{"title":"Xin Wang","description":null,"products":[{"product_id":"flame-retardant-polymeric-materials-taylor-francis-ltd-9781138295797-a-handbook-xin-wang","title":"Flame Retardant Polymeric Materials","description":"\u003cp\u003eDiscover the essential insights in \u003cstrong\u003eFlame Retardant Polymeric Materials\u003c\/strong\u003e by Xin Wang, published by Taylor \u0026amp; Francis Ltd in 2019. This authoritative text spans 338 pages, delivering a thorough exploration of flame retardant technologies. It covers fundamental properties and mechanisms of action for flame retardants, while also delving into innovative methods, materials, and their industrial applications. Whether you are a researcher, engineer, or industry professional, this book serves as a vital resource for understanding the advancements in fireproofing and polymer science. 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The conference, held online due to the COVID-19 pandemic, showcases significant advancements in Big Data Analytics, making it an essential read for professionals and enthusiasts alike. Dive into the latest research and trends that are shaping the future of web and big data technologies. 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With 386 pages of in-depth research, this book presents 24 meticulously selected full papers, showcasing the latest advancements in semantic technology. These papers were chosen from a competitive pool of 70 submissions, ensuring that only the most relevant and impactful studies are included. 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This comprehensive volume features the thoroughly refereed proceedings of the 9th Joint International Semantic Technology Conference (JIST 2019), which took place in Hangzhou, China, in November 2019. With a total of 230 pages, this book presents 12 full papers and 12 short papers, all meticulously reviewed and selected from an impressive 70 submissions. Ideal for researchers and professionals in the field, \"Semantic Technology\" delves into the latest advancements and applications of semantic technologies, making it a valuable addition to your academic library. 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The book is meticulously structured into 11 chapters, each dedicated to addressing critical analysis and design challenges associated with these advanced neural systems. Perfect for researchers and practitioners alike, this resource provides essential knowledge for navigating the intricate world of delayed neural networks. 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