Artigos de revistas sobre o tema "Textile industry – Classification"
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Hermawan, Iwan. "ANALYSIS OF THE IMPACT OF MACROECONOMIC POLICIES ON TEXTILE INDUSTRY AND ITS PRODUCTS IN INDONESIA". Buletin Ekonomi Moneter dan Perbankan 13, n.º 4 (28 de junho de 2011): 357–90. http://dx.doi.org/10.21098/bemp.v13i4.398.
Texto completo da fonteHarmsen, Paulien, Michiel Scheffer e Harriette Bos. "Textiles for Circular Fashion: The Logic behind Recycling Options". Sustainability 13, n.º 17 (30 de agosto de 2021): 9714. http://dx.doi.org/10.3390/su13179714.
Texto completo da fonteAngelova, Yordanka, Silvija Mežinska e Lyubomir Lazov. "INNOVATIVE LASER TECHNOLOGY IN TEXTILE INDUSTRY: MARKING AND ENGRAVING". Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (15 de junho de 2017): 15. http://dx.doi.org/10.17770/etr2017vol3.2610.
Texto completo da fonteZhang, Jianlei, Lin He e Longdi Cheng. "Is China’s Textile Industry Still a Labour-Intensive Industry?" Fibres and Textiles in Eastern Europe 29, n.º 1(145) (28 de fevereiro de 2021): 13–16. http://dx.doi.org/10.5604/01.3001.0014.5038.
Texto completo da fonteRiba, Jordi-Roger, Rosa Cantero, Pol Riba-Mosoll e Rita Puig. "Post-Consumer Textile Waste Classification through Near-Infrared Spectroscopy, Using an Advanced Deep Learning Approach". Polymers 14, n.º 12 (17 de junho de 2022): 2475. http://dx.doi.org/10.3390/polym14122475.
Texto completo da fonteYao, Gui Fen. "Quality Evaluation for Automobile Seat Woven Fabric". Advanced Materials Research 1004-1005 (agosto de 2014): 1427–31. http://dx.doi.org/10.4028/www.scientific.net/amr.1004-1005.1427.
Texto completo da fonteCao, Fei, Jian Ping Shi, Xian Yan Liu e Chang Sheng Zhang. "Modern Home Textiles Database Query System". Advanced Materials Research 175-176 (janeiro de 2011): 398–401. http://dx.doi.org/10.4028/www.scientific.net/amr.175-176.398.
Texto completo da fonteLiu, Zhengdong, Wenxia Li e Zihan Wei. "Qualitative classification of waste textiles based on near infrared spectroscopy and the convolutional network". Textile Research Journal 90, n.º 9-10 (5 de novembro de 2019): 1057–66. http://dx.doi.org/10.1177/0040517519886032.
Texto completo da fonteLysova, Marina A., Lyudmila V. Dryagina, Natalia A. Gruzintseva e Boris N. Gusev. "UNIFICATION OF THE CODING SYSTEM TEXTILE PRODUCTS". Technologies & Quality 53, n.º 3 (28 de outubro de 2021): 24–29. http://dx.doi.org/10.34216/2587-6147-2021-3-53-24-29.
Texto completo da fonteLee, So Young, Hye Seon Jeong, Yoon Sung Choi e Choong Kwon Lee. "Textile material classification in clothing images using deep learning". Korean Institute of Smart Media 12, n.º 7 (31 de agosto de 2023): 43–51. http://dx.doi.org/10.30693/smj.2023.12.7.43.
Texto completo da fonteAbdulla e Shiv Kumar. "Technical efficiency and its determinants in the Indian textile garments industry". Research Journal of Textile and Apparel 25, n.º 4 (5 de maio de 2021): 346–60. http://dx.doi.org/10.1108/rjta-09-2020-0110.
Texto completo da fonteZhu, Xiangmei, Bin Zhang e Hui Yuan. "Digital economy, industrial structure upgrading and green total factor productivity——Evidence in textile and apparel industry from China". PLOS ONE 17, n.º 11 (4 de novembro de 2022): e0277259. http://dx.doi.org/10.1371/journal.pone.0277259.
Texto completo da fonteSandhya, NC, Nihal Mathew Sashikumar, M. Priyanka, Sebastian Maria Wenisch e Kunaraj Kumarasamy. "Automated Fabric Defect Detection and Classification: A Deep Learning Approach". Textile & Leather Review 4 (14 de dezembro de 2021): 315–35. http://dx.doi.org/10.31881/tlr.2021.24.
