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1

Davidavičienė, Vida, Rasma Janeliūnienė, and Ginta Liberytė. "Waste Management Planning System – Factors Influencing Waste Composition in Lithuania." Business: Theory and Practice 13, no. (2) (2012): 132–40. https://doi.org/10.3846/btp.2012.14.

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Rapid changes in the field of information technologies, growing production and consumption forced by economic growth lead to growth of waste causing the new challenges to waste management. All these fields are widely analyzed by scientists as separate scientific, technological, environmental or economic problems as well as integrated questions. Waste management is analyzed comprehensively and systematically as well as individual questions of waste generation, waste forecasting, waste storage, and other questions. The information technologies (information systems) are engaged in different stage
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Raudonis, Vidas, Agne Paulauskaite-Taraseviciene, and Linas Eidimtas. "ANN Hybrid Model for Forecasting Landfill Waste Potential in Lithuania." Sustainability 14, no. 7 (2022): 4122. http://dx.doi.org/10.3390/su14074122.

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Waste management is currently a fast-growing environmental business and one of solutions to manage the huge amount of waste being generated on landfills is to use the disposed waste as an energy source. There is a major focus on energy forecasting, highlighting the importance of having reliable data on the volume and composition of municipal solid waste in landfills. However, the lack of historical data is forcing the development of machine-learning based models. This study contributes to this field by proposing a hybrid ANN-based model to forecast the total amount of landfill waste, different
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Nęcka, Krzysztof, Tomasz Szul, Joanna Piotrowska-Woroniak, and Krzysztof Pancerz. "Assessment of Municipal Waste Forecasting Methods in Poland Considering Socioeconomic Aspects." Energies 17, no. 14 (2024): 3524. http://dx.doi.org/10.3390/en17143524.

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As a public service, municipal waste management at the local and regional levels should be carried out in an environmentally friendly and economically justified manner. Information on the quantity and composition of generated municipal waste is essential for planning activities related to the implementation and optimization of the process. There is a need for reliable forecasts regarding the amount of waste generated in each area. Due to the variability in the waste accumulation rate, this task is difficult to accomplish, especially at the local level. The literature contains many reports on t
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Lan, Nguyen Mai, Dao Hoang Tung, and Bui Sy Bach. "STATUS OF RESIDENTIAL SOLID WASTE MANAGEMENT. A CASE STUDY IN DONG ANH DISTRICT, HANOI, VIETNAM." Tạp chí khoa học Tài nguyên và Môi trường, no. 54 (December 25, 2024): 13–24. https://doi.org/10.63064/khtnmt.2024.636.

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Residential solid wastes have been becoming an environmental threat for every city, especially crown and high population. The status of Residential Solid Waste (RSW) in a large city, such as Hanoi in general and Dong Anh district in particular, can bring a better vision for management activities. In this study, RSW will be carried out to assess the sources and component contribution being inputs for further forecasting of generated RSW until 2025 in study areas, Dong Anh district, the Tien Duong, and Uy No communes. This study applies the separation of the waste in sites and surveys to calcula
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Kotsіuba, Iryna, Sergii Lyko, Vitalina Lukianova, and Yevheniia Anpilova. "Scientific and theoretical justification of solid household waste accumulation in Zhytomyr Region." Environmental safety and natural resources 36, no. 4 (2020): 56–65. http://dx.doi.org/10.32347/2411-4049.2020.4.56-65.

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Practical experience of solid domestic waste (MSW) management in Ukraine and developed countries is analyzed. Theoretical volumes of MSW accumulation taking into account statistical factors are studied. The generalized method of MSW accumulation volumes allows forecasting their formation from the factors and evaluating the morphological composition of MSW in the region. The system for optimizing community waste management at the collection and disposal stage with the quality of the optimality criterion has been proposed. The degree of recycling and the costs of collecting and transporting wast
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Žvirblis, Tadas, Kristina Čižiūnienė, and Jonas Matijošius. "Application of Machine Learning for Fuel Consumption and Emission Prediction in a Marine Diesel Engine Using Diesel and Waste Cooking Oil." Journal of Marine Science and Engineering 13, no. 7 (2025): 1328. https://doi.org/10.3390/jmse13071328.

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This study creates and tests a machine learning model that can predict fuel use and emissions (NOx, CO2, CO, HC, PN) from a marine internal combustion engine when it is running normally. The model learned from data collected from conventional diesel fuel experiments. Subsequently, we evaluated its ability to transfer by employing the parameters associated with waste cooking oil (WCO) biodiesel and its 60/40 diesel mixture. The machine learning model demonstrated exceptional proficiency in forecasting diesel mode (R2 > 0.95), effectively encapsulating both long-term trends and short-term flu
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de-Prado-Gil, Jesús, Covadonga Palencia, P. Jagadesh, and Rebeca Martínez-García. "A Study on the Prediction of Compressive Strength of Self-Compacting Recycled Aggregate Concrete Utilizing Novel Computational Approaches." Materials 15, no. 15 (2022): 5232. http://dx.doi.org/10.3390/ma15155232.

