Showing 521 - 540 results of 546 for search '"performance evaluation"', query time: 0.08s Refine Results
  1. 521

    Experimental Results of Novel DoA Estimation Algorithms for Compact Reconfigurable Antennas by Henna Paaso, Aki Hakkarainen, Nikhil Gulati, Damiano Patron, Kapil R. Dandekar, Mikko Valkama, Aarne Mämmelä

    Published 2017-01-01
    “…In addition, we evaluate the performance of the APPR and MUSIC algorithms with numerical simulations as well as with real world indoor measurements having both line-of-sight and non-line-of-sight components. Our performance evaluations show that the DoA estimates are in a considerably good agreement with the real DoAs, especially with the APPR algorithm. …”
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  2. 522

    Machine learning-enhanced gesture recognition through impedance signal analysis by Huynh Hoang Nhut, Diep Quoc Tuan Nguyen, Dinh Minh Quan Cao, Tran Anh Tu, Dang Nguyen Chau, Phan Thien Luan, Tran Trung Nghia, Ching Congo Tak Shing

    Published 2024-06-01
    “…The machine learning model using the K-Nearest Neighbors (KNN), Gradient Boosting Machine (GBM), Naive Bayes (NB), Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM) algorithms demonstrated notable precision in performance evaluations. The individual accuracy values for each algorithm are as follows: KNN, 86%; GBM, 86%; NB, 84%; LR, 89%; RF, 87%; and SVM, 87%. …”
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  3. 523

    Critical evaluation of accident tolerant fuel selection criteria for APR-1400 nuclear reactors by Mohammad Alrwashdeh, Asma Alzarooni, Khurrum Saleem Chaudri, Maithah Alaleeli, K. Karuppasamy, Andreas Schiffer, Imran Afgan, Daniel Choi, Saeed A. Alameri

    Published 2025-12-01
    “…In order to accomplish this objective, comprehensive review and assessments of the potential ATFs, including neutronics, thermal-hydraulic, thermomechanical/chemical, and fuel performance evaluations, were conducted, encompassing multiple candidate ATF concepts. …”
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  4. 524

    Enhanced Detection of Viable <i>Escherichia coli</i> O157:H7 in Romaine Lettuce Wash Water Using On-Filter Propidium Monoazide-Quantitative PCR by Zhao Chen

    Published 2024-12-01
    “…The limit of detection (LOD) was 1.3 CFU/mL, confirming its suitability for detecting low bacterial loads. Performance evaluations revealed that PMA-qPCR was accurate at viable-to-dead cell ratios of 1:10 or higher but became less reliable when dead cells outnumbered viable cells by a factor of 10 or more. …”
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  5. 525

    An Investigation of Soil Profile Depth Change on Site Response Analysis by Fatma İlknur KARA, Barış Şahin

    Published 2022-01-01
    “…The paper concludes that, for the soil profile addressed in this study, the derived design spectrum related to soil type ZE- regardless of the depth change - is conservative for all periods except the high rise buildings as well as the buildings that do not require advanced performance evaluations such as new designed reinforced concrete buildings, precast concrete buildings and steel buildings.…”
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  6. 526

    Simplified Target Strength Analysis Procedure of an Underwater Vehicle Considering Target Strength Absorbing Materials by Jangwoo Kim, Jaeman Kim, Joo-Yeob Lee, Dae-Seung Cho, Sung-Ju Park, Kyungjun Song, Yun-ho Shin, Kookhyun Kim

    Published 2025-01-01
    “…From the observed results, it is concluded that the transfer matrix method is more suitable for practical TS analysis than the 4-microphone method because of the relatively low calculation and time costs required for the acoustic performance evaluations of TSAMs. In addition, a simplified TS analysis procedure considering the echo reduction (ER) and transmission loss (TL) is proposed based on the combining method of physical optics and geometric optics (PO/GO combined method) and equivalent material properties. …”
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  7. 527

    Multi-Timescale Modeling Framework of Hybrid Power Plants Providing Secondary Frequency Regulation by Yuxin Deng, Xin Fang, Ningchao Gao, Jin Tan

    Published 2024-01-01
    “…Additionally, the framework facilitates comprehensive economic and frequency performance evaluations. Case studies on a modified IEEE 39-bus system demonstrate the framework&#x2019;s ability to ensure frequency performance with flexible HPP operation modes, align BESS state-of-charge (SOC) with dispatch targets, and optimize reliability and economic outcomes under various scenarios.…”
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  8. 528

    A Review of Caveats in Statistical Nuclear Image Analysis by Helene Schulerud, Gunner B. Kristensen, Knut Liestøl, Liljana Vlatkovic, Albrecht Reith, Fritz Albregtsen, Hàvard E. Danielsen

    Published 1998-01-01
    “…We suggest that a consensus of how to perform evaluation of diagnostic and prognostic features is necessary, in order to develop reliable tools for clinical use, based on nuclear image analysis.…”
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  9. 529

    Performance of Quantum Annealing Machine Learning Classification Models on ADMET Datasets by Hadi Salloum, Kamil Sabbagh, Vladislav Savchuk, Ruslan Lukin, Osama Orabi, Marat Isangulov, Manuel Mazzara

