{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T08:57:59Z","timestamp":1785488279602,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T00:00:00Z","timestamp":1765929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,12,17]]},"DOI":"10.1145\/3774521.3774608","type":"proceedings-article","created":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T07:34:24Z","timestamp":1785483264000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Milk or mimic? MilkNet: Spectral\u2013Spatial Fusion Net for Brand Authentication in Commercial Milk Products Using Hyperspectral Imaging"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-1387-249X","authenticated-orcid":false,"given":"Padmasri","family":"P","sequence":"first","affiliation":[{"name":"Department of ECE, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2670-4340","authenticated-orcid":false,"given":"Sathya Bama","family":"B","sequence":"additional","affiliation":[{"name":"Thiagarajar College of Engineering, Madurai, Tamil Nadu, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5806-278X","authenticated-orcid":false,"given":"Mohamed Mansoor Roomi","family":"Sindha","sequence":"additional","affiliation":[{"name":"Thiagarajar College of Engineering, Madurai, Tamil Nadu, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,31]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","unstructured":"Chengcheng; Liang Sha; Lu Mei; Wang Ping; Li\u00a0Zhicheng Chang Shuyi;\u00a0Yin. 2020. Confirmation of brand identification in infant formulas by using near-infrared spectroscopy fingerprints. Analytical Methods 12 19 (2020) 2469\u20132475. doi: 10.1039\/D0AY00375A","DOI":"10.1039\/D0AY00375A"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","unstructured":"Y.\u00a0He D.\u00a0Wu S.\u00a0Feng. 2008. Short-Wave Near-Infrared Spectroscopy of Milk Powder for Brand Identification and Component Analysis. Journal of Dairy Science 91 3 (2008) 939\u2013949. 10.3168\/jds.2007-0640","DOI":"10.3168\/jds.2007-0640"},{"key":"e_1_3_3_2_4_2","volume-title":"Court slaps INR\u00a01 crore fine on private dairy for copying branding","author":"Express The New\u00a0Indian","year":"2025","unstructured":"The New\u00a0Indian Express. 2025. Court slaps INR\u00a01 crore fine on private dairy for copying branding. Retrieved August 2, 2025 from https:\/\/www.newindianexpress.com\/cities\/thiruvananthapuram\/2025\/Jun\/20\/court-slaps-rs-1-crore-fine-on-private-dairy-for-copying-milma-branding"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","unstructured":"Ospanov A. Dikhanbayeva F. et\u00a0al Iztileuov M.2024. Quality and safety of new types of dairy products based on cow\u2019s and mare\u2019s milk with vegetable additives. Food Production Processing and Nutrition 42 6 (2024). 10.1186\/s43014-023-00218-0","DOI":"10.1186\/s43014-023-00218-0"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"publisher","unstructured":"Dehghan K. Esfandiari Z. Joolaei Ahranjani\u00a0P Joolaei\u00a0Ahranjani P.2025. A Systematic Review of Spectroscopic Techniques for Detecting Milk Adulteration. Critical Reviews in Analytical Chemistry 20 (2025) 1\u201332. 10.1080\/10408347.2025.2477535","DOI":"10.1080\/10408347.2025.2477535"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","unstructured":"Xiaoxiao Ma Ruinan Wang Haifeng Sima Jianlong\u00a0Wang Junding\u00a0Sun Hongyuan\u00a0Zhang. 2025. Spectral\u2013Spatial Adaptive Weighted Fusion and Residual Dense Network for hyperspectral image classification. The Egyptian Journal of Remote Sensing and Space Sciences 28 1 (2025). 10.1016\/j.ejrs.2024.11.001","DOI":"10.1016\/j.ejrs.2024.11.001"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","unstructured":"L.\u00a0Zhang C.\u00a0Gao K.\u00a0Xu Y.\u00a0Zhao and H. Huang. 2022. Spectral\u2013Spatial Residual Graph Attention Network for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters 19 (2022). doi: 10.1109\/LGRS.2021.3111985","DOI":"10.1109\/LGRS.2021.3111985"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Munir M.T. Yu W. et\u00a0al. Khan A.2020. A Review Towards Hyperspectral Imaging for Real-Time Quality Control of Food Products with an Illustrative Case Study of Milk Powder Production. Food and Bioprocess Technology 13 (2020). 10.1007\/s11947-020-02433-w","DOI":"10.1007\/s11947-020-02433-w"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","unstructured":"Bennamoun M. Boussaid F. Sohel F. &\u00a0Edwards Khotimah W.\u00a0N.2020. A High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small Training Data. Remote Sensing 12 19 (2020). 10.3390\/rs12193137","DOI":"10.3390\/rs12193137"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","unstructured":"Md. Saiful\u00a0Islam Kwabena\u00a0Sarpong Mohammad\u00a0Awrangjeb. 