Texto completo da fonteHodge, George, e Christine Cagle. "BUSINESS-TO-BUSINESS E-BUSINESS MODELS: CLASSIFICATION AND TEXTILE INDUSTRY IMPLICATIONS". AUTEX Research Journal 4, n.º 4 (1 de dezembro de 2004): 211–27. http://dx.doi.org/10.1515/aut-2004-040407.
Texto completo da fonteBeljadid, Aafaf, Adil Tannouche e Abdessamad Balouki. "Fabric defect classification using transfer learning and deep learning". IAES International Journal of Artificial Intelligence (IJ-AI) 12, n.º 3 (1 de setembro de 2023): 1378. http://dx.doi.org/10.11591/ijai.v12.i3.pp1378-1385.
Texto completo da fontePrasetyani, Dwi, Ali Zainal Abidin, Nanda Adhi Purusa e Fahrein All Sandra. "The Prospects and The Competitiveness of Textile Commodities and Indonesian Textile Product in the Global Market". ETIKONOMI 19, n.º 1 (22 de março de 2020): 1–18. http://dx.doi.org/10.15408/etk.v19i1.12886.
Texto completo da fonteClark, Don P., e Kathleen Rees. "Intra-Industry Specialization in Textiles and Apparel". Global Economy Journal 6, n.º 4 (23 de novembro de 2006): 1850098. http://dx.doi.org/10.2202/1524-5861.1202.
Texto completo da fonteKhalil, Samina. "Relative Efficiency of Decision Making Units Producing Both Desirable and Undesirable Outputs: A Case of Textile Processing Units in Pakistan." Pakistan Development Review 50, n.º 4II (1 de dezembro de 2011): 685–98. http://dx.doi.org/10.30541/v50i4iipp.685-698.
Texto completo da fonteAshraf, Rehan, Yasir Ijaz, Muhammad Asif, Khurram Zeeshan Haider, Toqeer Mahmood e Muhammad Owais. "Classification of Woven Fabric Faulty Images Using Convolution Neural Network". Mathematical Problems in Engineering 2022 (27 de agosto de 2022): 1–16. http://dx.doi.org/10.1155/2022/2573805.
Texto completo da fonteSousa, Ana Rita, Renata Matos, José R. M. Barbosa, O. Salomé G. P. Soares, João Ferreira, Gilda Santos, Augusta Silva et al. "Scalable Flexible Electromagnetic Interference Shielding Textiles Based on MWCNTs and PEDOT:PSS". Solid State Phenomena 333 (10 de junho de 2022): 161–69. http://dx.doi.org/10.4028/p-t2u2zu.
Texto completo da fonteTAO, PENG, CAO WENLI, CHEN JIA, LV XINGHANG, ZHANG ZILI, LIU JUNPING e HU XINRONG. "Research on fabric classification based on graph neural network". Industria Textila 74, n.º 01 (28 de fevereiro de 2023): 3–11. http://dx.doi.org/10.35530/it.074.01.202224.
Texto completo da fonteZhu, Yaolin, Jiameng Duan e Tong Wu. "Animal fiber imagery classification using a combination of random forest and deep learning methods". Journal of Engineered Fibers and Fabrics 16 (janeiro de 2021): 155892502110093. http://dx.doi.org/10.1177/15589250211009333.
Texto completo da fonteDas, Subrata, Sundaramurthy S, Aiswarya M e Suresh Jayaram. "Deep Learning Convolutional Neural Network for Defect Identification and Classification in Woven Fabric". Indian Journal of Artificial Intelligence and Neural Networking 1, n.º 2 (10 de abril de 2021): 9–13. http://dx.doi.org/10.35940/ijainn.b1011.041221.
Texto completo da fonteDas, Subrata, Sundaramurthy S, Aiswarya M e Suresh Jayaram. "Deep Learning Convolutional Neural Network for Defect Identification and Classification in Woven Fabric". Indian Journal of Artificial Intelligence and Neural Networking 1, n.º 2 (10 de abril de 2021): 9–13. http://dx.doi.org/10.54105/ijainn.b1011.041221.