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A considerable amount of discarded building materials are produced each year worldwide, resulting in ecosystem degradation. Self-compacting concrete (SCC) has 60–70% coarse and fine particles in its composition, so replacing this material with another waste material, such as recycled aggregate (RA), reduces the cost of SCC. This study compares novel Artificial Neural Network algorithm techniques—Levenberg–Marquardt (LM), Bayesian regularization (BR), and Scaled Conjugate Gradient Backpropagation (SCGB)—to estimate the 28-day compressive strength (f’c) of SCC with RA. A total of 515 samples wer
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8

RUSAKOVA, Т. I., and О. V. DOLZHENKOVA. "FORECASTING VOLUMES OF ACCUMULATED WASTE." Ukrainian Journal of Civil Engineering and Architecture, no. 3 (015) (June 25, 2023): 86–93. http://dx.doi.org/10.30838/j.bpsacea.2312.140723.86.959.

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Problem statement. The task of assessing the volume of accumulated waste in the territory of the Dnipropetrovsk region, which is constantly increasing, occupying a larger area and causing damage to the environment, is under consideration. To solve this forecasting problem, it is necessary to create a regression mathematical model for statistical evaluation and analysis of the factor variables’ influence to the total volume of accumulated waste. The purpose of the article. Creation of a mathematical model for forecasting assessment of possible volumes of accumulated waste in the territory of th
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Kim, Rak Hyun, and Sung Ho Tae. "A Study on the Construction Waste Forecasting Method Considering Material Loss Rate in South Korea." Advanced Materials Research 905 (April 2014): 187–90. http://dx.doi.org/10.4028/www.scientific.net/amr.905.187.

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With the purpose of proposing a construction waste forecasting method specialized for construction phase, this study suggested a forecasting method based on material loss rate to forecase construction wastes with diverse properties. Loss rate of 124 construction materials found in South Korea and Japan was provided. Also to review applicability of construction waste forecasting method using material loss rate, the amount of construction waste found using existing construction waste forecasting method and forecasing method proposed in this study was comparatively analyzed on apartment houses.
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Margarita Alexandrovna, Goncharova, Korneeva Anastasia Olegovna, Korneev Oleg Olegovich, and Hameed Ghalib Hussain Al-Surraiwy. "Effective polyurethane compositions filled with industrial wastes." International Journal of Engineering & Technology 7, no. 2.13 (2018): 240. http://dx.doi.org/10.14419/ijet.v7i2.13.12671.

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Formulations are developed and optimized for of rigid polyurethane foams filled with converter slag. The optimum content of the filler is 30%. Polyurethane compositions have the following characteristics: average density – 42.59 kg/m3, compressive strength at 10% deformation – 0.293 MPa, water absorption by volume 1.71%, coefficient of thermal conductivity – 0.028 W/m·0C. Polyurethane foams are applied in sandwich panels, multi-layer roof constructions and for the manufacture of fixing systems for metal rolled.Sandwich panels with polyurethane foam insulation and sheathing of specialized panel
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Nurmayanti, Wiwit Pura, Kertanah Kertanah, Siti Hadijah Hasanah, Abdul Rahim, and Hendrayani Hendrayani. "Peramalan Jumlah Sampah di Kabupaten Lombok Timur dengan Metode ARIMA dan Dekomposisi." Jambura Journal of Probability and Statistics 4, no. 2 (2023): 72–84. http://dx.doi.org/10.37905/jjps.v4i2.19954.

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AbstractForecasting is the science of predicting events that will occur using historical data and projecting them into the future with some form of mathematical model that aims to handle and policy in the future. In forecasting there are several methods, two of which are Autoregeressive Integrated Moving Average (ARIMA) and Decomposition. ARIMA is a method developed by George Box and Gwilym Jenkins in 1970. The Decomposition Method is a method that decomposes (breaks) time series data into several patterns, namely trend, cyclical and seasonal, and identifies each of these components separately
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12

Chusov, Alexander, Ekaterina Neguliaeva, and Mikhail Romanov. "Optimization of the Solid Waste Management System in Saint-Petersburg Based on the Morphological Composition Study." MATEC Web of Conferences 193 (2018): 02037. http://dx.doi.org/10.1051/matecconf/201819302037.