2025. Dual spectral-spatial residual adaptive network for hyperspectral image classification in the presence of noisy labels. Engineering Applications of Artificial Intelligence 142 (2025). 10.1016\/j.engappai.2024.109900","DOI":"10.1016\/j.engappai.2024.109900"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0Iqbal M.\u00a0Aqeel A.\u00a0Sohaib and S.\u00a0S. Ullah. 2024. Hyperspectral Identification of Milk Adulteration Using Advance Deep Learning. IEEE Access 12 (2024). doi: 10.1109\/ACCESS.2024.3504334","DOI":"10.1109\/ACCESS.2024.3504334"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","unstructured":"Gu\u00a0Y. Zhang J. & Zhang\u00a0L Mu F.2020. Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques. Sensors 20 15 (2020) 475\u2013481. 10.3390\/s20154238","DOI":"10.3390\/s20154238"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","unstructured":"Katsutoshi Yada Tomomichi\u00a0Suzuki Natsuki\u00a0Sano Syusuke\u00a0Tamura. 2014. Evaluation of Price Elasticity and Brand Loyalty in Milk Products. Procedia Computer Science 35 3 (2014) 1482\u20131487. 10.1016\/j.procs.2014.08.213","DOI":"10.1016\/j.procs.2014.08.213"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","unstructured":"O\u2019Donnell Colm P. Luo Jiani Gowen Aoife\u00a0A. N\u00ed\u00a0Fhuar\u00e1in \u00c1ine\u00a0M. 2024. A Review on MIR NIR Fluorescence and Raman Spectroscopy Combined with Chemometric Modeling to Predict the Functional Properties of Raw Bovine Milk. ACS Food Science & Technology 4 (2024). doi: 10.1021\/acsfoodscitech.4c00130","DOI":"10.1021\/acsfoodscitech.4c00130"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","unstructured":"Jana\u00edna Balk\u00a0Brand\u00e3o Raquel\u00a0Breitenbach Heber\u00a0Rodrigues. 2018. Whose fault is it? Fraud scandal in the milk industry and its impact on product image and consumption \u2013 The case of Brazil. Food Research International 108 (2018) 475\u2013481. 10.1016\/j.foodres.2018.03.065","DOI":"10.1016\/j.foodres.2018.03.065"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Irham Sunardi J H\u00a0Mulyo and Jamhari. 2021. Behaviour of brand switching of milk product for young children aged 1\u20133 years in consumers of middle to lower socioeconomic class in urban communities in malang. (2021). 10.1088\/1755-1315\/905\/1\/012087","DOI":"10.1088\/1755-1315\/905\/1\/012087"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","unstructured":"&\u00a0Bogomolov\u00a0A. Surkova A.2023. Analysis of Milk Microstructure Using Raman Hyperspectral Imaging. Molecules 28 6 (2023). 10.3390\/molecules28062770","DOI":"10.3390\/molecules28062770"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","unstructured":"Weiping Kou Deng Zhang Zhenlin Hu Feng Chen Yanwu Chu Wen\u00a0Cheng Weihua\u00a0Huang Lianbo\u00a0Guo. 2022. Identification of adulterated milk powder based on convolutional neural network and laser-induced breakdown spectroscopy. Microchemical Journal 176 (2022). 10.1016\/j.microc.2022.107190","DOI":"10.1016\/j.microc.2022.107190"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","unstructured":"Z.\u00a0Luo Z.\u00a0Zhong J.\u00a0Li and M. Chapman. 2018. Spectral\u2013Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework. IEEE Transactions on Geoscience and Remote Sensing 56 (2018). doi: 10.1109\/TGRS.2017.2755542","DOI":"10.1109\/TGRS.2017.2755542"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","unstructured":"Shi XJ. Zhao YJ. et\u00a0al Zhang ZY.2022. Brand Identification of Soybean Milk Powder based on Raman Spectroscopy Combined with Random Forest Algorithm. Journal of Analytical Chemistry 77 (2022) 1282\u20131286. 10.1134\/S1061934822100173","DOI":"10.1134\/S1061934822100173"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","unstructured":"Fridrik Rafn\u00a0Larsen \u0160\u00e1rka Vel\u010dovsk\u00e1. 2007. The Impact of Brand on Consumer Preferences of Milk in Online Purchases: Conjoint Analysis Approach. Acta Universitatis Agriculturar et Silviculturae Mendelianae Brunensis 69 3 (2007) 345\u2013356. doi: 10.11118\/actaun.2021.032","DOI":"10.11118\/actaun.2021.032"}],"event":{"name":"ICVGIP 2025: Indian Conference on Computer Vision, Graphics, and Image Processing","location":"Mandi Himachal Pradesh India","acronym":"ICVGIP 2025"},"container-title":["Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774521.3774608","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T08:05:43Z","timestamp":1785485143000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774521.3774608"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,17]]},"references-count":21,"alternative-id":["10.1145\/3774521.3774608","10.1145\/3774521"],"URL":"https:\/\/doi.org\/10.1145\/3774521.3774608","relation":{},"subject":[],"published":{"date-parts":[[2025,12,17]]},"assertion":[{"value":"2026-07-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}