Texto completo da fonteSantikarama, Irma, Faiza Renaldi, Fatan Kasyidi e Agya Java Maulidin. "Use Case Framework of Computerized Production Monitoring Processes in Textile Industry". Journal of Applied Informatics and Computing 6, n.º 1 (26 de abril de 2022): 31–39. http://dx.doi.org/10.30871/jaic.v6i1.3977.
Texto completo da fonteLu, Sheng. "What Will Happen to the US Textile and Apparel Industry if the NAFTA Goes?" Margin: The Journal of Applied Economic Research 12, n.º 2 (12 de abril de 2018): 113–37. http://dx.doi.org/10.1177/0973801018754624.
Texto completo da fonteHasan, Syed Mehmood, Muhammad Asad Ali e Satya Shah. "Inventory Management System for a General Items Warehouse of the Textile Industry". International Journal of Applied Sciences & Development 2 (29 de agosto de 2023): 101–10. http://dx.doi.org/10.37394/232029.2023.2.11.
Texto completo da fonteAlviari, Luana Putri, Merlina Fitri Anggamawarti, Yudistira Sanjiwani e Victor Yuardi Risonarta. "Classification of Impact Damage on A Rubber-Textile Conveyor Belt: A Review". International Journal of Mechanical Engineering Technologies and Applications 1, n.º 1 (27 de janeiro de 2020): 21. http://dx.doi.org/10.21776/mechta.2020.001.01.4.
Texto completo da fonteZeshan, Muhammad. "A Practical Narrative of Tariff Protection in Pakistan". Global Trade and Customs Journal 18, Issue 1 (1 de janeiro de 2023): 37–45. http://dx.doi.org/10.54648/gtcj2023004.
Texto completo da fonteSeçkin, Mine, Ahmet Çağdaş Seçkin, Pinar Demircioglu e Ismail Bogrekci. "FabricNET: A Microscopic Image Dataset of Woven Fabrics for Predicting Texture and Weaving Parameters through Machine Learning". Sustainability 15, n.º 21 (24 de outubro de 2023): 15197. http://dx.doi.org/10.3390/su152115197.
Texto completo da fonteLee, Khai-Loon. "Supply Chain Technology Adoption: Its Clarification, Evolution, Classification, and Practicality in Textile and Apparel Industry". International Journal of Business and Economics Research 3, n.º 6 (2014): 15. http://dx.doi.org/10.11648/j.ijber.s.2014030601.13.
Texto completo da fonteGnanaprakash V, Et al. "Novel MobileNet based Multipath Convolutional Neural Network for defect detection in fabrics". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 9 (5 de novembro de 2023): 2417–23. http://dx.doi.org/10.17762/ijritcc.v11i9.9308.
Texto completo da fonteZiyeh, Paula, e Marco Cinelli. "A Framework to Navigate Eco-Labels in the Textile and Clothing Industry". Sustainability 15, n.º 19 (25 de setembro de 2023): 14170. http://dx.doi.org/10.3390/su151914170.
Texto completo da fonteSelvarasi, A. "Enhancing fabric quality control: Implementing real-time defect detection with image processing techniques and arduino". i-manager’s Journal on Image Processing 10, n.º 4 (2023): 37. http://dx.doi.org/10.26634/jip.10.4.20194.
Texto completo da fonteHussain, Ijaz. "Growth and Financing Behaviour of Firms of Textile Industry in Pakistan: A Panel Data Analysis." Pakistan Development Review 50, n.º 4II (1 de dezembro de 2011): 699–714. http://dx.doi.org/10.30541/v50i4iipp.699-714.
Texto completo da fonteFurferi, Rocco, e Michaela Servi. "A Machine Vision-Based Algorithm for Color Classification of Recycled Wool Fabrics". Applied Sciences 13, n.º 4 (14 de fevereiro de 2023): 2464. http://dx.doi.org/10.3390/app13042464.
Texto completo da fonteNugroho, Emmanuel Agung, Diki Mulyadi e Nanang Roni wibowo. "Sistem Klasifikasi Citra untuk Proses Inspeksi Kain Menggunakan Teachable Machine dan Raspberry Pi". Jurnal Teknologika 14, n.º 1 (31 de maio de 2024): 49–60. http://dx.doi.org/10.51132/teknologika.v14i1.368.