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The article presents the results of research (2013-2017) on the seasonal morphological composition of Municipal Solid Waste and forecasting the waste generation volume for Saint Petersburg. The authors propose ways to improve the system of solid waste management in St. Petersburg based on these researches.
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Fan, Hou Ming, Tong Xuan Qi, and Xiang Wei Mu. "Forecasting of Medical Waste Generation Amount Based on GM (1, n) Model." Advanced Materials Research 726-731 (August 2013): 2850–54. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.2850.

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This article first applied correlation analysis to identify the key factors in factors influencing people's medical service demands, such as the population, economy and people's living level and so on. Then, it built the forecast model of the medical waste generation amount based on the GM (1, n). finally, it took Dalian city as an example for empirical study. The results show the forecast method has higher accuracy, and it is a useful method for the prediction of the medical waste generation amount.
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Jevsejeva, S., J. Prols, and V. Cudečkis. "Waste Generation in the Riga City and Their Composition." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 1 (June 26, 2006): 132. http://dx.doi.org/10.17770/etr2003vol1.1998.

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Items on waste generation in the Riga city are analysed. Short presentation of the study methods is provided, and achieved results are presented. Three different dwelling areas have been investigated: multi-apartment houses with and without of waste shoots and private houses. Comparison of obtained results with similar ones have been got abroad is included. It is stated that average solid household waste generation in the Riga city is 199.2 kg / capita / year or 1.52 m3/ capita / year. Morphological composition of waste is analysed, and it is stated that following types of waste are dominating
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15

Pan, Ane, Linxiu Yu, and Qing Yang. "Characteristics and Forecasting of Municipal Solid Waste Generation in China." Sustainability 11, no. 5 (2019): 1433. http://dx.doi.org/10.3390/su11051433.

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The clear understanding of characteristics and trends of solid waste generation is essential for the optimization of waste collection and treatment systems. Taking 651 cities in China as a sample, this study adopts correlation analysis and the Q-type clustering model to explore the characteristics and general trends of solid waste generation (SWG) of five cities of different scale from 2007 to 2016. The results show that the trends of average amount and the annual per capita SWG are diversified in cities of different scale. The permanent residents and regional GDP have prominent impacts on SWG
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16

BAŞKÖY BEKTAŞ, Cansu, and Nurdan Gamze TURAN. "Ordu İlinde Kentsel Katı Atık Yönetimi ve Sıfır Atık Stratejisinin Değerlendirilmesi." Karadeniz Fen Bilimleri Dergisi 13, no. 4 (2023): 1906–17. http://dx.doi.org/10.31466/kfbd.1373887.

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Zero waste management is a broad concept that covers all areas that produce waste such as public institutions and organizations, local governments, industrial facilities, hospitals, educational institutions, tourism facilities and workplaces. In this study, the amount, composition, management and transition process to zero waste management system of municipal solid waste in Ordu were investigated. In Ordu, a coastal city of the Eastern Black Sea region, municpal solid waste is collected by the dual collection method and disposed of in a sanitary landfill. Approximately 69% of the municipal sol
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17

Yang, Yinsheng, Gang Yuan, Jiaxiang Cai, and Silin Wei. "Forecasting of Disassembly Waste Generation under Uncertainties Using Digital Twinning-Based Hidden Markov Model." Sustainability 13, no. 10 (2021): 5391. http://dx.doi.org/10.3390/su13105391.

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Disassembly waste generation forecasting is the foundation for determining disassembly waste treatment and process formulation and is also an important prerequisite for optimizing waste management. The prediction of disassembly waste generation is a complex process which is affected by potential time, environment, and economy characteristic variables. Uncertainty features, such as disassembly amount, disassembly component status, and workshop scheduling, play an important role in predicting the fluctuation of disassembly waste generation. We therefore focus on revealing the trend of waste gene
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18

Silvennoinen, Kirsi, Juha-Matti Katajajuuri, Hanna Hartikainen, Lotta Heikkilä, and Anu Reinikainen. "Food waste volume and composition in Finnish households." British Food Journal 116, no. 6 (2014): 1058–68. http://dx.doi.org/10.1108/bfj-12-2012-0311.

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Purpose – The purpose of this paper is to determine the volume and quality of food waste in Finnish households and discuss drivers for waste being produced. Design/methodology/approach – In total, 380 households weighed all solid food waste and liquid milk waste daily each time they disposed food during a two-week period. The authors concentrated only on avoidable food waste, i.e. all wasted food and raw material that could have been consumed, had they been stored or prepared differently. Other biowaste, such as vegetable peelings, coffee grounds, or bones, was not measured. Findings – The amo
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Zaman, Badrus, Anik Sarminingsih, Ika Bagus Priyambada, Mochamad Arief Budihardjo, Bimastyaji Surya Ramadan, and Uus Uswatun Hasanah. "Determining the Illegal Waste Disposal in Coastal Area using Transect Walk Approach." Journal of Governance Risk Management Compliance and Sustainability 3, no. 1 (2023): 31–44. http://dx.doi.org/10.31098/jgrcs.v3i1.1501.

