Relevant bibliographies by topics / Abnormal value removing

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Academic literature on the topic 'Abnormal value removing'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Abnormal value removing"

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Wang, Zi, Yu Dong Yang, Jing Liu, Xiao Ping Qu, and Yan Yang Zhou. "Fault Analysis of a Dust-Removing Blower in a Sintering Plant Based on Envelope Analysis." Applied Mechanics and Materials 779 (July 2015): 145–50. http://dx.doi.org/10.4028/www.scientific.net/amm.779.145.

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Dust-removing blower is a key equipment in sintering plants, which can provide enough wind and negative pressure. It can also improve the efficiency of dust-removing. The vibration level of a dust-removing blower in a sintering plant is very high, which is beyond its normal value. Due to the complex working condition and strong background noise, it is difficult to extract fault features from the vibration signal of the dust-removing blower. Therefore, fault analysis of the blower is very difficult. Since the modulation phenomenon existed in the vibration signal of the blower is found, the enve
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Liu, Huashuai, Fan Yang, and Hongchuan Wang. "Research on Threshold Selection Method in Wave Extreme Value Analysis." Water 15, no. 20 (2023): 3648. http://dx.doi.org/10.3390/w15203648.

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Climate change poses higher requirements on ocean engineering design, and reasonable estimation of design wave heights plays a crucial role in coastal protection and offshore engineering. Extreme value analysis is widely used in frequency calculations of wave parameters, among which the peak over threshold method based on the generalized Pareto distribution is proven to be an effective method, and the different selection of extreme wave samples in this method has a great influence on the calculation results. In this study, long-term significant wave height series were utilized to investigate t
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Lee, Ho-Young, Vivek Mande, and Jong Chool Park. "Do Industry Specialist Auditors Add Value in Mergers and Acquisitions?" Journal of Applied Business Research (JABR) 31, no. 4 (2015): 1245. http://dx.doi.org/10.19030/jabr.v31i4.9299.

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This study examines whether the stock market returns surrounding announcements of mergers and acquisitions (M&A) are higher for acquiring firms audited by industry specialists. External auditors are uniquely positioned to provide assurance on the financial statements of their acquiring clients both before and after an acquisition. Also, an important aspect of due diligence in M&A transactions is the external auditors review of the accounting records, financial statements, internal controls and information systems of the target company. Using a sample of 4,283 M&A announcements betw
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Papciak, Dorota, Andżelika Domoń, Alicja Puszkarewicz, and Jadwiga Kaleta. "The Use of Chalcedonite as a Biosorption Bed in the Treatment of Groundwater." Applied Sciences 9, no. 4 (2019): 751. http://dx.doi.org/10.3390/app9040751.

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The conducted laboratory tests allowed determination of the efficiency of removing ammonium nitrogen, iron, and manganese in the biofiltration process on chalcedonite beds. The process of water purification was carried out by a single- and two-stage biofiltration method with gravitational and anti-gravitational flow. The study examined the extent to which chemical activation of the bed with potassium manganese (VII) affects the course of the nitrification process and the rate of biofilm formation. The obtained test results indicate that two-stage biofiltration, with initial chemical activation
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Liang, Yuyan, Qiqi Zhang, and Zhongchao Wang. "Research on traffic signal cycle optimization based on Webster algorithm." Highlights in Science, Engineering and Technology 118 (November 23, 2024): 111–20. http://dx.doi.org/10.54097/nwddhg31.

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This study by combining data cleaning, clustering analysis and signal timing method, Webster to famous scenic town traffic control provides a scientific and efficient solution. By removing the missing license plate numbers and abnormal data in the open source data set, the processed data were visualized and analyzed. The cluster analysis was used to divide the peak period of traffic flow, the statistics of the traffic flow period data, the Webster method was used to optimize the timing of traffic lights, and the service level model was established to analyze the results. It was found that it c
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Morris, Thomas G., Sushmita Lamba, Thomas Fitzgerald, Gary Roulston, Helen Johnstone, and Mehdi Mirzazadeh. "The potential role of the eGFR in differentiating between true and pseudohyperkalaemia." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 57, no. 6 (2020): 444–55. http://dx.doi.org/10.1177/0004563220966858.

