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Artykuły w czasopismach na temat „Classification Scrap Management”

Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Sprawdź 25 najlepszych artykułów w czasopismach naukowych na temat „Classification Scrap Management”.

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Prof., S. P. Veer Harshal Linge Aditya Zade Parikshit Urkande Mrunali Nimbulkar Nutan Sayankar Payal Khedekar. "Machine Learning Techniques in Scrap Management System." International Journal of Advanced Innovative Technology in Engineering 10, no. 2 (2025): 100–107. https://doi.org/10.5281/zenodo.15401161.

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The application of machine learning methods on scrap management systems is discussed in this literature review. ML methods have been used in recycling process optimisation, predictive maintenance, and sorting scrap.  This research looks at several machines learning methodologies, including computer vision, clustering, and classification.  It also discusses practical applications and challenges in implementing machine learning in this domain. The results prove that machine learning is able to enhance sorting accuracy, reduce operational costs, and enable more eco-friendly recycling pr
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Li, Yifeng, Xunpeng Qin, Zhenyuan Zhang, and Huanyu Dong. "A robust identification method for nonferrous metal scraps based on deep learning and superpixel optimization." Waste Management & Research: The Journal for a Sustainable Circular Economy 39, no. 4 (2021): 573–83. http://dx.doi.org/10.1177/0734242x20987884.

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End-of-life vehicles (ELVs) provide a particularly potent source of supply for metals. Hence, the recycling and sorting techniques for ferrous and nonferrous metal scraps from ELVs significantly increase metal resource utilization. However, different kinds of nonferrous metal scraps, such as aluminium (Al) and copper (Cu), are not further automatically classified due to the lack of proper techniques. The purpose of this study is to propose an identification method for different nonferrous metal scraps, facilitate the further separation of nonferrous metal scraps, achieve better management of r
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Ipin, Saiful Arifin, Tukino, and Elfina Novalia. "The Use of Support Vector Machine in Classifying Scrap Metal Goods Based on Physical Characteristics." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 4, no. 3 (2025): 2283–88. https://doi.org/10.59934/jaiea.v4i3.1154.

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The problem of metal waste management, especially scrap metal, is increasingly complex with the increase in industrial and construction activities that produce various types of waste materials. Scrap metal is one type of waste that still has high economic value if it can be sorted and classified appropriately based on its type and quality. However, manual classification methods are still predominantly used, subjectivity and human error. To overcome these challenges, this study proposes an artificial intelligence-based approach by implementing Support Vector Machine (SVM) as an automatic classi
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Bernat, Łukasz, Tomasz Jurtsch, Grzegorz Moryson, Jan Moryson, and Grzegorz Wiczyński. "Effect of Surface Condition on the Results of Chemical Composition Measurements of Scrap Copper Alloys." Recycling 9, no. 1 (2024): 14. http://dx.doi.org/10.3390/recycling9010014.

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The processing of copper-bearing scrap makes it possible to reduce the costs and energy consumption of obtaining copper alloy products compared to producing them from primary raw materials. To achieve this, it is necessary to quickly and accurately determine the content of alloying elements in individual scrap elements. However, the copper-bearing scrap obtained at secondary raw materials collection points consists of elements with various surface conditions (due to contamination, shape, paint coatings, roughness, etc.). The paper contains research results on the influence of surface roughness
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Alexopoulos, Kosmas, Paolo Catti, Giannis Kanellopoulos, et al. "Deep Learning for Estimating the Fill-Level of Industrial Waste Containers of Metal Scrap: A Case Study of a Copper Tube Plant." Applied Sciences 13, no. 4 (2023): 2575. http://dx.doi.org/10.3390/app13042575.

