Academic literature on the topic 'Percentage error (PE)'

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Journal articles on the topic "Percentage error (PE)"

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Imam, SMN, and D. Takahashi. "Nature of errors in percentage syllable articulation as an effect of reverberation time on Bangla." Bangladesh Journal of Scientific and Industrial Research 52, no. 1 (2017): 21–30. http://dx.doi.org/10.3329/bjsir.v52i1.32067.

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This paper identifies the nature of errors in the Percentage Syllable Articulation (PSA) test for Bangla, as a continuation and extension of a study conducted and published by the authors to determine the effects of Reverberation Time (RT) on Bangla. Errors due to RT 2.0 s are enumerated to derive Percent Error (PE) at initial, medial and final positions of phonemes in syllables, for both vowels and consonants. It is found that consonants are more vulnerable to errors than vowels, as their mean PEs are 37.8% and 27.6% respectively. Relative positions of phonemes in syllables have significant e
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Lee, Yunjin, Mee Kum Kim, Joo Youn Oh, Hyuk Jin Choi, and Chang Ho Yoon. "Intraocular lens power calculation in eyes with a shallow anterior chamber depth and normal axial length." PLOS ONE 18, no. 7 (2023): e0288554. http://dx.doi.org/10.1371/journal.pone.0288554.

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We compared the accuracy of three intraocular lens (IOL) calculation formulas in eyes with a shallow anterior chamber depth (ACD) and normal axial length (AXL) and control eyes. We retrospectively reviewed eyes with a shallow ACD (<2.5 mm from the corneal epithelium) with normal AXL (22.5≤AXL<24.0 mm) and controls (3.0≤ACD<3.5 mm and normal AXL). Prediction error (PE) and median absolute error (MedAE) were evaluated with SRK/T, Barrett Universal II (BUII), and Kane formulas after adjusting the mean PE to zero for all patients. Percentages of eyes achieving a PE within 0.25 to 1.00 D,
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Hariri, Fajar Rohman, and Johan Ericka Wahyu Prakasa. "Chicken Menu Sales Forecasting System using Multiplicative Holt-Winters Triple Exponential Smoothing." MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) 15, no. 1 (2023): 8–14. http://dx.doi.org/10.18860/mat.v15i1.21103.

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Forecasting is an art and a science predict events that will occur in the future based on data in the past. The ability of the restaurant in Management shows success in taking advantage of business opportunities optimal for interpreting past performance and planning for the future. This research uses Triple HoltWinters Exponential Smoothing Multiplicative method for sales forecasting. Multiplicative Holt-Winters Triple Exponential Smoothing Method has the smallest percentage error (PE) of 9.946% with parameter values (α=0.1, β=0.1, ϒ=0.3). While the largest percentage error (PE) is obtained Mu
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Alhaji Barde, Mustapha, Noor Diyana Osman, Mohd Amir Syahmi Mat Razali, Hafizah Mohd Naharuddin, Fatanah Mohamad Suhaimi, and Nor Ashidi Mat Isa. "Truncation Effects on Effective Diameter Measurement for Size-specific Dose Estimation in Computed Tomography (CT) Imaging." Asian Journal of Medicine and Biomedicine 6, S1 (2022): 23–24. http://dx.doi.org/10.37231/ajmb.2022.6.s1.511.

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The determination of size specific dose estimation (SSDE) has been proposed for accurate CT dose assessment. The SSDE introduction has prompted numerous manufacturers and researchers to develop various methodologies that have progressed from manual to automated methods in SSDE determination. Few studies reported on truncation effects with respect to specific size and SSDE determination and CT manufacturers are yet to incorporate truncation correction in their system [1,2].
 This study aimed to evaluate the effects of truncation artifacts on the measurement of effective diameter (Deff) and
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Galzignato, Alice, Virgilio Galvis, Alejandro Tello, et al. "Accuracy of Haigis Formula Using Total Keratometry for IOL Power Calculation in Eyes with Previous Myopic and Hyperopic LASIK and PRK." Photonics 10, no. 6 (2023): 624. http://dx.doi.org/10.3390/photonics10060624.

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Background: this retrospective study aimed to analyze the results of the combination of the Haigis formula and total keratometry (TK) in calculating the IOL power in eyes with previous corneal refractive surgery. Methods: the TK value provided by the IOL Master 700 (Carl Zeiss Meditec) was introduced into the Haigis formula; the mean prediction error (PE), mean absolute error (MAE), median absolute error (MedAE) and percentage of eyes with a PE within ±0.25 D, ±0.5 D, ±0.75 D and ±1.00 D were calculated. Results: ninety-three eyes of 93 patients with previous laser refractive surgery were eval
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Cione, Ferdinando, Maddalena De Bernardo, Margherita Di Stasi, Martina De Luca, Rosa Albano, and Nicola Rosa. "Lens Factor Choice in IOL Power Calculation after Laser Refractive Surgery: The Right Constant for Advanced Lens Measurement Approach (ALMA)." Journal of Clinical Medicine 13, no. 17 (2024): 5186. http://dx.doi.org/10.3390/jcm13175186.

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Background/Objectives: To evaluate the advanced lens measurement approach (ALMA) formula accuracy using different lens constants available on the user group for laser interference biometry (ULIB) and IOL Con platforms. Methods: In this retrospective, comparative, case-series study, 150 eyes of 160 patients with previous myopic Photorefractive Keratectomy (PRK) or laser-assisted in situ keratomileusis (LASIK), who underwent uneventful cataract surgery and IOL implantation, were examined. The ALMA formula was evaluated to calculate the refractive prediction error (PE), analysing four different c
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Shah, Yachana, Angela Jacques, Lior Or, and Graham Barrett. "Comparison of toric intraocular lens calculation with the integrated K method and three single biometric devices." Journal of Cataract and Refractive Surgery 49, no. 12 (2023): 1201–8. http://dx.doi.org/10.1097/j.jcrs.0000000000001301.

