Relevant bibliographies by topics / Weighted average smoothing

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Weighted average smoothing'

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

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Journal articles on the topic "Weighted average smoothing"

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Seng, Hansun, and Subanar. "Brown's Weighted Exponential Moving Average Implementation in Forex Forecasting." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 3 (2017): 1425–32. https://doi.org/10.12928/TELKOMNIKA.v15i3.5410.

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In 2016, a time series forecasting technique which combined the weighting factor calculation formula found in weighted moving average with Brown’s double exponential smoothing procedures had been introduced. The technique is known as Brown’s weighted exponential moving average (B-WEMA), as a new variant of double exponential smoothing method which does the exponential filter processes twice. In this research, we will try to implement the new method to forecast some foreign exchange, or known as forex data, including EUR/USD, AUD/USD, GBP/USD, USD/JPY, and EUR/JPY data. The time ser
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Simon, Gusman. "Peramalan pendaftar mahasiswa baru dengan menggunakan metode moving average, weighted moving average dan exponential smoothing." Jurnal Teknik Industri Terintegrasi 8, no. 1 (2025): 13–21. https://doi.org/10.31004/jutin.v8i1.36423.

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Forecasting, which is part of planning activities, provides benefits for higher education institutions to prepare for the needs of the selection process. This study aims to predict the number of new student applicants using the moving average, weighted moving average, and exponential smoothing methods. Forecast accuracy testing through signal tracking tests in each period, as well as MAD, MSE, and MAPE values. The forecast results using the exponential smoothing method with α 0.2 provide the smallest MAD results compared to other methods. The forecast results using the 3-period weighted moving
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Aji, Briyan Gifari, Dwi Chandra Aditya Sondawa, Fairuz Aqila Anindika, and Dwi Januarita. "Analisis Peramalan Obat Menggunakan Metode Simple Moving Average, Weighted Moving Average, Dan Exponential Smoothing." JURIKOM (Jurnal Riset Komputer) 9, no. 4 (2022): 959. http://dx.doi.org/10.30865/jurikom.v9i4.4454.

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Forecasting is one of the essential measures in decision making, especially for estimating the number of needs. Some large companies often hire consultants to analyze and advise on forecast product demand. Especially in the health sector, forecasting is needed to meet customer drug demand. In the last two years, the Healthy Prayer Clinic experienced problems in planning the procurement of non-generic drugs due to the COVID-19 pandemic, where the number of drug requests was greater than the number of available drug stocks. This happened because the Healthy Prayer Clinic ordered non-generic drug
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Awanda, Ridho, and Kresna Oktafianto. "PERAMALAN PERMINTAAN PAVING MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE DAN EXPONENTIAL SMOOTHING." MathVision : Jurnal Matematika 3, no. 1 (2021): 14–18. http://dx.doi.org/10.55719/mv.v3i1.252.

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Abstrak– CV. Berlian Abadi adalah perusahaan yang bergerak di bidang jasa kontruksi sipil, perdagangan umum dan supplier produk beton yang menerapkan sistem Make to Stock (MTS). Salah satu produk beton yang diproduksi pada CV. Berlian Abadi adalah paving. Paving merupakan merupakan produk yang paling banyak terjual dibandingkan produk lain namun permintaan produk paving bersifat fluktuatif yang artinya permintaan tidak menentu sehingga sering terjadi masalah pada saat prediksi banyaknya produk yang harus ada pada bulan berikutnya. Tujuan dari penelitian ini adalah untuk meramalkan permintaan p
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Aprilyanta, I. Gede Bawa, Ariesta Lestari, and Sherly Christina. "PERBANDINGAN IMPLEMENTASI METODE WEIGHTED MOVING AVERAGE DAN METODE SINGLE EXPONENTIAL SMOOTHING PADA PENENTUAN PERSEDIAAN OBAT." Jurnal SAINTEKOM 12, no. 2 (2022): 137–45. http://dx.doi.org/10.33020/saintekom.v12i2.317.

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Pharmacy is a business-oriented business which directly sells medicines to consumers. In ensuring that the drug supply is in accordance with market demand, the leadership of the Hasanah Palangka Raya Pharmacy usually estimates the drug supply for the future period based on sales reports and experience. For research purposes, it will provide a solution by developing Forecasting Applications by applying the Weighted Moving Average method with weights 2, 3, 4, 5, 6, 7, 8 and 9 periods and the Single Exponential Smoothing method with constant smoothing or (alpha), namely 0.2, 0.3, 0.4, 0.5, 0.6, 0
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Juniarto, Tuwandi, Yasmin, Budi Santoso, and Ahmad Noor Faiz. "Peramalan Produksi Pupuk NPK Menggunakan Metode Moving Average, Weighted Moving Average Dan Exponential Smoothing Di PT. XYZ." Integrasi: Jurnal Ilmiah Teknik Industri 10, no. 1 (2025): 76–85. https://doi.org/10.32502/integrasi.v10i1.426.