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Advanced digital solutions are increasingly introduced into manufacturing systems to make them more intelligent. Intelligent Waste Management Systems in industries allow for data collection and analysis to make better-informed decisions, monitor and manage processes remotely, and improve waste management. In many industries, scrap is collected in large waste containers located on the factory floor, usually close to its source. In most cases, monitoring of waste containers’ fill levels is either manually performed by visual inspection by the operators working in close proximity or by employing
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Díaz-Romero, Dillam Jossue, Simon Van den Eynde, Wouter Sterkens, et al. "Simultaneous mass estimation and class classification of scrap metals using deep learning." Resources, Conservation and Recycling 181 (June 2022): 106272. http://dx.doi.org/10.1016/j.resconrec.2022.106272.

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Hagen, Markus, Josef Quan Ngyuen, David Hui Shyan Lau, Eran Nave, and Jens Tübke. "Automated Data Gathering, Classification, Standardization and Evaluation Connected with AI in Smart Li-ion Battery Cell Production." ECS Meeting Abstracts MA2022-01, no. 2 (2022): 450. http://dx.doi.org/10.1149/ma2022-012450mtgabs.

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The production of lithium-ion batteries is characterized by high scrap rates. With material costs of 70-80% of the cell price, these are a significant cost factor. By using AI, correlations of process data and cell properties can be determined and particularly quality-relevant process steps can be identified. However, the prerequisite for the use of AI is a clean collection, description and allocation of data which is very time-consuming. In the BMBF-funded projects “KontElPro”, for solvent-free electrode production and “AgiloBat2”, for the agile production of format-flexible cells, software i
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Choi, Jung-Wan, and Kwang-Sup Shin. "A Study on the Risk Identification and Management of Global Supply Chain Risks : Focusing on the Domestic Steel Industries." Korean Logistics Research Association 35, no. 1 (2025): 71–84. https://doi.org/10.17825/klr.2025.35.1.71.

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Recently, as uncertainty and vulnerability in the global supply chain have increased, it is necessary to identify risks and establish countermeasures considering the structure of the global supply chain. In particular, it is important to apply a risk management system and establish a response strategy for the steel industries among the various industries exposed to changes in the supply and demand of raw materials and the market environment. This study divided the domestic steel industry into four stages from the SCM perspective: procurement management, production management, inventory managem
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Díaz-Romero, Dillam, Simon Van den Eynde, Isiah Zaplana, et al. "Classification of aluminum scrap by laser induced breakdown spectroscopy (LIBS) and RGB + D image fusion using deep learning approaches." Resources, Conservation and Recycling 190 (March 2023): 106865. http://dx.doi.org/10.1016/j.resconrec.2023.106865.

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Pandey, Aavash Raj, Mahdi Seify, Udoka Okonta, and Amin Hosseinian-Far. "Advanced Sentiment Analysis for Managing and Improving Patient Experience: Application for General Practitioner (GP) Classification in Northamptonshire." International Journal of Environmental Research and Public Health 20, no. 12 (2023): 6119. http://dx.doi.org/10.3390/ijerph20126119.

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This paper presents a novel analytical approach for improving patients’ experience in healthcare settings. The analytical tool uses a classifier and a recommend management approach to facilitate decision making in a timely manner. The designed methodology comprises of 4 key stages, which include developing a bot to scrap web data while performing sentiment analysis and extracting keywords from National Health Service (NHS) rate and review webpages, building a classifier with Waikato Environment for Knowledge Analysis (WEKA), analyzing speech with Python, and using Microsoft Excel for analysis.
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Hind, Khogali. "Process for Sustainable Solid Waste Management in Tuti Island, Sudan, during Nile Flood Season; Comparison with International Standards Khogali Hind1." Journal of Sustainable Development 16, no. 1 (2023): 107. http://dx.doi.org/10.5539/jsd.v16n1p107.

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Tuti Island is at the confluence of the White and Blue Niles and lies at the center of Greater Khartoum. The solid waste volume from houses is estimated at 20 tons, which has a significant impact on human health, the environment, and climate change.
 