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The increasing population and anthropogenic activities in cities/regencies in Indonesia have caused many waste-related problems, which can trigger environmental and human health. In addition to population growth, rapid economic development has resulted in an increasing amount and type of waste. The coastal area is one area that still needs to get adequate solid waste services. There have been many studies on waste management. However, research has yet to examine the amount and composition of waste generation in coastal areas that have not been served by waste management.. This study shows the
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Dwi Januari, Arty, Suyud Warno Utomo, and Haruki Agustina. "Estimation and potential of palm oil empty fruit bunches based on crude palm oil forecasting in Indonesia." E3S Web of Conferences 211 (2020): 05003. http://dx.doi.org/10.1051/e3sconf/202021105003.

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The increase of palm oil production produced waste, which has an impact on the environmental burden. Therefore, the purpose of this article is to predict the amount of palm oil empty fruit bunches produced per month in Indonesia to determine the potential of empty fruit bunches management. The predicted amount of the waste is based on crude palm oil (CPO) forecasts analysis that is processed using exponential triple smoothing. Based on the analysis, it was obtained that the amount of waste of empty fruit bunches proved to be directly proportional to the crude palm oil production. The efficienc
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Kozlov, Grigorii, and Mikhail Pushkarev. "Forecast of the morphological composition of municipal solid waste in Moscow (Russia)." E3S Web of Conferences 135 (2019): 01053. http://dx.doi.org/10.1051/e3sconf/201913501053.

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The article provides data on forecasting the composition of municipal solid waste (MSW) in the city of Moscow (Russia). The paper proposes a methodology for predicting the morphological composition of MSW and checks its operability. It was found that using the regression equations it is possible to fairly reliably (with an error within 5%) predict the composition of the main fractions of MSW (food waste, polymers, paper, screenings, etc.), however, it is almost impossible to predict the particle size distribution in this way, since it depends on changes consumer pReferences and should be evalu
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Hsieh, Y.-H., D. Horlait, S. Humphry-Baker, et al. "Wasteforms for waste from advanced reprocessing." MRS Advances 1, no. 63-64 (2016): 4255–60. http://dx.doi.org/10.1557/adv.2017.217.

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ABSTRACTEURO-GANEX aims to recycle both major and minor actinides. As the final waste composition is free from actinides, adapted immobilization matrices should be developed. Synroc is a potential wasteform that has proven itself to be efficient in immobilizing high-level wastes (HLW). In this study, a new composition of Synroc, Synroc-Z, is designed and characterized. The key modification is in decreasing the amount of zirconolite phase, which is the main host phase for actinides and increasing the amount of other phases (hollandite and perovskite). As designed the obtained amount of zirconol
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Leroy, D., J. M. Giovannoni, and L. Y. Maystre. "Sampling Method To Determine a Household Waste Composition Variance." Waste Management & Research: The Journal for a Sustainable Circular Economy 10, no. 1 (1992): 3–12. http://dx.doi.org/10.1177/0734242x9201000102.

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Knowledge of waste composition is of crucial importance for waste management forecasting. Composition is usually specified by average content of glass, paper, organic matter etc. In this paper a sorting method and its application to variance determination is described. A variation coefficient and a confidence interval are then calculated. From these two parameters an appreciation of the dispersion and the uncertainty associated with the mean values can be derived. In the case studied, the variation coefficients calculated were between 0.10 and 0.50 depending on the class of waste. Analysis of
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Pudcha, Thichakorn, Awassada Phongphiphat, Komsilp Wangyao, and Sirintornthep Towprayoon. "Forecasting Municipal Solid Waste Generation in Thailand with Grey Modellin." Environment and Natural Resources Journal 21, no. 1 (2022): 1–12. http://dx.doi.org/10.32526/ennrj/21/202200104.

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Forecasting municipal solid waste generation is crucial in planning for effective and sustainable waste management. Where data on waste are limited, the grey model (GM) has proven to be a useful tool for forecasting. This study applied GM for forecasting municipal solid waste generation in Thailand up to 2030, based on a dataset from 2011-2018. Both univariate models and multivariate models with four influencing factors (population density, gross domestic product per capita, household expenditure, and household size) were tested. The GM (1,1)-0.1 and GM (1,3) provided the lowest prediction err
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Khan, M. Z. Ali, and F. A. Burney. "Forecasting solid waste composition — An important consideration in resource recovery and recycling." Resources, Conservation and Recycling 3, no. 1 (1989): 1–17. http://dx.doi.org/10.1016/0921-3449(89)90010-4.