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Background Differentiating between true and pseudohyperkalaemia is essential for patient management. The common causes of pseudohyperkalaemia include haemolysis, blood cell dyscrasias and EDTA contamination. One approach to differentiate between them is by checking the renal function, as it is believed that true hyperkalaemia is rare with normal function. This is logical, but there is limited published evidence to support it. The aim of this study was to investigate the potential role of the estimated glomerular filtration rate in differentiating true from pseudohyperkalaemia. Methods GP serum
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Liu, He, Qinghui Zhu, Xiaomeng Xia, Mingwei Li, and Dongyan Huang. "Multi-Feature Optimization Study of Soil Total Nitrogen Content Detection Based on Thermal Cracking and Artificial Olfactory System." Agriculture 12, no. 1 (2021): 37. http://dx.doi.org/10.3390/agriculture12010037.

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To improve the accuracy of detecting soil total nitrogen (STN) content by an artificial olfactory system, this paper proposes a multi-feature optimization method for soil total nitrogen content based on an artificial olfactory system. Ten different metal–oxide semiconductor gas sensors were selected to form a sensor array to collect soil gas and generate response curves. Additionally, six features such as the response area, maximum value, average differential coefficient, standard deviation value, average value, and 15th-second transient value of each sensor response curve were extracted to co
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Hessam, Ghandi, Ghassan Saba, and M. Iyad Alkhayat. "A new approach for detecting violation of data plane integrity in Software Defined Networks." Journal of Computer Security 29, no. 3 (2021): 341–58. http://dx.doi.org/10.3233/jcs-200094.

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The scale of Software Defined Networks (SDN) is expanding rapidly and the demands for security reinforcement are increasing. SDN creates new targets for potential security threats such as the SDN controller and networking devices in the data plane. Violation of data plane integrity might lead to abnormal behaviors of the overall network. In this paper, we propose a new security approach for OpenFlow-based SDN in order to detect violation of switches flow tables integrity and successfully locate the compromised switches online. We cover all aspects of integrity violation including flow rule add
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Su, Jie. "The bright side of supplier concentration: Investor attitudes towards the reopening policy in China." PLOS ONE 19, no. 11 (2024): e0313682. http://dx.doi.org/10.1371/journal.pone.0313682.

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Supplier concentration (SUC) has disadvantage of vulnerability along with cost savings and efficiency. While current scholarship focus on the vulnerability of firms with centralized suppliers during the COVID-19 epidemic, there is no empirical study that explores the impact of post-disaster SUC on firm value as countries removing regional isolation policy. I focus on the impact of COVID-19 reopening policy on investor attitudes towards SUC after the resolution of a supply chain disruption crisis. I try to examine whether investors still perceive SUC as a risk signal or as a positive signal for
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Zhang, Chaowei, Jifu Zhang, Xiao Qin, and Sulan Zhang. "Miner*: A Weighted Distance Sum based Outlier Mining System of Star Spectrum Data." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24, no. 05 (2016): 739–59. http://dx.doi.org/10.1142/s0218488516500331.

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Existing distance-based outlier mining methods do not consider the impact of each attribute's importance degree, thereby resulting in poor mining accuracies. To address this problem, we propose a new outlier mining algorithm – Miner* – that makes use of information entropy and Weighted Distance Sum to substantially improve mining accuracies. Miner* employs information entropy to determine weight values indicating the importance degrees of data attributes. An input dataset is reduced by Miner* through the neighbour-radius-based pruning technologies. Thus, Miner* obtains a candidate outlier set
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Conference papers on the topic "Abnormal value removing"

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Cavalcante, Francisco Pimentel, Felipe Zerwes, Alessandra Borba, Eduardo Millen, and Antonio Frasson. "The use of blue dye alone for sentinel lymph node biopsy after neoadjuvant chemotherapy in patients with initially node-positive breast cancer." In XXVI Brazilian Mastology Congress. Mastology, 2024. https://doi.org/10.29289/259453942024v34s2016.

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Introduction: Sentinel lymph node biopsy (SLNB) is the gold standard for the evaluation of the axilla in upfront surgery for non-metastatic breast cancer, with a similar recurrence rate and lower morbidity compared to axillary dissection, despite a false-negative rate of around 10%. In patients who underwent neoadjuvant chemotherapy (NACT) and who had initially negative axilla (cN0), the false-negative rate is similar to that found with upfront surgery. Conversely, in patients with non-metastatic breast cancer and initially positive axilla at first presentation (cN1/2) and who achieved complet
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