 This study aims to investigate the process of solid waste management on Tuti Island. Solid waste includes food remains, construction debris, wood, scrap iron, discarded furniture, and collecting and reusing flood and rainwater International standards state that the solid waste disposal process passes through specific stages.
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Thuan, Le Ngoc, Vu Thi Mai, Pham Thi Hong Phuong, and Bui Duc Tan. "METHOD OF COLLECTING DOMESTIC SOLID WASTE IN THE URBANIZATION PROCESS IN NAM TU LIEM DISTRICT, HANOI CITY." Tạp chí khoa học Tài nguyên và Môi trường, no. 54 (December 25, 2024): 119–27. https://doi.org/10.63064/khtnmt.2024.645.

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Nam Tu Liem district is a newly established district of Hanoi city, the urbanization process is taking place rapidly, and urban facilities and infrastructure are being developed, on the other hand, it also creates pressure on the environment, increasing the amount of solid waste. This study aims to understand the changes in the management and collection methods of domestic solid waste in residential areas, during the urbanization process. The study uses the field survey method, collects information from residents and management agencies, conducts analysis, and evaluates the effectiveness of wa
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Le, Thi Van, Sebastien Michael Rene Dente, and Seiji Hashimoto. "Contemporary and Future Secondary Copper Reserves of Southeast Asian Countries." Recycling 9, no. 6 (2024): 116. https://doi.org/10.3390/recycling9060116.

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This study employed dynamic material flow analysis (MFA) and mass balance principles to examine copper flows in Indonesia, Malaysia, the Philippines, Thailand, and Vietnam from 1960 to 2020, with projections extending to 2050 using five shared socioeconomic pathway (SSP) scenarios. We applied the secondary resources classification framework to assess secondary copper resources and their recoverability in these countries. The results indicated that total copper stocks across these countries would continue to rise, with Indonesia’s copper stock projected to reach around 5000–12,000 kt by 2050, t
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Tseng, Kun-San, Guang-Liang Sheu, and Shih Tsung Huang. "Management and Recycle of Magnesium Alloy Scraps in Die Casting Factory." Materials Science Forum 488-489 (July 2005): 49–52. http://dx.doi.org/10.4028/www.scientific.net/msf.488-489.49.

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Up to date, a reasonable and adequate process to treat magnesium scraps in die casting factory is not yet achieved, especially for middle or small scale die casters. Actually, many existing methods of handling magnesium scraps have met the level of technology for practical utilization requirement. Now, what we have to do is to propose a systematic handling process according to factory suitability and cost consideration. In this paper, the classification of magnesium scraps will be introduced first. Then the complementary storage methods and treatment methods for each type of scraps and recycle
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Correia, Jeferson, Ana Júlia Dal Forno, Cintia Marangoni, and José Alexandre Borges Valle. "Waste management system in the clothing industry in Santa Catarina State Brazil." Management of Environmental Quality: An International Journal 29, no. 4 (2018): 594–607. http://dx.doi.org/10.1108/meq-10-2017-0109.

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Purpose The purpose of this paper is to identify and diagnosis waste management practices used by clothing manufacturing companies in Santa Catarina state Brazil. Design/methodology/approach The data for this multiple case study were obtained from interviews and by using a questionnaire to collect company data. After the analysis of the responses to questionnaires issued to 22 companies, a scoring system was developed to systematically classify these companies at either a basic, intermediate or advanced levels. Findings According to the classification used, eight companies were characterized a
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Nasir, Israa, and Ghaidaa Abdul Aziz Al-Talib. "Waste Classification Using Artificial Intelligence Techniques:Literature Review." Technium: Romanian Journal of Applied Sciences and Technology 5 (January 26, 2023): 49–59. http://dx.doi.org/10.47577/technium.v5i.8345.