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Verma, Apoorv, Alok Kumar, and N. B. Singh. "Application of Multi Linear Model for Forecasting Municipal Solid Waste Generation in Lucknow City: A Case Study." Current World Environment 14, no. 3 (2019): 421–32. http://dx.doi.org/10.12944/cwe.14.3.10.

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The objective of this study is to forecast the Municipal Solid Waste (MSW) quantity output in Lucknow city by 2025, establishing a relationship between various socio-economic variables and waste generated using Multiple Linear Regression Analysis (MLRA). It is found that the rate of generation of MSW in Lucknow increases after 1383 M ton d-1 in the year 2015 to 2075 M ton d-1 in the year 2025 and per capita waste increases after 0.465 kg capita-1 day-1 in 2015 to 0.616 kg capita-1 day-1 in 2025 respectively. The outcomes of the research are reliable to ascertain waste generation quantities in
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Linawati, Linawati, Made Sudarma, and I. Putu Oka Wisnawa. "Forecasting rupiah exchange rate with learning vector quantization neural network." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (2020): 24. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp24-31.

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<p>The classification technique and data forecasting will probably be one of the techniques that will often be needed in handling or managing big data. So, from that the author analyzes the possible development of the existing algorithms. The purpose is to find possibilities in the use of reliable algorithms in a particular field, then can be adopted and implemented to develop forecasting techniques in the future. Based on these considerations, the authors conducted experiments by applying LVQNN to conduct shortterm forecasting on daily period of the Rupiah exchange rate. The literature
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Linawati, Sudarma Made, and Putu Oka Wisnawa I. "Forecasting rupiah exchange rate with learning vector quantization neural network." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 1 (2020): 24–31. https://doi.org/10.11591/ijeecs.v18.i1.pp24-31.

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The classification technique and data forecasting will probably be one of the techniques that will often be needed in handling or managing big data. So, from that the author analyzes the possible development of the existing algorithms. The purpose is to find possibilities in the use of reliable algorithms in a particular field, then can be adopted and implemented to develop forecasting techniques in the future. Based on these considerations, the authors conducted experiments by applying LVQNN to conduct shortterm forecasting on daily period of the Rupiah exchange rate. The literature that is u
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Kulisz, Monika, and Justyna Kujawska. "Prediction of Municipal Waste Generation in Poland Using Neural Network Modeling." Sustainability 12, no. 23 (2020): 10088. http://dx.doi.org/10.3390/su122310088.

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Planning is a crucial component of short- and long-term municipal waste management. Establishing the relationships between the factors that determine the amount of waste generated by municipalities and forecasting the waste management needs plays a fundamental role in the development of effective planning strategies and implementation of sustainable development. Artificial Neural Network employed for verifying the forecasts pertaining to the amount of rainfall in Poland were presented in the studies. The proposed models included selected explanatory indices in order to reflect the impact of so
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Hutagalung, Winny Laura Christina, Elda Ariska, and Rinaldi Rinaldi. "Estimasi Emisi Gas Rumah Kaca dari Proses Pengelolaan Sampah Di Tempat Pemrosesan Akhir (TPA) Kabupaten Kerinci." Jurnal Daur Lingkungan 6, no. 1 (2023): 73. http://dx.doi.org/10.33087/daurling.v6i1.191.

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The amount of waste that enters the TPA of Kerinci Regency in 2020 is 21,962 Gg/year. The waste that enters the TPA is predicted to produce greenhouse gas emissions in the form of CH4, N2O and CO2. This study aims to determine the amount of generation and type of waste composition and calculate the estimated amount of greenhouse gas emissions (CH4, N2O, and CO2) in the TPA Kerinci until 2030. The calculation of GHG emissions used in this study is to use the Intergovernmental panel on climate change (IPCC) 2006. The composition of waste produced from TPA Kerinci Regency consists of 14.37% plast
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Nasir, Noryanti, S. Sarifah Radiah Shariff, Siti Sarah Januri, Faridah Zulkipli, and Zaitul Anna Melisa Md Yasin. "Time series forecasting of solid waste generation in selected states in Malaysia." International Journal of ADVANCED AND APPLIED SCIENCES 10, no. 4 (2023): 76–87. http://dx.doi.org/10.21833/ijaas.2023.04.009.

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This study aims to forecast Malaysian solid waste generation by identifying the state's landfill capacity to facilitate solid waste generated in the next two years. The solid waste management system depends extremely on landfill capacity. Due to the increased amount of solid waste generation, the authority is required to manage landfill utilization appropriately in selected regions, where landfill capacity was fully utilized. An accurate prediction of solid waste generation is required for the authority plan for landfill management. This paper provides the forecasting values for the seven stat
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Marciniuk-Kluska, Anna, and Mariusz Kluska. "Forecasting Energy Recovery from Municipal Waste in a Closed-Loop Economy." Energies 16, no. 6 (2023): 2732. http://dx.doi.org/10.3390/en16062732.

