Showing 1 - 5 results of 5 for search '"New Year"', query time: 0.03s Refine Results
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    A NOVEL DATASET FOR VIETNAMESE NEW YEAR FOOD CLASSIFICATION by Duy Nguyen Vo, Van Tan Luu Ngo, Thi Phuong Vy Le, Nguyen Ngoc Huyen Van, Duc Anh Phuc Nguyen, Van Tuan Kiet Ngo, Thanh Thang Truong, Tan Tai Pham, Nhat Minh Dinh, Thai Ngoc Ho, Tan Tran Minh Khang Nguyen

    Published 2024-08-01
    “…We present the dataset UIT-TASTET21, which contains over 77,000 color images of 18 traditional Vietnamese Lunar New Year dishes. We have experimented with classification using feature vectors from network architectures such as VGG16, Inception-v3, ResNet-50, Xception, and MobileNet-v2 to train support vector machines (SVMs), meeting the dataset’s challenges and laying the groundwork for the development of many optimal methods in the future that promise scientific breakthroughs in the service and commercial industries. …”
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    New Challenges, New Ideas: Shaping Education in 2025 by Beatriz Amante García

    Published 2025-01-01
    “…We begin a new year with great enthusiasm and changes at JOTSE. …”
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    Impact of SARS-CoV-2 on Ambient Air Particulate Matter in Tehran by Sasan Faridi, Fatemeh Yousefian, Sadegh Niazi, Mohammad Rezvani Ghalhari, Mohammad Sadegh Hassanvand, Kazem Naddafi

    Published 2024-12-01
    “…Contrary to expectation, the average concentrations of both the PM2.5 and the PM10 were markedly higher during the former, increasing by 20.5% and 15.7%, respectively, for the first month of the outbreak (20 February–19 March 2020) and by 23.5% and 20.0% for the subsequent Nowruz New Year holidays (from late March till early April), which resulted in overall increases of 20.5% and 16.5% for the entire period. …”
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    Influence of Regional Pollution Outflow on Particle Number Concentration and Particle Size in Airshed of Guangzhou, South China by Hing Cho Cheung, Chengyu Nie, Mintao Huang, Tingting Yang, Hao Wang, Celine Siu Lan Lee, Chenglei Pei, Jun Zhao, Baoling Liang

    Published 2022-06-01
    “…Abstract A measurement campaign of particle number concentration and size distribution was conducted at urban (SYSU) and suburban (Panyu) areas of Guangzhou, South China, during 16 January to 3 February 2020 before and during the Chinese New Year (CNY) holiday. Average particle number concentration (PNC) was 6.3 × 103 cm–3 and 9.7 × 103 cm–3, respectively, at urban and suburban sites, indicating the severe particulate matter (PM) pollution. …”
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