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waste is the total remnants of domestic, agricultural, industrial and productive human activities, all the trash left somewhere, the neglect of which threatens and harms public safety. Waste is divided into many types such as: Non-biodegradable waste, Hazardous waste, Industrial waste, Municipal solid waste, Agricultural waste.
 Organic waste: It is fermentable waste such as food scraps and garden waste. Inorganic waste: It is waste that does not contain organic compounds, such as plastic, metals, and clothes. Also Solid waste: like mineral or glass materials, and it results from domestic
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Kumawat, Devesh, Vivek Pravin Dave, Pradeep Venkatesh, et al. "Surgeon’s perceptions and preferences in the management of idiopathic macular hole." Indian Journal of Ophthalmology 73, Suppl 1 (2024): S83—S87. https://doi.org/10.4103/ijo.ijo_1617_24.

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Purpose: The management of idiopathic macular holes (iMH) has evolved over time with various modifications in surgical approach. The study aimed to survey the surgeons’ preferences in the management of iMH in current times. Design: Cross-sectional descriptive survey. Methods: A 12-item questionnaire addressing the key aspects of iMH management was sent, between October 2022 to November 2022, by personal correspondence to 104 vitreoretinal specialists, actively practicing and performing iMH surgeries at various institutes in India. The responses were gathered till January 2023 and analyzed as p
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Bonifazi, Giuseppe, Ludovica Fiore, Riccardo Gasbarrone, Pierre Hennebert, and Silvia Serranti. "Detection of Brominated Plastics from E-Waste by Short-Wave Infrared Spectroscopy." Recycling 6, no. 3 (2021): 54. http://dx.doi.org/10.3390/recycling6030054.

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In this work, the application of Short-Wave Infrared (SWIR: 1000–2500 nm) spectroscopy was evaluated to identify plastic waste containing brominated flame retardants (BFRs) using two different technologies: a portable spectroradiometer, providing spectra of single spots, and a hyperspectral imaging (HSI) platform, acquiring spectral images. X-ray Fluorescence (XRF) analysis was preliminarily performed on plastic scraps to analyze their bromine content. Chemometric methods were then applied to identify brominated plastics and polymer types. Principal Component Analysis (PCA) was carried out to
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Zanini, Monica, Uta Heiden, Leonardo Pace, Raffaele Casa, and Simone Priori. "Soil Reflectance Composite for Digital Soil Mapping in a Mediterranean Cropland District." Remote Sensing 17, no. 1 (2024): 89. https://doi.org/10.3390/rs17010089.

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Accurate soil maps are essential for soil protection, management, and digital agriculture. However, traditional soil maps often lack the detail required for local applications, while farm-scale surveys are often not economically viable. This study uses legacy soil data and digital soil mapping (DSM) to produce accurate, low-cost maps of key soil properties, namely clay, sand, total lime (CaCO3), organic carbon (SOC), total nitrogen (TN), and the cation-exchange capacity (CEC). The DSM procedure involved multivariate stepwise regression kriging that uses the terrain attributes and bare soil ref
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Puspawati, Eka, Hery Sawiji, and Cicilia Dyah Sulistyaningrum. "Pengelolaan arsip berdasarkan teori daur hidup arsip di Fakultas Keguruan dan Ilmu Pendidikan Universitas Sebelas Maret." JIKAP (Jurnal Informasi dan Komunikasi Administrasi Perkantoran) 8, no. 3 (2024): 310. http://dx.doi.org/10.20961/jikap.v8i3.81052.

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<p><strong>Abstrak:</strong> Penelitian ini bertujuan untuk: (1) Mendeskripsikan pengelolaan arsip dengan teori siklus hidup arsip (Life Cycle of Record). (2) Mengetahui hambatan dalam pengelolaan arsip. (3) Mengetahui upaya yang dilakukan untuk mengatasi hambatan pengelolaan arsip. Penelitian ini merupakan penelitian kualitatif yang dideskripsikan dalam bentuk data deskriptif. Subjek dalam penelitian ini yaitu Sub koordinator Akademik, Penata Arsip dan Pembantu Penata Arsip. Sumber data yang digunakan adalah informan, tempat dan peristiwa, serta arsip dan dokumen. Teknik pen
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Burkhardt, Carlo, Antje Lehmann, Benjamin Podmiljsak, and Spomenka Kobe. "A Systematic Classification and Labelling Approach to Support a Circular Economy Ecosystem for NdFeB-Type Magnet." Journal of Materials Science and Engineering B 10, Number 4, July-Aug. 2020 (Serial Number 64) (2020). https://doi.org/10.17265/2161-6221/2020.7-8.001.

