02592nam 2200565Ia 450 991078532700332120230725025734.01-282-94402-997866129440240-470-97814-70-470-97815-5(CKB)2670000000059487(EBL)644958(OCoLC)700706047(SSID)ssj0000442583(PQKBManifestationID)11328748(PQKBTitleCode)TC0000442583(PQKBWorkID)10453510(PQKB)11708836(MiAaPQ)EBC644958(EXLCZ)99267000000005948720100830d2011 uy 0engur|n|---|||||txtccrSold on language[electronic resource] how advertisers talk to you and what this says about you /Julie Sedivy, Greg CarlsonChichester, West Sussex ;Malden, MA Wiley-Blackwell20111 online resource (331 p.)Description based upon print version of record.0-470-68309-0 Includes bibliographical references and index.Sold on Language: How Advertisers Talk to You and What This Says About You; Contents; About the Authors; Preface; 1 The Power of Choice; 2 The Unconscious Consumer; 3 The Attentional Arms Race; 4 We Know What You're Thinking; 5 Why Ads Don't Say What They Mean (Or Mean What They Say); 6 Acting Out; 7 Divide and Conquer; 8 The Politics of Choice; Sources; IndexAs citizens of capitalist, free-market societies, we tend to celebrate choice and competition. However, in the 21st century, as we have gained more and more choices, we have also become greater targets for persuasive messages from advertisers who want to make those choices for us. In Sold on Language, noted language scientists Julie Sedivy and Greg Carlson examine how rampant competition shapes the ways in which commercial and political advertisers speak to us. In an environment saturated with information, advertising messages attempt to compress as much persuasive power inAdvertisingLanguageAdvertisingAdvertisingLanguage.Advertising.302.23659.101/4Sedivy Julie1475558Carlson Greg N.1948-1475559MiAaPQMiAaPQMiAaPQBOOK9910785327003321Sold on language3689791UNINA04047nam 22007455 450 991068335260332120251009075045.09789811988141(electronic bk.)978981198813410.1007/978-981-19-8814-1(MiAaPQ)EBC7219051(Au-PeEL)EBL7219051(OCoLC)1373984434(DE-He213)978-981-19-8814-1(PPN)269094717(CKB)26309460200041(EXLCZ)992630946020004120230323d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierConvolutional Neural Networks for Medical Applications /by Teik Toe Teoh1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (103 pages)SpringerBriefs in Computer Science,2191-5776Print version: Teoh, Teik Toe Convolutional Neural Networks for Medical Applications Singapore : Springer Singapore Pte. Limited,c2023 9789811988134 Includes bibliographical references and index.1) Introduction -- 2) CNN for Brain Tumor classification -- 3) CNN for Pneumonia image classification -- 4) CNN for White Blood Cell classification -- 5) CNN for Skin Cancer classification -- 6) CNN for Diabetic Retinopathy detection.Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performance enhancement techniques, which have been tried and tested successfully, such as specific data augmentations and image processing techniques utilized to improve the accuracy of the models.SpringerBriefs in Computer Science,2191-5776Computer visionMedical sciencesArtificial intelligenceMachine learningImage processingArtificial intelligenceData processingComputer VisionHealth SciencesArtificial IntelligenceMachine LearningImage ProcessingData ScienceComputer vision.Medical sciences.Artificial intelligence.Machine learning.Image processing.Artificial intelligenceData processing.Computer Vision.Health Sciences.Artificial Intelligence.Machine Learning.Image Processing.Data Science.616.0754Teoh Teik Toe1216205MiAaPQMiAaPQMiAaPQ9910683352603321Convolutional Neural Networks for Medical Applications3087038UNINA