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Purpose: To compare astigmatic outcomes using the Integrated K method and anterior surface keratometry from 3 different biometric devices. Setting: Lions Eye Institute, Perth, Australia. Design: Retrospective case series. Methods: Eyes of patients who underwent uneventful cataract surgery were analyzed. Predicted postoperative astigmatism was calculated for Integrated K method, IOLMaster 700, Lenstar and Pentacam. The mean centroid error in predicted postoperative refractive astigmatism (PE), mean absolute PE and percentage of eyes within 0.5 diopter (D), 0.75 D and 1 D of absolute magnitude o
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Stopyra, Wiktor, Oleksiy Voytsekhivskyy, and Andrzej Grzybowski. "Prediction of Seven Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Medium-Long Caucasian Eyes." Life 15, no. 1 (2025): 45. https://doi.org/10.3390/life15010045.

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Purpose: To compare the accuracy of seven artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in medium-long Caucasian eyes regarding the root-mean-square absolute error (RMSAE), the median absolute error (MedAE) and the percentage of eyes with a prediction error (PE) within ±0.5 D. Methods: Data on Caucasian patients who underwent uneventful phacoemulsification between May 2018 and September 2023 in MW-Med Eye Center, Krakow, Poland and Kyiv Clinical Ophthalmology Hospital Eye Microsurgery Center, Kyiv, Ukraine were reviewed. Inclusion criteria, i.e., complete
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Riyadh, G. Omar. "Coast function parameters optimization for DC battery source inverter feeding three-phase inductive load." International Journal of Power Electronics and Drive System (IJPEDS) 11, no. 4 (2020): 1799–804. https://doi.org/10.11591/ijpeds.v11.i4.pp1799-1804.

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The commonly reported measures of the predictive accuracy are evaluated in this paper. Absolute, squared, percentage, and integral errors methods are implemented, to reduce the objective function, which employed in model predictive control. These methods are usually investigated for dc source inverter, which controlled by finite set model predictive current control system, with three-phase induction motor load. In this paper, the evaluation includes different aspects, accuracy, complexity, system harmonics content, and execution time. A vital criterion in this process is the performance of the
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Gholam, Ali Shokor, Mohammed H. Alhamdoa, Hassan A. Abdul Hussein, and Sinan I. Mohammed. "Lifting capacity efficiency using polyethylene beads: A numerical investigation." Al-Qadisiyah Journal for Engineering Sciences 14, no. 3 (2022): 190–98. http://dx.doi.org/10.30772/qjes.v14i3.795.

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 Global demand growth has driven the development of more inventive methods for enhancing oil well drilling at lower prices and avoiding operational issues that slow down oil well drilling. The present research is significant because the lifting capacity may be increased by inserting polymer beads into drilling mud instead of high-cost additives. The numerical cuttings trajectory simulation was performed using the commercial ANSYS FLUENT 2019 R3 software to account for the influence of cuttings collisions. To test the cuts transport behavior owing to the presence of l
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Book chapters on the topic "Percentage error (PE)"

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Fam, Han Bor. "Outcomes Review of Intraocular Lens Power Calculation Formulas." In Intraocular Lens Calculations. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-50666-6_33.

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AbstractThis chapter analizes the published outcomes of intraocular lens (IOL) power calculation formulas. A modified version of the formula performance index (PI) proposed by Prof. Haigis is presented. This index ranks formulas accuracy based on several parameters, including the standard deviation (SD) of the prediction error, the median absolute error (MedAE) , the relationship between the prediction error (PE) and axial length (AL) and the percentage of eyes with a prediction error within ±1.00 D. Modifications include the mean absolute error, (MAE) the percentage of eyes with a prediction
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Conference papers on the topic "Percentage error (PE)"

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Hu, T., C. Chen, and H. Wei. "A Novel Methodology for Forecasting Petrochemical Product Prices in East China Market by Applying ARIMAX Time Series and Machine Learning Models." In International Petroleum Technology Conference. IPTC, 2024. http://dx.doi.org/10.2523/iptc-23114-ms.

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Abstract Forecasting petrochemical product prices is essential for economic decision making in the petrochemical industry. However, it is a challenging task to achieve accurate forecasts, given the price volatility in East China market, and the fact that the petrochemical product prices can be affected by various factors relevant in the industry. Therefore, we proposed a novel methodology which applied ARIMAX time series and machine learning models, combined with feature selection, for the price forecasting. This paper proposes a novel approach, which involves four steps of data gathering, fac
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Plácido, Talita Gabriele de Queiroz, Pedro Augusto Sampaio Rocha Filho, and Mário Luciano de Mélo Silva Júnior. "Analysis of the performance of adults and elderly people in the mini-mental state examination in Recife-PE." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.276.

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Background: The Mini-Mental State Examination (MMSE) is the most widely used cognitive screening test in the world. However, there is no standardization as to the cutoff points to be used in Brazil, and the influence of education on performance is still under debate. Objectives: To analyze the performance of individuals in the MMSE, comparing the results according to different scoring criteria and correlating it with schooling. Design and setting: Cross-sectional, descriptive study with 18 individuals, from January to April 2021, in Recife, Pernambuco. Individuals over 40 years old, with schoo
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