03639nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001000153072001600163072002300179072001500202245014500217250001800362264007200380300006500452336002600517337002600543338003600569347002400605490008900629505077400718520104101492650002002533650002402553650002202577650001402599650002902613650002002642650002402662650002202686650001402708650002902722700007902751710003402830773002602864776003602890776003602926776003602962830008902998856004603087978-981-97-5365-9DE-He21320251030113113.0cr nn 008mamaa240928s2024    si |    s    |||| 0|eng d  a97898197536597 a10.1007/978-981-97-5365-92doi 4aGE196 7aRNU2bicssc 7aSCI0260002bisacsh 7aRNU2thema10aSustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applicationsh[electronic resource] /cedited by V. Ajantha Devi.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aVII, 175 p. 81 illus., 73 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aContributions to Environmental Sciences & Innovative Business Technology,x2731-83110 aLeveraging IoT Based CNN for Streamlining Business Application -- Intelligent Electric Vehicles: Leveraging AI-IoT for Sustainable Mobility -- Internet of Things Enabled Deep Convolutional Neural Network Model for Breast Cancer Classification -- Application of Machine Learning in Cyber Security: A Technological Perceptive -- Statistical Surveillance for Host-based Intrusion Detection System (HIDS): An Intelligent System for Automation -- IoT for Healthcare: A Sustainable Approach -- A NOVEL TRUST BASED FRAMEWORK FOR SECURED VANETs IN FUTURE -- Big Data and IOT based Flood Monitoring using Deep Neural Network -- Role of Artificial Intelligence in Design & Implementation of Healthcare Web Based Application “Carefree Bharat” focusing Sustainable Development.  aThis book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery. 0aSustainability. 0aInternet of things. 0aMachine learning. 0aBig data. 0aArtificial intelligence.14aSustainability.24aInternet of Things.24aMachine Learning.24aBig Data.24aArtificial Intelligence.1 aDevi, V. Ajantha.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981975364208iPrinted edition:z978981975366608iPrinted edition:z9789819753673 0aContributions to Environmental Sciences & Innovative Business Technology,x2731-831140uhttps://doi.org/10.1007/978-981-97-5365-9