Showing 561 - 580 results of 1,217 for search 'generated different evaluation optimization', query time: 0.17s Refine Results
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    Design and Evaluation of Real-Time Data Storage and Signal Processing in a Long-Range Distributed Acoustic Sensing (DAS) Using Cloud-Based Services by Abdusomad Nur, Yonas Muanenda

    Published 2024-09-01
    “…We employ the DynamoDB functionality of Amazon Web Services (AWS), which allows highly expandable storage capacity with latency of access of a few tens of milliseconds. The different stages of DAS data handling are performed in a pipeline, and the scheme is optimized for high overall throughput with reduced latency suitable for concurrent, real-time event extraction as well as the minimal storage of raw and intermediate data. …”
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  4. 564

    Optimizing cloud optical parameterizations in Radiative Transfer for TOVS (RTTOV v12.3) for data assimilation of satellite visible reflectance data: an assessment using observed an... by Y. Zhou, T. Cao, L. Zhu

    Published 2025-07-01
    “…However, the wide choice of cloud optical parameterizations (COPs) in RTTOV poses challenges in discerning the optimal configuration. In this study, the performance of different COPs was evaluated by comparing the observed and synthetic visible satellite images. …”
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  5. 565

    The Equal-Time Waypoint Method: A Multi-AUV Path Planning Approach That Is Based on Velocity Variation by Chenxin Yin, Kai Shi, Hailong Wang

    Published 2025-04-01
    “…The approach involves randomly selecting equal-time waypoints in free space and generating path encoding sequences for each AUV. These path encodings are then optimized through four modules, considering both path smoothness and adaptability to ocean currents. …”
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  6. 566

    Application analysis of radiomics models based on high-resolution T2-weighted MR images for evaluating the effectiveness of neoadjuvant chemoradiotherapy in locally advanced rectal... by Liu Minglu, Shen Fu, Wang Hao, Chen Qi, Lu Jianping

    Published 2024-04-01
    “…The Delong test also showed that subjective evaluations of SSS was significantly different from Model 1 and Model 2, with P values less than 0.05, and the NRI for subjective evaluations of SSS compared with Model 1 and Model 2 was negative. …”
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  7. 567

    MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics by Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem

    Published 2024-01-01
    “…To assess MOBCSA’s performance, evaluation experiments were conducted on six benchmark biomedical datasets using three different classifiers. …”
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  8. 568

    Identification of Nanoparticle Agglomeration in Polymer Plates Reinforced with Carbon Nanotubes by Use of Active Thermography and Deep Learning-Based Image Processing by Mazharul Islam, Raihan Sarker

    Published 2025-06-01
    “…An eight-layer DCNN framework was implemented using three different window sizes of 41×41, 51×51, and 61×61 pixels, which was trained using 175,598 segments of images, of which 85% was made available for training, while 15% was used for evaluation. …”
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  9. 569

    The analysis of interactive furniture design system based on artificial intelligence by Xiaohong Jiang

    Published 2025-08-01
    “…The Kano model is used to evaluate the interactive features of the furniture. …”
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  10. 570

    Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems: new insights from global sensitivity analyses by Luka Tas, Niels Hartog, Martin Bloemendal, David Simpson, Tanguy Robert, Robin Thibaut, Le Zhang, Thomas Hermans

    Published 2025-01-01
    “…Commonly applied strategies to decide upon the ATES feasibility and well design standards for optimization need to be adapted. To further promote the use of ATES in such less favorable aquifers an efficient and systematic methodology evaluating the optimal conditions, while not neglecting uncertainty, is crucial. …”
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    Investigating fungal diversity through metabarcoding for environmental samples: assessment of ITS1 and ITS2 Illumina sequencing using multiple defined mock communities with differe... by Raf Winand, Elizabet D’hooge, Alexander Van Uffelen, Bert Bogaerts, Julien Van Braekel, Stefan Hoffman, Nancy H. C. J. Roosens, Pierre Becker, Sigrid C. J. De Keersmaecker, Kevin Vanneste

    Published 2025-08-01
    “…Classification performance was first evaluated using ITS1 and ITS2 sequences of all species in the DMCs, generated by Sanger sequencing, to evaluate the discriminatory power of ITS and set a baseline for subsequent comparison with Illumina sequencing. …”
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    MODIFICATION OF STUDENT ASSESSMENT CRITERIA AS A CONDITION OF MOTIVATION INCREASING FOR PHYSICAL EDUCATION LESSONS by E. M. Revenko

    Published 2016-01-01
    “…The obligatory accounting of specific features of age development is necessary for optimization of the organization of physical training.Methods. …”
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  18. 578

    Development of Recurrent Neural Networks for Thermal/Electrical Analysis of Non-Residential Buildings Based on Energy Consumptions Data by Elisa Belloni, Flavia Forconi, Gabriele Maria Lozito, Martina Palermo, Michele Quercio, Francesco Riganti Fulginei

    Published 2025-06-01
    “…Consumptions trends for a building are generated using the EnergyPlus™ dynamic simulation software over a timespan of a year in different locations, and the data are then used to train neural network models. …”
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    Techno-Economic Operation and Environmental Life-Cycle Assessment of a Solar PV-Driven Islanded Microgrid by M. A. Parvez Mahmud, Nazmul Huda, Shahjadi Hisan Farjana, Candace Lang

    Published 2019-01-01
    “…Microgrids (MGs) are playing an important role in the maximum utilization of distributed energy resources. The optimal economic operation and low-carbon electricity generation can enhance MGs effectiveness. …”
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    Spatiotemporal Land Use Change Detection Through Automated Sampling and Multi-Feature Composite Analysis: A Case Study of the Ebinur Lake Basin by Yi Yang, Liang Zhao, Ya Guo, Shihua Liu, Xiang Qin, Yixiao Li, Xiaoqiong Jiang

    Published 2025-07-01
    “…This study proposes an innovative technical framework that integrates automated sample generation, multi-feature optimization, and classification model refinement to enhance the accuracy of land use classification and enable detailed spatiotemporal analysis in the Ebinur Lake Basin. …”
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