Texto completo da fonteCorreia, Jeferson, Ana Júlia Dal Forno, Cintia Marangoni e José Alexandre Borges Valle. "Waste management system in the clothing industry in Santa Catarina State Brazil". Management of Environmental Quality: An International Journal 29, n.º 4 (11 de junho de 2018): 594–607. http://dx.doi.org/10.1108/meq-10-2017-0109.
Texto completo da fonteMahmood, Tariq. "Effects of Input Composition on Technical Efficiencies of Textile Industries in Pakistan". Pakistan Development Review 51, n.º 2 (1 de junho de 2012): 117–30. http://dx.doi.org/10.30541/v51i2pp.117-130.
Texto completo da fonteAndalia, Debbi, e Kurniawati Kurniawati. "Sustainable Textile Practices by Integrated Viscose Rayon and Yarn Producers: An Empirical Study". GATR Journal of Finance and Banking Review Vol. 8 (1) APRIL - JUNE 2023 8, n.º 1 (29 de junho de 2023): 28–42. http://dx.doi.org/10.35609/jfbr.2023.8.1(1).
Texto completo da fonteOh, Jungmi. "Analysis of Clothes and Textile Waste Classification System to Facilitate a Circular Economy in the Fashion Industry". Journal of the Korean Society of Costume 73, n.º 4 (31 de agosto de 2023): 1–15. http://dx.doi.org/10.7233/jksc.2023.73.4.001.
Texto completo da fonteBoykov, Alexey V., Valentin M. Nikonorov, Dmitry A. Luchin e Igor V. Ilin. "Neural network approach for detection of defects “weft crack” and “water damage” in textile fabrics". Journal Of Applied Informatics 19, n.º 2 (29 de abril de 2024): 55–66. http://dx.doi.org/10.37791/2687-0649-2024-19-2-55-66.
Texto completo da fonteAktar, Mst Afroja. "Green Insights of Textile Industry in Bangladesh: A Case Study on Mozart Knitting Ltd." Global Disclosure of Economics and Business 3, n.º 1 (30 de junho de 2014): 93–108. http://dx.doi.org/10.18034/gdeb.v3i1.176.
Texto completo da fonteAbid, Sabeur. "Texture defect detection by using polynomial interpolation and multilayer perceptron". Journal of Engineered Fibers and Fabrics 14 (janeiro de 2019): 155892501882527. http://dx.doi.org/10.1177/1558925018825272.
Texto completo da fonte., Zia Ur Rehman. "Impact of Macroeconomic Variables on Capital Structure Choice: A Case of Textile Industry of Pakistan". Pakistan Development Review 55, n.º 3 (1 de setembro de 2016): 227–39. http://dx.doi.org/10.30541/v55i3pp.227-239.
Texto completo da fonteChen, Ran. "An empirical study of COVID-19's stock returns to the whole industry in the US stock market". Advances in Economics and Management Research 1, n.º 1 (18 de maio de 2022): 166. http://dx.doi.org/10.56028/aemr.1.1.166.
Texto completo da fonteChen, Chun, Xiaoyan Deng, Zhuliang Yu e Zhengtao Wu. "Fabric Defect Detection Using a One-class Classification Based on Depthwise Separable Convolution Autoencoder". Journal of Physics: Conference Series 2562, n.º 1 (1 de agosto de 2023): 012053. http://dx.doi.org/10.1088/1742-6596/2562/1/012053.
Texto completo da fontePaksoy, H. Mustafa, Yakup Durmaz, B. Dilek Özbezek e Filiz Çopuroğlu. "The mediating role of organizational commitment in the relationship between internal marketing and job performance: Application in Turkiye". Journal of Economics and Management 46 (2024): 111–42. http://dx.doi.org/10.22367/jem.2024.46.05.
Texto completo da fonteKim, Hye Jin, Seonyoung Youn, Jeein Choi, Hyeonji Kim, Myounghee Shim e Changsang Yun. "Indexing surface smoothness and fiber softness by sound frequency analysis for textile clustering and classification". Textile Research Journal 91, n.º 1-2 (29 de junho de 2020): 200–218. http://dx.doi.org/10.1177/0040517520935211.
Texto completo da fonteWan, Caiyu, e Zhenlong Hu. "Development and Prospect of Automatic Inspection System for Fabric Defects". Academic Journal of Science and Technology 3, n.º 3 (22 de novembro de 2022): 215–17. http://dx.doi.org/10.54097/ajst.v3i3.2985.
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