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Tackling climate change, implementing the principles of sustainable development and a closed-loop economy, and creating an economically and environmentally efficient waste management system are the most serious environmental and economic challenges today. One of the biggest problems with waste is that it causes water, soil, and air pollution. The combination of precipitation and septic processes produces leachates containing heavy metals and acids, which negatively affect surface and groundwater, changing their composition and pH, among other things. According to the Polish waste database, the
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Widiyanti, Astrini, and Taufikul Hadi. "POTENSI PEMANFAATAN SAMPAH DALAM MEWUJUDKAN PENGELOLAAN SAMPAH TERPADU DI UNIVERSITAS NAHDLATUL ULAMA NUSA TENGGARA BARAT." JURNAL ENVIROTEK 14, no. 1 (2022): 12–18. http://dx.doi.org/10.33005/envirotek.v14i1.168.

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UNU NTB campus activities produces inorganic and organic waste. The potential waste amount increasing provides an opportunity for managers to recyle waste into products of economic and environmental value. The purpose of this study to analyze the generation and composition of waste at UNU NTB which is the basic information for conducting integrated waste management. Field observations were made to analyze the amount of waste generated, the weight of the waste, and the percentage of waste composition. The waste generation at UNU NTB reaches 47 liters/day and the weight of waste reaches 3.74 kg/
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VASILIEV, A. "ASSESSMENT AND FORECASTING MAXIMUM CARBONIZATION OF CONCRETE." Herald of Polotsk State University. Series F. Civil engineering. Applied sciences 31, no. 8 (2022): 46–53. http://dx.doi.org/10.52928/2070-1683-2022-31-8-46-53.

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The article substantiates the need to study the carbonation of concrete and evaluate the maximum carbonization of it. The basic equation of prediction of change in time by concrete cross section of carbonate component of cement-sand fraction of concrete is given. An expression is proposed for estimating the limit value of concrete carbonation (PVC). PVC from concrete composition (amount of used cement) for concrete without additives, compressive strength classes С8/10–С50/60, mixture compositions, grades for ease of laying P1...P5 and G1...G4 for each class of concrete in terms of compressive
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Mishunina, Aleksandra Sergeevna, Alena Andreevna Mekh, and Egor Grigorevich Yazikov. "The Effect of Drilling Waste on Water Resources - The Elemental Composition of Waste." Key Engineering Materials 743 (July 2017): 338–41. http://dx.doi.org/10.4028/www.scientific.net/kem.743.338.

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In order to maintain the volume of oil and gas supplies, the number of oil and gas wells increases every year, drilling platforms are built, which proportionally increases the amount of sludge and drilling waste mud, which must be recycled. The research gives light to the danger of introducing chemical substances into various natural environments from industrial and anthropogenic sources on an example of drill cuttings from oil fields of Tomsk region.
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Beulah, Evelyn Lazarus*1 A. Magesh2 &. Dr. Sanjeevi Prasad3. "FORECASTING MUNICIPAL SOLID WASTE MANAGEMENT AND METHANE EMISSIONS IN GREATER CHENNAI METROPOLITAN." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 6, no. 4 (2019): 72–80. https://doi.org/10.5281/zenodo.2633085.

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Municipal Solid Waste (MSW) is a source of large scale emissions of green house gases. Methane and Carbon-di-oxide are primary drivers of climate change and global warming. Methane more specifically has 21 times the capacity to create global warming than Carbon-di-oxide.  This study estimates the emission potential of Municipal Solid Waste (MSW) collected for the baseline year 2016 using UNFCCC’s Clean Development Mechanism (CDM). It was found that the amount of methane that is generated from the SWDS in the baseline scenario in year 2016 is 19,527 (t CO2e/yr). This solid waste in t
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Tuan, Tran Ngoc. "CHARACTERISTICS OF HOUSEHOLD SOLID WASTE IN HUE CITY." Vietnam Journal of Science and Technology 55, no. 4C (2018): 168. http://dx.doi.org/10.15625/2525-2518/55/4c/12147.

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This paper examined the characteristics of household solid waste with a hope of contributing to the improvement of solid waste management in Hue city. The study was conducted by collecting, classifying and measuring household solid waste from 62 households in 7 consecutive days. A structure questionnaire was also used in the interviews with survey households to collect data on their demographic characteristics. The results show that the household solid waste was generated evenly on a daily basis with an amount of 286±171g/person/day during the weekdays. The composition of household domestic so
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Srivastava, Amitabh Kumar, and Arvind K. Nema. "Forecasting of solid waste composition using fuzzy regression approach: a case of Delhi." International Journal of Environment and Waste Management 2, no. 1/2 (2008): 65. http://dx.doi.org/10.1504/ijewm.2008.016992.