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Fluktuasi produksi pupuk NPK di PT XYZ menjadi tantangan dalam memenuhi kebutuhan pasar yang dinamis. Penelitian ini bertujuan untuk menentukan metode peramalan produksi terbaik menggunakan Moving Average, Weighted Moving Average, dan Exponential Smoothing. Data yang digunakan berupa produksi bulanan pupuk NPK dari Januari hingga Agustus 2024. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan analisis time series. Hasil penelitian menunjukkan bahwa Exponential Smoothing menghasilkan nilai akurasi tertinggi berdasarkan indikator MAD, MSE, dan MAPE. Temuan ini menegaskan pent
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Huh, Ick, Román Viveros-Aguilera, and Narayanaswamy Balakrishnan. "Differential Smoothing in the Bivariate Exponentially Weighted Moving Average Chart." Journal of Quality Technology 45, no. 4 (2013): 377–93. http://dx.doi.org/10.1080/00224065.2013.11917945.

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Sinatra, Idzanul Iksan, Bambang Pramono, and Statiswaty Statiswaty. "PERBANDINGAN KEEFEKTIFAN METODE WEIGHTED MOVING AVERAGE DAN SINGLE EXPONENTIAL SMOOTHING UNTUK PERAMALAN JUMLAH PELANGGAN TELKOMSEL." semanTIK 5, no. 2 (2019): 255–62. https://doi.org/10.5281/zenodo.3464228.

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<em>PT. Telkomsel almost controls 90% market share in Indonesia with more than 196 million subscribers in 2017. Grapari Kendari City as a service center for Telkomsel customers in Southeast Sulawesi still does not have a system to predict the number of its customers. This resulted in the loss of potential services that should have been able to be provided such as the construction of branch offices in areas that have the potential to have a high number of customers to provide overall service to customers. To overcome this problem, a system will be created that can assist in managing customer da
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Alex, Muhammad Asyrof Hidayatullah, and Nur Rahmawati. "Application of the Single Moving Average, Weighted Moving Average and Exponential Smoothing Methods For Forecasting Demand At Boy Delivery." Tibuana 6, no. 1 (2023): 32–37. http://dx.doi.org/10.36456/tibuana.6.1.6442.32-37.

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Boy Delivery is a delivery service in the city of Lamongan which has been operating for about 4 years. Boy Delivery has an average of 12,000 demand per month. However, the high demand was not accompanied by good demand management, Boy Delivery often piled up and even rejected a number of demand due to the unavailability of drivers at that time, this was due to an incorrect prediction of demand. Therefore this research was conducted to help forecast future demand using the Single Moving Average, Weighted Moving Average, and Exponential Smoothing methods. Of the three methods, the Single Exponen
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Marita, Lita Sari, and Ida Darwati. "Prediksi Persediaan Barang Menggunakan Metode Weighted Moving Average, Exponential Smoothing dan Simple Moving Average." Jurnal Tekno Kompak 16, no. 1 (2022): 56. http://dx.doi.org/10.33365/jtk.v16i1.1484.

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Inventory of goods is one of the very important sales activities, because it indirectly has an impact on customer satisfaction, it is possible that customers will feel disappointed if the goods they are looking for are not available because the stock is out of stock, if this happens it is very possible even until the customer loses. To avoid customer disappointment and maintain stock of goods so that they are always available when needed, it is important necessary to predict the inventory of goods in this case are brown envelopes at photocopy shops and office stationery F2. To be able to predi
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Dissertations / Theses on the topic "Weighted average smoothing"

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Michálková, Simona. "Forecasting Ability of the Phillips Curve." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-203770.

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The aim of this paper is to investigate various versions of the Phillips curve and their inflation forecasting ability for Euro Area. We consider autoregressive distributed lag models and use two types of trend estimation -- successive (the trend is estimated before the remaining parameters are) and join, using exponential smoothing. The versions of the Phillips curve are evaluated by rolling and recursive window methods, various selection criteria for lag variables and different combination of the inflation indicators. To evaluate the forecasted values, we calculate the RMSE in three 7-year p
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Conference papers on the topic "Weighted average smoothing"

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Jin, Renchao, Lijuan Zhang, Bo Meng, Enmin Song, Xiangyang Xu, and Chih-Cheng Hung. "A weighted average algorithm for edge-preserving smoothing on MRI images." In Medical Imaging, edited by Joseph M. Reinhardt and Josien P. W. Pluim. SPIE, 2006. http://dx.doi.org/10.1117/12.653423.

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Rahayu, Latifah, Siti Rusdiana, Hizir Sofyan, Rumaisa Kruba, and Selvi Mardalena. "Dengue fever trends in Aceh using single moving average, weighted moving average and exponential smoothing." In PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE OF THE POLYMER PROCESSING SOCIETY (PPS-38). AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0231346.

