Showing 6,501 - 6,520 results of 7,314 for search 'operating average', query time: 0.13s Refine Results
  1. 6501

    Solving 0-1 Knapsack and Bin Packing Problem Using Logical Social Group Optimization by Rhiddhi Prasad Das, Junali Jasmine Jena, Suresh Chandra Satapathy, Naeem M. S. Hannoon

    Published 2025-01-01
    “…In LSGO, after the binarization by replacing the arithmetic operators with logical operators, one of the variables gets cancelled out. …”
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  2. 6502

    In-Situ Determination of Buildings’ Thermo- Physical Characteristics by Arash Rasooli

    Published 2020-06-01
    “…Despite the advantages of the existing standard method, “ISO 9869 Average Method” for measuring this parameter, two problems have been pointed out: long duration and imprecision. …”
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  3. 6503

    Brightening the path to safe liver transplants: the role of ICG fluorescence in biliary anastomosis by Laura Vidal, Martín Huerta, Mar Dalmau, Nair Fernandes, Cristina Dopazo, Mireia Caralt, Ramón Charco, Itxarone Bilbao, Concepción Gómez-Gavara

    Published 2025-06-01
    “…The use of ICG fluorescence added an average of 3–5 min to the operative time. No biliary complications were reported during follow-up, and patient survival was 100%.Conclusions ICG fluorescence provides a valuable, objective tool for assessing bile duct vascularization during LT, potentially reducing biliary complications. …”
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  4. 6504

    A Life-Cycle Carbon Reduction Optimization Framework for Production Activity Systems: A Case Study on a University Campus by Xiangze Wang, Jingqi Deng, Tingting Hu, Dungang Gu, Rui Liu, Guanghui Li, Nan Zhang, Jiaqi Lu

    Published 2025-05-01
    “…Seasonal analysis revealed that June and December exhibited the highest energy consumption, with emissions exceeding the monthly average by 19.4% and 48.6%, respectively, due to energy-intensive air conditioning demand. …”
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  5. 6505
  6. 6506

    Relationship between continuous or discontinuous of controlling factors and landslide susceptibility in the high-cold mountainous areas, China by Heping Shu, Shi Qi, Xingrong Liu, Xianxian Shao, Xingkun Wang, Dongyuan Sun, Sangjie Yang, Jiale He

    Published 2025-03-01
    “…The results showed that the LS accuracy of ALSA consistently outperformed that of other methods across different factor combinations. The average accuracy of CIV, ALSA, and RF were 0.870, 0.923, and 0.894, respectively. …”
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  7. 6507

    Impact of ion cyclotron range of frequencies wave induced localized fields on electron dynamics in EAST’s scrape-off layer by Zechen Wang, Nong Xiang, Chunyun Gan, Gen Li, Hailong Lu, Ge Zhuang

    Published 2025-01-01
    “…This study will qualitatively assess the impact of localized fields on electron acceleration and parameter dependence across various ICRF power levels, offering insights for controlling ICRF operation parameters in future fusion reactors.…”
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  8. 6508

    SPCB-Net: A Multi-Scale Skin Cancer Image Identification Network Using Self-Interactive Attention Pyramid and Cross-Layer Bilinear-Trilinear Pooling by Xin Qian, Tengfei Weng, Qi Han, Chen Wu, Hongxiang Xu, Mingyang Hou, Zicheng Qiu, Baoping Zhou, Xianqiang Gao

    Published 2024-01-01
    “…This paper proposes a multi-scale skin cancer image identification network using self-interactive attention pyramid and cross-layer bilinear-trilinear pooling(SPCB-Net), which mainly consists of three proposed sub-modules that are the self-interacting attention pyramid (SAP), the across-layer bilinear-trilinear pooling operation and the global average algorithm(GAA). The SPCB-Net is applied to two representative datasets of medical images in dermatology and histopathology (HAM10000 and NCT-CRC-HE-100K) to demonstrate the effectiveness of in the skin lesion classification. …”
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  9. 6509

    Perceptions of ICU Care Following Do-Not-Resuscitate Orders: A Military Perspective by Sydney E. Dishman, BS, Kathryn E. Driggers, MD, Laura S. Johnson, MD, FACS, Cara H. Olsen, MS, DrPH, Andrea B. Ryan, RN, MSN, Melissa M. McLawhorn, RN, BSN, Kevin K. Chung, MD, FCCM