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Hu, Yusha, Yi Man, Tao Shi, Jianzhao Zhou, Zhiqiang Zeng, and Jingzheng Ren. "Fuel composition forecasting for waste tires pyrolysis process based on machine learning methods." Fuel 362 (April 2024): 130789. http://dx.doi.org/10.1016/j.fuel.2023.130789.

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Joshi, Ramesh Prasad, and Yadav Prasad Joshi. "A Study on Solid Waste Composition in Kanchanpur District, Nepal." Health Prospect 17, no. 1 (2018): 5–8. http://dx.doi.org/10.3126/hprospect.v17i1.21201.

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Background: Solid waste is a by-product of human activities. It has become an alarming challenge during recent decades in many cities of Nepal. Quantity and characteristics of solid waste have changed as a result of the modification in people’s lifestyle. The purpose of this study is to characterize the composition of solid waste in Bhimdatta Municipality of Kanchanpur district, Nepal.Methods: In between July to September 2015, a total of 45 households, 15 commercial places, 15 institutions were selected randomly. Solid waste samples were collected in recommended plastic bags. The collected wa
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Jesus Junior, Neilton Paixão de, Filipe Pinheiro Teixeira, Edivânia Bragança Mendonça, and Simone Pereira Taguchi Borges. "Influence of the Amount of Dimension Stone Waste on Water Absorption of Soil-Cement Bricks." Research, Society and Development 11, no. 13 (2022): e530111335761. http://dx.doi.org/10.33448/rsd-v11i13.35761.

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This paper shows the use of dimension stone waste in the manufacture of soil-cement bricks. Initially, a sample of the soil was analyzed for mineralogical composition, particle size distribution (classifying it in the proportion of silt, sand, and clay), and physical performance by plasticity (Atterberg limits specified by standard NBR 7180). A series of soil/waste/cement mixtures were prepared with contents up to 90% wt.% of dimension stone waste. The samples were characterized as mineralogical composition, microstructure, and water absorption after 7, 14, 21, 28, and 60 days. The composition
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Matijaš, Antonela, Maja Firić, Duje Donadić, Ivan Plenković, Ante Obad, and Mario Podrug. "Composition and quantity of medical waste and its impact on the environment before and during the Covid-19 pandemic." Hrvatski časopis zdravstvenih znanosti 3, no. 1 (2023): 62–66. http://dx.doi.org/10.48188/hczz.3.1.9.

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Medical waste is generated in healthcare institutions and can be of different types. According to its properties, it can be classified as hazardous medical waste or non-hazardous medical waste. Due to its potentially dangerous properties, it is necessary to manage medical waste in accordance with the provisions of the Waste Management Act and the Ordinance on Medical Waste Management (1, 2). In the period from 2015 to 2019, the amount of medical waste grew annually by an average of 8%. In 2020, 7.014 tons of medical waste were generated, of which 74% was hazardous and 26% was non-hazardous med
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Ahirwar, Neeraj Kumar. "Problem of Solid Waste Management and its Impact on Urban Environment." International Journal for Research in Applied Science and Engineering Technology 9, no. VIII (2021): 107–10. http://dx.doi.org/10.22214/ijraset.2021.37284.

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The problem of urban solid waste management is regarded as one of the most important environmental issues, especially in developing countries. Municipalities all around the world are dealing with increasing levels of solid garbage and need to devise effective strategies to tackle the problem. It is critical to understand the amount of garbage created and the makeup of the waste stream in order to develop successful waste management in any location. Many research have established that the amount of waste generated is proportional to the population. There are several other factors which affect t
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Prasetiawan, N. R., N. Sudirman, H. L. Salim, et al. "Preliminary Study Of Marine Debris Composition From Fisherman Activities : A Case Study On Cikidang Fishing Port, Pangandaran." IOP Conference Series: Earth and Environmental Science 1118, no. 1 (2022): 012082. http://dx.doi.org/10.1088/1755-1315/1118/1/012082.

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Abstract Marine debris pollution has become an important issue in recent years. It has an impact on marine environment and marine life, as well as effecting human health. The objective of this study was to identify the composition of waste that was produced from the fishermen’s activities. The research was conducted in Cikidang Fishing Port, Pangandaran. The data of waste types from fishing vessel were grouped based on the vessel’s dimension. The result show that plastics dominated the waste composition, and based on the vessel dimension when compared the amount of waste generated, the amount
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Shaumarov, Said, Abdulaziz Gulamov, Sanjar Kandakhorov, and Jamshid Abdunazarov. "Optimization of physical and mechanical properties of non-autoclaved aerated concrete based on industrial waste." E3S Web of Conferences 401 (2023): 03010. http://dx.doi.org/10.1051/e3sconf/202340103010.

