{"product_id":"computational-intelligence-techniques-for-green-smart-cities-9783030964313","title":"Computational Intelligence Techniques for Green Smart Cities","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book provides high-quality and original research on computational intelligence for green smart cities, improving decision-making and integrating transportation networks. It offers a relevant reference for students, researchers, engineers, and professionals. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 419 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 23 April 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive book delves into the realm of computational intelligence, specifically focusing on its applications in green smart cities. Over the past few years, the adoption of smart city technology has surged due to the successful development and deployment of Internet of Things (IoT) architectures. These technological advancements have significantly improved the quality of life for citizens in various sensitive areas of cities, including transportation, buildings, healthcare, education, environment, and security.\u003cbr\u003e\u003cbr\u003eComputational intelligence techniques and algorithms play a pivotal role in analyzing vast amounts of data to uncover recurring patterns. This information is invaluable in informing and improving decision-making at the municipal level, enabling the creation of smart and sustainable cities for their inhabitants. Machine intelligence empowers us to identify trends and patterns, which can be applied to enhance the efficiency of city systems. For instance, the smart city could optimize its transportation network by offering a better public transportation system tailored to meet the demand, thereby reducing personal vehicle usage and energy consumption. Models can also be employed to predict the consequences of changes, such as pedestrianizing a street or adding a bike lane, allowing cities to evaluate the potential impacts before implementing them. Moreover, cities can create 3D digital twins to test hypothetical projects and explore different scenarios before making final decisions.\u003cbr\u003e\u003cbr\u003eThis book comprises a collection of cutting-edge contributions from esteemed scientists and practitioners in the fields of machine intelligence and green smart cities. Its primary objective is to serve as a valuable reference for students, researchers, engineers, and professionals engaged in this domain or those seeking to gain a deeper understanding of its diverse aspects and explore the latest advancements in machine intelligence for green and sustainable smart city applications. By presenting state-of-the-art research and practical insights, this book contributes to the ongoing efforts to build smarter, more sustainable, and resilient cities of the future.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 658g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030964313\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44272397779194,"sku":"9783030964313","price":108.28,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_bb8f204e-cd51-44a2-bfaf-44bb2148cd3f.jpg?v=1686253274","url":"https:\/\/shulphink.com\/products\/computational-intelligence-techniques-for-green-smart-cities-9783030964313","provider":"Shulph Ink","version":"1.0","type":"link"}