    Published 2025-01-01
    “…However, the application of quantum annealing in machine learning remains limited due to the lack of conclusive performance evaluations on real-world datasets. There is still no clear consensus on the efficacy of these models in practical scenarios. …”
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  10. 530
  11. 531

    AIPerf: Automated Machine Learning as an AI-HPC Benchmark by Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen

    Published 2021-09-01
    “…We utilize Operations Per Second (OPS), which is measured in an analytical and systematic approach, as a major metric to quantify the AI performance. We perform evaluations on various systems to ensure the benchmark’s stability and scalability, from 4 nodes with 32 NVIDIA Tesla T4 (56.1 Tera-OPS measured) up to 512 nodes with 4096 Huawei Ascend 910 (194.53 Peta-OPS measured), and the results show near-linear weak scalability. …”
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  12. 532

    Evolving prognostic paradigms in lung adenocarcinoma with brain metastases: a web-based predictive model enhanced by machine learning by Min Liang, Zhiwen Zhang, Langming Wu, Mafeng Chen, Shifan Tan, Jian Huang

    Published 2025-02-01
    “…Predictive models were built using Random Forest, XGBoost, Decision Trees, and Artificial Neural Networks, with their performance evaluated via metrics including the area under the receiver operating characteristic curve (AUC), calibration plots, brier score, and decision curve analysis (DCA). …”
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  13. 533

    Preamble Design and Noncoherent ToA Estimation for Pulse-Based Wireless Networks-on-Chip Communications in the Terahertz Band by Pankaj Singh, Sung-Yoon Jung

    Published 2025-01-01
    “…A preamble design based on maximum pulse energy constraints is also presented. Performance evaluations demonstrate a synchronization probability exceeding <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.98</mn></mrow></semantics></math></inline-formula> for distances under 10 mm at a signal-to-noise ratio of 20 dB, with a normalized mean squared error below <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mrow><mo>−</mo><mn>2</mn></mrow></msup></semantics></math></inline-formula>. …”
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  14. 534

    FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs by Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp

    Published 2025-01-01
    “…The outputs from the performance evaluations on Xilinx PYNQ Z1 development board proved the superiority of FPGA-QNN in terms of resource utilization and energy efficiency in comparison to several recent approaches. …”
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  15. 535

    Striking the Balance: Evaluating Content Quality and Reward Dynamics in Blockchain Online Social Media by Davide Mancino, Barbara Guidi, Andrea Michienzi, Marco Viviani

    Published 2025-01-01
    “…By exploiting Steemit, one of the most well-known decentralized social media platforms based on blockchain, we construct a labeled dataset to both train and evaluate distinct configurations of the different feature sets in association with the considered classifiers. The performed evaluation shows the effectiveness of some of these configurations in identifying reward-worthy content, demonstrates that current reward systems are indeed unable through their mechanisms to promote actual quality content, and suggests the need for the development of further reward strategies allowing for better reward distribution and, ultimately, help pursue the original purpose of reward systems.…”
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  16. 536

    Flexible Threshold Quantum Homomorphic Encryption on Quantum Networks by Yongli Tang, Menghao Guo, Binyong Li, Kaixin Geng, Jinxia Yu, Baodong Qin

    Published 2024-12-01
    “…In this paper, we propose a novel <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>t</mi><mo>,</mo><mspace width="4.pt"></mspace><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula>-threshold QHE (TQHE) network scheme based on the Shamir secret sharing protocol, which allows <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mspace width="4.pt"></mspace><mo>(</mo><mi>t</mi><mo>≤</mo><mi>k</mi><mo>≤</mo><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula> evaluators to collaboratively perform evaluation computation operations on each qubit within the shared encrypted sequence. …”
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  17. 537

    Performances and determinants of proficiency testing in clinical laboratory services at comprehensive specialized hospitals, northwest Ethiopia by Negesse Cherie, Teshiwal Deress, Maereg Wolde, Bisrat Birke Teketelew, Mebratu Tamir, Abiy Ayele Angelo, Amare Mekuanint Terekegne, Elias Chane, Mesele Nigus, Dereje Mengesha Berta, Kasaw Adane

    Published 2024-04-01
    “…Abstract Proficiency testing (PT) is an impartial laboratory performance-evaluating system using an independent body. It is a mandatory accreditation requirement and means for improving the laboratory’s performance. …”
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  18. 538

    Study on influencing factors of age-adjusted Charlson comorbidity index in patients with Alzheimer's disease based on machine learning model by Jian Ding, Jian Ding, Zheng Long, Yiming Liu, Min Wang

    Published 2025-01-01
    “…By comparing model performance, evaluating the classification ability and prediction accuracy of each method, and ultimately selecting the best model to construct a regression model and a nomogram. …”
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  19. 539
  20. 540

    NeuTox 2.0: A hybrid deep learning architecture for screening potential neurotoxicity of chemicals based on multimodal feature fusion by Xudi Pang, Xuejun He, Ying Yang, Ling Wang, Yuzhen Sun, Huiming Cao, Yong Liang

    Published 2025-01-01
    “…Comprehensive performance evaluations demonstrated that NeuTox 2.0 has relatively higher predictive capability across all statistical metrics. …”
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