{"product_id":"9781394257713","title":"Multimodal Intelligent Sensing in Modern Applications","description":"\u003ch1\u003eMultimodal Intelligent Sensing in Modern Applications\u003c\/h1\u003e\u003ch3\u003eMasood Ur Rehman | Ahmed Zoha | Muhammad Ali Jamshed | Naeem Ramzan\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Sensors\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eDiscover the design, implementation, and analytical techniques for multi-modal intelligent sensing in this cutting-edge text\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe Internet of Things (IoT) is becoming ever more comprehensively integrated into everyday life. The intelligent systems that power smart technologies rely on increasingly sophisticated sensors in order to monitor inputs and respond dynamically. Multi-modal sensing offers enormous benefits for these technologies, but also comes with greater challenges; it has never been more essential to offer energy-efficient, reliable, interference-free sensing systems for use with the modern Internet of Things. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eMultimodal Intelligent Sensing in Modern Applications\u003c\/i\u003e provides an introduction to systems which incorporate multiple sensors to produce situational awareness and process inputs. It is divided into three parts—physical design aspects, data acquisition and analysis techniques, and security and energy challenges—which together cover all the major topics in multi-modal sensing. The result is an indispensable volume for engineers and other professionals looking to design the smart devices of the future. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eMultimodal Intelligent Sensing in Modern Applications\u003c\/i\u003e readers will also find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eContributions from multidisciplinary contributors in wireless communications, signal processing, and sensor design\u003c\/li\u003e \u003cli\u003eCoverage of both software and hardware solutions to sensing challenges\u003c\/li\u003e \u003cli\u003eDetailed treatment of advanced topics such as efficient deployment, data fusion, machine learning, and more\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eMultimodal Intelligent Sensing in Modern Applications\u003c\/i\u003e is ideal for experienced engineers and designers who need to apply their skills to Internet of Things and 5G\/6G networks. It can also act as an introductory text for graduate researchers into understanding the background, design, and implementation of various sensor types and data analytics tools.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eMasood Ur Rehman, PhD, MSc,\u003c\/b\u003e is a Senior Lecturer at the James Watt School of Engineering, University of Glasgow, UK and leads the Antennas \u0026amp; Radio-wave Propagation group. He received his MSc and PhD in Electronic Engineering from Queen Mary University of London, UK, in 2006 and 2010, respectively. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAhmed Zoha, PhD, MSc,\u003c\/b\u003e is a Senior Lecturer at the James Watt School of Engineering, University of Glasgow, UK and leads the Distributed Learning and Intelligence group. He received his PhD degree in Electrical and Electronic Engineering from the 5G Innovation Centre at the University of Surrey, UK, and his MSc in Communication Engineering from the Chalmers University of Technology, Sweden. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMuhammad Ali Jamshed, PhD, MSc,\u003c\/b\u003e is with University of Glasgow, UK, since 2021. He is a visiting Research Fellow at the University of Sussex. He is endorsed by the Royal Academy of Engineering under exceptional talent category and was nominated for the Departmental Prize for Excellence in Research in 2019 at the University of Surrey. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eNaeem Ramzan, PhD,\u003c\/b\u003e is a Full Professor in Computing Engineering and Chair of Affective and Human Computing for Smart Environment Research Centre and Co-lead of Visual Communication Cluster in AVCN at the University of the West of Scotland, Paisley, UK. He received his PhD in Electronic Engineering from Queen Mary University of London, UK in 2008.  \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e22 January 2025\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394257713\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e320\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e24.64\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44315354759308,"sku":"9781394257713","price":139.45,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394257713.jpg?v=1780284190","url":"https:\/\/lateknightbooks.com\/products\/9781394257713","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}