collection and processing, construction and optimization of ML models, and the application of a risk assessment framework. …”
    Get full text
    Article
  17. 3257

    Machine learning for defect condition rating of wall wooden columns in ancient buildings by Yufeng Li, Wu Ouyang, Zhenbo Xin, Houjiang Zhang, Shuqi Sun, Dian Zhang, Wenbo Zhang

    Published 2025-07-01
    “…This study proposes a Machine Learning-based classification method for rating the defect conditions of wooden columns in ancient building walls using Nondestructive Testing data, including defect images, micro-drilling resistance data, and material loss depths. …”
    Get full text
    Article
  18. 3258

    Energy-Efficient Dual-Iteration Power Allocation for Two-Phase Relay System with Massive Antennas by Long Zhao, Wei Xiang, Jie Mei, Hui Zhao, Hang Long, Lin Li

    Published 2014-01-01
    “…Since the EE optimization problem cannot be solved analytically, we propose a two-phase power allocation method. …”
    Get full text
    Article
  19. 3259

    Effect of unilateral and bilateral plyometric training on jumping, sprinting, and change of direction abilities: a meta-analysis by Zhanming Zhang, Wenhao Qu, Wuwen Peng, Jian Sun, Jiyang Yue, Lingju Guan, Min Lu, Duanying Li

    Published 2025-04-01
    “…Abstract Background Plyometric training is a commonly employed method to enhance explosive strength in athletes. …”
    Get full text
    Article
  20. 3260

    Eutetranychus orientalis Klein (oriental spider mite). Phytosanitary risk analysis for Ukraine by L. Titova, Yu. Klechkovskyi, O. Palahina

    Published 2020-03-01
    “…To carry out the analysis of phytosanitary risk for Ukraine of a dangerous quarantine pest Eutetranychus orientalis Klein (oriental spider mite). Research Methods. The main method is information-analytical. …”
    Get full text
    Article