Showing 3,681 - 3,700 results of 4,920 for search 'sources optimization (method OR methods)', query time: 0.22s Refine Results
  1. 3681

    Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning by Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong, Xiang Zhang, Conghui He, Haohuan Fu

    Published 2025-03-01
    “…In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition, which effectively uses multi-source geoinformation data to achieve accurate function recognition in both single-city and cross-city scenarios. …”
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  2. 3682

    Performance Efficiency of an Energy-Saving Mini Dryer with a Combined Heat Supply System by Umudvar R. Gasanov, Sevil A. Magerramova

    Published 2018-12-01
    “…In the first variant, the drying process was carried out only by the conductive method using the heat from a traditional energy source. …”
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  3. 3683

    Unmanned Aerial Geophysical Remote Sensing: A Systematic Review by Farzaneh Dadrass Javan, Farhad Samadzadegan, Ahmad Toosi, Mark van der Meijde

    Published 2024-12-01
    “…However, implementing geophysical methods on UAVs poses challenges, prompting ongoing research and development efforts worldwide to find optimal solutions from both hardware and software perspectives.…”
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  4. 3684

    Comparison of Omega-3 polyunsaturated fatty acids bioavailability in fish oil and krill oil: Network Meta-analyses by Thi-Phuong-Thao Pham, Thi-Van Hoang, Phuc-Thao-Nguyen Cao, Thi-Thuy-Duong Le, Van-Thao-Nguyen Ho, Thi-Mai-Hoa Vu, Thi-Hoai-Thu Le, Huynh-Thien-Xuan Pham, Thanh-Thien Tran, Okti Ratna Mafruhah, Thi-Thuy-Linh Pham, Min-Tsang Hsieh, Hai-Anh Ha

    Published 2024-12-01
    “…By evaluating various molecular forms and dosages, the study seeks to identify the most effective Omega-3 sources and dosing regimens to maximize health benefits.Methods: The study adhered to the explanation of the PRISMA network meta-analysis 2015 (registered PROSPERO ID: CRD42024532536). …”
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  5. 3685

    Emission Characteristics of Concrete Mixer Trucks Under Real-world Operating Conditions by Xinbo SHI, Yao CHEN, Jin LI, Peixuan LI, Zihang ZHOU, Bin WANG, Xue CHEN

    Published 2025-03-01
    “…Therefore, conducting emission studies based on real-world conditions is essential for analyzing emission variations under different operating scenarios and for effectively controlling emissions from mobile sources.Methods This study selected concrete mixer trucks with high activity levels and representative operating areas in Chengdu to investigate the real emission characteristics of these vehicles during actual task processes. …”
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  6. 3686
  7. 3687

    Application and prospect of artificial intelligence in empowering the operation and managment of oil and gas pipelines by Qi LIAO, Chunying LIU, Jian DU, Hao LAN, Yongtu LIANG, Haoran ZHANG

    Published 2024-06-01
    “…Conclusion Amidst the emerging wave of advancing AI technologies, the pursuit of smart operation of oil and gas pipelines mandates further explorations, including bolstering the application of various methods to integrate vast multi-source heterogeneous data, deepening research on few-shot and zero-shot learning techniques, advocating the convergence of augmented intelligence and artificial intelligence, refining the amalgamation of causal inference and machine learning, and concentrating on life-cycle management anchored in digital twin technology. …”
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  8. 3688

    Study of the Effects of Hardfacing Modes Carried out by FCAW-S with Exothermic Addition of MnO<sub>2</sub>-Al on Non-Metallic Inclusions, Grain Size, Microstructure and Mechanical... by Bohdan Trembach, Illia Trembach, Aleksandr Grin, Nataliia Makarenko, Olha Babych, Sergey Knyazev, Yuliia Musairova, Michal Krbata, Oleksii Balenko, Oleh Vorobiov, Anatoliy Panchenko

    Published 2025-06-01
    “…At the first stage, it is proposed to use the Taguchi plan (L9) method to find the most significant variables. At the second stage, for the development of a mathematical model and optimization, a factorial design is recommended. …”
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  9. 3689
  10. 3690

    Hybrid thermoelectric generator system for enhanced waste heat recovery from diesel generators using HVAC condenser airflow by Chadi Nohra, Rassol Hamed Rasheed, Ahmed Mohsin Alsayah, Mohammed J. Alshukri, Jalal Faraj, Samer Ali, Mahmoud Khaled

    Published 2025-01-01
    “…The suggested system presents a new architecture that makes simultaneous use of condenser air and diesel exhaust, two easily accessible but infrequently coupled thermal sources and sinks. Compared to conventional setups, this method greatly increases TEG efficiency by taking advantage of high temperature differentials and passive sink flow. …”
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  11. 3691

    Pulsed electric field processing of edible insect slurries induces thermally-assisted microbial inactivation by L.J.H. Sweers, M. Mishyna, L.M. Ahrné, R.M. Boom, V. Fogliano, T. Patra, C.M.M. Lakemond, J.K. Keppler

    Published 2025-01-01
    “…Insect-based food ingredients are emerging as sustainable protein sources, but their production requires ensuring microbial safety and inactivation of endogenous enzymes to avoid undesirable proteolysis, without compromising protein structure. …”
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  12. 3692