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Availability of magnetic materials is most crucial for modern Europe, as they are integral to energy conversion across the renewable energy and electric mobility sectors. Unfortunately, there is still no circular economy to reuse and capture value for these types of materials. With the prediction that the need for NdFeB Rare Earth (RE) magnets will double in the next 10 years, this problem becomes even more urgent. As the quality of the recollected materials varies significantly, the development of a classification system for recyclate grades of EOL NdFeB magnets in combination with an eco-lab
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Shinkevich, A. I., and T. V. Malysheva. "Waste management for production of steel electric welding pipes using Data Mining technologies and MES systems." CIS Iron and Steel Review, December 29, 2020, 70–75. http://dx.doi.org/10.17580/cisisr.2020.02.15.

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The article is devoted to the study of environmental problems in the production of steel pipes and the rational use of waste. The relevance of the study lies in the high resource intensity and waste of pipe metallurgy, the classification of steel production and their subsequent redistribution as the first category of environmental hazard and is assigned to the areas of application of the best available technologies. The aim of the article is to analyze the resource intensity and waste production of steel pipes, to study the existing waste management system and its rationality at Russian enterp
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Schäfer, Michael, Ulrike Faltings, and Björn Glaser. "Machine learning approach for predicting tramp elements in the basic oxygen furnace based on the compiled steel scrap mix." Scientific Reports 15, no. 1 (2025). https://doi.org/10.1038/s41598-025-86406-z.

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Abstract In the blast furnace and basic oxygen furnace route, pig iron and steel scrap are used as resources for steel production. The scrap content can consist of many different types of scrap varying in origin and composition. This makes it difficult to compile the scrap mix and predict the future chemical analysis in the converter. When compiling the scrap mix, steel manufacturers often rely on experience and trials. In this paper, we present a machine learning approach based on XGBoost to predict the chemical element content in the converter. Data from around 115000 heats were analyzed and
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Thomas, Julia T., and Mahesh Kumar. "Design of Fuzzy Economic Order Quantity (EOQ) Model in the Presence of Inspection Errors in Single Sampling Plans." Journal of Reliability and Statistical Studies, April 16, 2022. http://dx.doi.org/10.13052/jrss0974-8024.1519.

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Inventory management is the core of the supply chain management system, in which the economic order quantity (EOQ) model is a fundamental inventory model. This paper develops a fuzzy EOQ model in the presence of inspection errors in single sampling plans. The model assumes probability of mis-classifications. An inventory system is hypothesized where the orders undergo acceptance sampling, back-orders are eliminated, and defectives are set aside from the inventory. Due to the presence of vagueness in real time data, the rate at which an order turn to be scrap, the costs of holding, and the back
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KUYUCUK, Tolga, and Levent ÇALLI. "Using Multi-Label Classification Methods to Analyze Complaints Against Cargo Services During the COVID-19 Outbreak: Comparing Survey-Based and Word-Based Labeling." Sakarya University Journal of Computer and Information Sciences, November 21, 2022. http://dx.doi.org/10.35377/saucis...1121830.

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This study investigates how cargo companies, with a significant market share in Turkey's service sector, managed their last-mile activities during the Covid-19 outbreak and suggests the solution to the adverse outcomes. The data used in the study included complaints made for cargo companies from an online complaint management website called sikayetvar.com from the start of the pandemic to the date of the research, which contained words related to the pandemic and was collected using Python language and the Scrapy module web scraping methods. Multilabel classification algorithms were used to ca
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