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Colosimo, Bianca Maria, Giovanni Moroni, and Marco Grasso. "On the Use of Statistical Process Control Approaches for Automated and Real-Time Monitoring of Machining Processes." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24923.

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The paper proposes an SPC approach for automatic forecasting and monitoring of sensor signals in presence of cycle-based data (i.e. signal data which periodically repeat themselves) which can be observed in different machining processes, such as milling, forming or water-jet cutting. The monitoring system exploits an univariate time series analysis and monitoring technique based on an Exponentially Weighted Moving Average (EWMA) Control Chart for auto-correlated data coupled with the Holt-Winters exponential smoothing method, that is used to forecast future signal behaviour given its past hist
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Raudys, Aistis. "Optimal negative weight moving average for stock price series smoothing." In 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr). IEEE, 2014. http://dx.doi.org/10.1109/cifer.2014.6924079.

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Morris, Lloyd, Homero Murzi, Hernan Espejo, Olga Jamin Salazar De Morris, and Juan Luis Arias Vargas. "Big Data Analysis in Vehicular Market Forecasts for Business Management." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002299.

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Information in various markets constitutes the primary basis for making the right decisions in a modern and globalized world. Therefore, opportunities grow based on the availability of data and how the data is structured to obtain information that supports decision-making processes, Ogrean (2018) and Neubert (2018), and even more so when business dynamics revolve around satisfying the demand for the products or services offered, Jacobs and Chase (2009). This article proposes the analysis of the new vehicle market, through operational research techniques, addressing the behavior of vehicle sale
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Bílková, Diana. "Financial Potential of Czech Employees from the Perspective of Gender Statistics." In Liberec Economic Forum 2023. Technical University of Liberec, 2023. http://dx.doi.org/10.15240/tul/009/lef-2023-01.

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In the third quarter of 2022, the average gross monthly nominal wage rose by 6.1 percent compared to last year, but in real terms it fell by 9.8 percent due to inflation. The decline is the same as in the previous quarter. Inflation and a real drop in average wages have already forced three quarters of employees significantly to reduce some expenses. Considering the current situation, the biggest savings relate to holidays, eating out in restaurants, culture or sports activities. In general, people save by limiting purchases of better or better quality products or services, as well as branded
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Titov, Alexander A., Alexander I. Leontiev, Uriy A. Vinogradov, Andrey G. Zditovets, and Mark M. Strongin. "Experimental Investigation of Skin Friction Drag and Heat Transfer on the Surfaces With Concavities in Compressible Fluid Flow." In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-22585.

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This experimental study has been performed to investigate the surface heat transfer enhancement in compressible fluid flow by using hemispherical concavities (dimples). The experiments were carrying out in supersonic wind-tunnel with free-stream Mach number 2,8. Using the IR-imager the temperature fields of the testing plates were obtained at any time of experiments. The studying of these fields at unsteady conditions allowed to obtain the area-averaged heat transfer coefficient. The skin friction drag of the test plates was found by direct weight measurement with using a “smoothing element”.
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Yadav, Rakesh, Ashoke De, and Sandeep Jain. "A Hybrid Flamelet Generated Manifold Model for Modeling Partially Premixed Turbulent Combustion Flames." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-65030.

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In this work, a hybrid Flamelet Generated Manifold (FGM) method has been implemented in which both premixed and diffusion based laminar flame manifolds are generated independently and used within one solution framework to capture the multiple combustion regimes inside a combustor. The two manifolds are generated by solving the conservation of species and energy in a transformed space of mixture fraction and progress variable. The mixture averaged properties in a combustor are then calculated using a scalar weighted contribution of premixed and diffusion manifolds. This scalar represents the ex
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Shang, Ziyu, Peng Wang, Wenjun Ke, et al. "Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/258.

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Knowledge graph reasoning (KGR) aims to infer new factual triples from existing knowledge graphs (KGs). Recently, a new category of methods, possessing both transductive and inductive reasoning capabilities, has been proposed to tackle this task via learning entity-independent representations from local neighboring structures. However, these methods are plagued by inefficiency issues and they exclusively capture evidence from well-designed local structures, ignoring the correlation between the query and different structures within KGs. In this work, we first propose a novel multi-granularity a
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Li, Chengxi, Peng Cheng, and Chris Cheng. "A Comparison of Machine Learning Algorithms for Rate of Penetration Prediction for Directional Wells." In Middle East Oil, Gas and Geosciences Show. SPE, 2023. http://dx.doi.org/10.2118/213321-ms.

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Abstract One of the biggest challenges facing oil and gas companies is to lower the cost of drilling operations. The most critical parameter affecting drilling cost is the rate of penetration (ROP). Improving the ROP and reducing the drilling cycle can be significant for companies to reduce drilling costs and risks, thus enhancing market competitiveness. In the present study, we evaluate the accuracy and effectiveness of different machine learning algorithms for directional wells. We collect many field drilling datasets such as bit type, bit drilling time, revolutions per minute (RPM), weight
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