    Published 2020-07-01
    “…Exploratory factor analysis was used to categorically group survey questions, and average factor scores were compared between respondent groups using t tests. …”
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  10. 6510

    A novel method to predict white blood cells after kidney transplantation based on machine learning by Songping He, Xiangxi Li, Zunyuan Zhao, Bin Li, Xin Tan, Hui Guo, Yanyan Chen, Xia Lu

    Published 2024-10-01
    “…Least absolute shrinkage and selection operator algorithm was used for correlation analysis of 85 candidate variables, and the top 20 variables were retained in the end. …”
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  11. 6511

    Assessing the effectiveness of small vessel pollution control regulation on water quality in the Yangtze River by Kaile Jiang, Shuangbo Liang, Fuping Wang

    Published 2025-01-01
    “…The results show significant drops in the permanganate index (CODMn), ammonia nitrogen (NH _3 -N), and total phosphorus (TP) within three weeks before the regulation took effect, mainly due to early actions by authorities and ship operators. T-tests reveal average decreases of 29.9%, 36.6%, 49.1%, and 9.7% for CODMn, NH _3 -N, TP, and total nitrogen (TN) in the first five weeks after implementation. …”
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  12. 6512

    Analysis of the Relationship Between Assimilate Production and Allocation and the Formation of Rice Quality by Jianming Tu, Fengting Wen, Feitong Li, Tingting Chen, Baohua Feng, Jie Xiong, Guanfu Fu, Yebo Qin, Wenting Wang

    Published 2025-05-01
    “…Using a membership function comprehensive evaluation method (combines the outputs of multiple membership functions into a single composite value using specific rules (e.g., weighted average, extremum, logical operations) to produce a new membership degree.), a rice variety selection system balancing yield and quality was constructed, and three varieties (Zhongzheyou 8, Huazheyou 261, and Quanyousimiao) were identified as having both high yield and excellent quality. …”
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  13. 6513

    Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

    Published 2025-04-01
    “…On the particleboard defect dataset with limited images, PPOBoardNet achieves a mean average precision (mAP) of 79.0%, representing a 5.3% performance improvement over the YOLO series of optimal detection models. …”
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  14. 6514

    A Multi-Task Based Deep Learning Framework With Landmark Detection for MRI Couinaud Segmentation by Dong Miao, Ying Zhao, Xue Ren, Meng Dou, Yu Yao, Yiran Xu, Yingchao Cui, Ailian Liu

    Published 2024-01-01
    “…Our model achieved an average Dice Similarity Coefficient (DSC) of 85.29%, surpassing the next best-performing models by 3.12%.Our research presents a pioneering automated approach for segmenting Couinaud segments using CE-MRI. …”
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  15. 6515
  16. 6516
  17. 6517

    Wearable peripheral nerve stimulator reduces essential tremor symptoms through targeted brain modulation by Cuong P. Luu, Jordan Ranum, Youngwon Youn, Jennifer L. Perrault, Bryan M. Krause, Matthew I. Banks, Laura Buyan-Dent, Kip A. Ludwig, Wendell B. Lake, Aaron J. Suminski

    Published 2025-07-01
    “…Methods: Employing refractory pure ET patients seeking VIM deep brain stimulation (DBS), we quantified clinical tremor improvement following TAPS treatment in a pre-operative setting, followed by intra-operative microelectrode recording of the contralateral thalamus with concurrent TAPS treatment on and off. …”
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  18. 6518

    The International Tax Competitiveness: Bibliometric Analysis by Oleksiy Mazurenko, Inna Tiutiunyk

    Published 2021-03-01
    “…The results of trend analysis of scientific publications on tax competitiveness, indexed by Scopus and Web of Science scientometric databases, show a gradual increase in the relevance of these issues. The average growth rate of the number of publications on tax competitiveness in the Scopus database exceeds 12%, and in the Web of Science database – 45%. …”
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  19. 6519
  20. 6520

    Cervical cancer prediction using machine learning models based on routine blood analysis by Jie Su, Hui Lu, Ruihuan Zhang, Na Cui, Chao Chen, Qin Si, Biao Song

    Published 2025-07-01
    “…Using least absolute shrinkage and selection operator (LASSO) and the random forest method (RF) method, 15 key routine blood features were ultimtely selected from an initial set of 23 features for model training. …”
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