    TiO<sub>2</sub> Nanorod Array for Betavoltaic Cells: Performance Validation and Enhancement with Electron Beam and <sup>63</sup>Ni Irradiations by Sijie Li, Tongxin Jiang, Yu Cao, Wendi Zhao, Haisheng San, Xue Li, Lifeng Zhang, Xin Li

    Published 2025-06-01
    “…The performance evaluation employed both electron beam (2.36 × 10<sup>9</sup> e/cm<sup>2</sup>·s) and <sup>63</sup>Ni (3.4 mCi/cm<sup>2</sup>) irradiation methods. The simulation results revealed optimal energy deposition characteristics, with ~96% of β-particle energy effectively absorbed within the 2 μm thick FTO/TNRA/NiO<sub>x</sub>/Au structure. …”
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  13. 3693

    Research on green supply chain finance risk identification based on two-stage deep learning by Ying Liu, Sizhe Li, Chunmei Yu, Mingli Lv

    Published 2024-12-01
    “…Compared with traditional deep learning methods, the proposed two-stage deep integration model effectively reduces training loss and exhibits superiority in identifying green supply chain finance risks.…”
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  14. 3694

    Simulation and Numerical Analysis of Energy-and-Ecological Compatibility of Indoor Plant Lighting by S. A. Rakutko, E. N. Rakutko

    Published 2019-07-01
    “…(Research purpose) Development of a simulation and analysis technique of energy-and-ecological compatibility of indoor plant lighting. (Materials and methods) The authors experimentally verifi ed the proposed technique for the indoor plant lighting of tomato seedlings grown under laboratory conditions with controlled environmental parameters. …”
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  15. 3695

    Community surveillance and response to maternal and child deaths in low- and middle-income countries: A scoping review. by Tariro J Basera, Kathrin Schmitz, Jessica Price, Merlin Willcox, Edna N Bosire, Ademola Ajuwon, Marjorie Mbule, Agnes Ronan, Fiona Burtt, Esca Scheepers, Jude Igumbor

    Published 2021-01-01
    “…This study aims to review how community-based maternal and child death reporting, investigation and review processes are carried out in LMICs.<h4>Methods</h4>We conducted a scoping review of the literature published in English from January 2013 to November 2020, searching PubMed, EMBASE, PsycINFO, Joanna Briggs, The Cochrane Library, EBM reviews, Scopus, and Web of Science databases. …”
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  16. 3696

    Epidemiological trends of influenza A and B in one hospital in Chengdu and national surveillance data (2019–2024) by Xiang Li, Chenlijie Yang, Lu Chen, Jian Ma, Zhongliang Hu

    Published 2025-06-01
    “…Understanding their epidemiological trends is essential for optimizing prevention and control strategies.ObjectiveThis study aims to analyze the epidemiological trends of Flu A and Flu B, compare hospital-based and national surveillance data, and evaluate the impact of COVID-19 on influenza transmission to provide scientific evidence for influenza control measures.MethodsWe analyzed influenza positivity rates from Sichuan Jinxin Xinan Women and Children Hospital data (HD) and Chinese National Influenza Center (CNIC) between 2019 and 2024. …”
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  17. 3697

    Investigating the hatchability and nauplii biometry of Artemia franciscana in unconventional waters of Sistan region, Southeast Iran by Hashem Khandan Barani, Abdolali Rahdari, Narjes Sanchooli, Ali Khosravanizadeh

    Published 2024-03-01
    “…Introduction: Nowadays, using unconventional water, especially in arid and semi-arid areas, has increased as a result of global population increase, urbanization and climate change. Using these water sources for aquaculture is suggested for optimal utilization and reduction of their adverse effects on the environment. …”
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  18. 3698

    Progress and prospect of blue food research: Analysis based on “Web of Science” literature by ZHANG Yu, LIU Jiaming, ZHU He, ZHANG Jinhe, TIAN Qing, WANG Mengfan

    Published 2024-11-01
    “…By comprehensively sorting out the development context and research trends of blue food, its hot topics and future development direction can be further summarized. [Methods] Based on the “Web of Science Core Collection (1985-2023)” as the data source, this study analyzed the relevant research results of blue food based on CiteSpace software, and discussed the research framework and future key issues of blue food from the perspective of geography. …”
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  19. 3699

    Environmental Assessment of Cellulose Pulp Production from Wood Waste using Organosolv Treatment by Pazzaglia Aron, Romagnoli Francesco, Castellani Beatrice

    Published 2024-01-01
    “…The increasing demand for sustainable materials has prompted exploration into alternative methods for cellulose pulp production, with a focus on minimizing environmental footprint. …”
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    Article
  20. 3700

    Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning by Johan Helleberg, Anna Sundelin, Johan Mårtensson, Olav Rooyackers, Ragnar Thobaben

    Published 2025-07-01
    “…Our study aimed to employ supervised machine learning to accurately identify blood gas samples as arterial or venous using PDMS data. Methods A retrospective, single-center observational cohort study including all blood gases during 2018 from a Swedish, pediatric and adult general ICU. …”
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