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This article presents the results of experimental research on the parameters of aerated concrete porosity strength properties and properties based on industrial waste. The structurally optimal amount of water was determined, reflecting the physical-mechanical, thermal-technical properties of the outer wall structures based on aerated concrete. The test results were carried out in research laboratories using aerated block constructions with high porosity and optimal composition, and improved technological solutions for autoclaved aerated concrete were developed. Study of changes in the properti
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Báreková, Anna, and Zuzana Franeková. "Composition Analysis Of Municipal Solid Waste At A University Dormitory." Acta Horticulturae et Regiotectuare 18, no. 2 (2015): 49–52. http://dx.doi.org/10.1515/ahr-2015-0010.

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Abstract The paper represents a waste composition study that was conducted at the Mladosť dormitory of the Slovak University of Agriculture (SUA) in Nitra. The aim of the study was to determine the amount and composition of waste generated in the dormitory and to provide recommendations for enhancing the recycling rates and to improve the overall sustainability of waste management in the dormitory. The analysed solid waste was separated into organics, papers, plastics, glass, metals, cardboard beverage packaging (tetrapak), electronic waste (e-waste), and others. The estimated annual average q
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Sseptiningtiyas, Dina T., Wazirotus Sakinah, and Ani Listriyana. "The Estimation of Volume and Type of Household Waste in the Coastal Village, Besuki Region, Situbondo, East Java." MATEC Web of Conferences 177 (2018): 01020. http://dx.doi.org/10.1051/matecconf/201817701020.

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Population growth is very influential on the amount of waste generated. The available land is very limited. The coastal community in Besuki mostly disposes garbage in the sea of any river due to unavailability of landfill. So we need a study on the estimated volume and type of waste generated by households in coastal village in Besuki region, Situbondo. This study used 10 household samples spread over coastal village. The study was conducted for 8 days using survey method with sampling (Proportional Random Sampling). Based on the results of the preparation, obtained the waste generated in the
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Stejskal, Bohdan. "Determination of proportion of biodegradable and non-biodegradable cemetery waste fraction." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 58, no. 2 (2010): 181–84. http://dx.doi.org/10.11118/actaun201058020181.

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Municipal waste landfilling is the most common practice of municipal waste disposal in the Czech Republic. As a member state of the EU the Czech Republic must comply with the legislative requirements set for waste management. EU Council Directive 1999/31/EC requires member states to limit the amount of bio-degradable waste into landfill.To achieve the objectives of the Plan of Waste Management of the Czech Republic, various methods has been proposed. Prior to the waste processing, it is necessary to know the waste material composition, and after that select the most appropriate method and proc
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Dewi, Anggie Sukma, Syahril Nedi, and Bintal Amin. "INPUT OF DOMESTIC WASTE IN THE ESTUARY OF DUMAI RIVER AND MESJID RIVER INTO THE RUPAT STRAIT WATERS." Asian Journal of Aquatic Sciences 7, no. 1 (2024): 26–32. http://dx.doi.org/10.31258/ajoas.7.1.26-32.

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The study was conducted in December 2022 in the Dumai River Estuary and Dumai City Mesjid River Estuary, Riau Province. The purpose of this study is to determine the amount and type of garbage that enters the sea through the estuary of the Dumai River and the Mesjid River, the difference between the amount and type of waste, and the difference between days from the garbage contained in the estuary of the Dumai River and the Mesjid River in Dumai City. The research method used is a direct survey method in the field, where data collection is carried out directly at low tide using a net stretched
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Hidayah, Euis Nurul, Imroatul Mufidah, Indah Fitriana Solichah, Okik Hendriyanto Cahyonugroho, and Kindriari Nurma Wahyusi. "Solid Waste Management Practices at The Academic Institution: Current Situation and Strategic Plan." International Journal of Eco-Innovation in Science and Engineering 1, no. 01 (2020): 18–24. http://dx.doi.org/10.33005/ijeise.v1i01.11.

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Waste management is one of the actionsof environmental management for improving environmental quality. This study describes the waste management in the campus through improvement of operational techniques, starting from container, collection, and transportation. Case study was taken in the university, which the amount of waste generation is about 166.559 kg/day or 0.013 L/person/day. The waste collection system is designed to use individual disaggregated sorting patterns that are adjusted to the composition of the waste, colour differentiation, and label of the container. Amount of sorted cont
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