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001481476 001__ 1481476
001481476 003__ OCoLC
001481476 005__ 20231031003339.0
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001481476 019__ $$a1401648345$$a1401905780$$a1402033656$$a1402814825
001481476 020__ $$a9783031348730$$q(electronic bk.)
001481476 020__ $$a3031348737$$q(electronic bk.)
001481476 020__ $$z3031348729
001481476 020__ $$z9783031348723
001481476 0247_ $$a10.1007/978-3-031-34873-0$$2doi
001481476 035__ $$aSP(OCoLC)1404263080
001481476 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dOCLKB$$dEBLCP
001481476 049__ $$aISEA
001481476 050_4 $$aTK5102.9
001481476 08204 $$a621.382/2028563$$223/eng/20231017
001481476 24500 $$aIntelligent multimedia signal processing for smart ecosystems /$$cShabir A. Parah, Nasir N. Hurrah, Ekram Khan, editors.
001481476 264_1 $$aCham, Switzerland :$$bSpringer,$$c2023.
001481476 300__ $$a1 online resource (312 pages) :$$billustrations (black and white, and color).
001481476 336__ $$atext$$btxt$$2rdacontent
001481476 337__ $$acomputer$$bc$$2rdamedia
001481476 338__ $$aonline resource$$bcr$$2rdacarrier
001481476 504__ $$aReferences -- Breakthroughs and Challenges in Multimedia Privacy and Security in the Internet of Things (IoT) -- 1 Introduction -- 2 Overview of Previous Work -- 3 Prerequisites for IoT-Based Multimedia Information Privacy and Security -- 4 Data Classification, Privacy, and Security Aspects for Multimedia Content -- 4.1 Agriculture Multimedia Content -- 4.2 Biometric Multimedia Content -- 4.3 Healthcare Multimedia Content -- 4.4 Social Multimedia Content -- 4.5 Surveillance Multimedia Content -- 4.6 Transport Multimedia Content -- 4.7 Chaos-Based Encryption Techniques
001481476 5050_ $$aPart 1: Smart Ecosystems: Opportunities and Challenges -- 1. Smart Ecosystems for Sustainable Development: Opportunities, Challenges, and Solutions through Research and Innovation -- 2. Big Data in Smart Ecosystems: Trends, Challenges and Future Prospectus -- 3. Breakthroughs and challenges in multimedia privacy and security in the Internet of Things (IoT) -- 4. Analysis of Ensemble Methods for Phishing Detection -- Part II Intelligent Signal Processing for Smart Health -- 5. Machine Learning Based Diabetic Retinopathy Detection and Classification -- 6. CNN-SVM with Data Augmentation for Robust Blur Detection of Digital Breast Tomosynthesis Images -- 7. Lung Lesion Identification Using Geometrical Feature and Optical flow Method from Computed Tomography Scan Images -- 8. Performance Improvement with Optimization Algorithm in Isolating Left Ventricle and Non-Left Ventricle Cardiac -- 9 Dual-Feature CNN-SVM method for breast mass tissue abnormality classification on digital mammography images adapted to breast density -- 10. Deterministic Seir Mathematical Model For Infectious Diseases Like Covid-19 -- Part III Intelligent Signal Processing for Smart Industry -- 11. Detection of Power Distribution Fault in Thermal Images Using CNN -- 12. Text to Speech Synthesis using Deep Learning -- 13. Advanced Sequence Learning Approaches for Emotion Recognition Using Speech Signals -- 14. Comparison of Deep Learning Model Performance for Handwritten Character Recognition of School Children -- 15. Handwritten Urdu Recognition using BERT with Vision Transformers.
001481476 506__ $$aAccess limited to authorized users.
001481476 520__ $$aA smart ecosystem is envisioned to exchange and analyze data across systems, enabling a flexible, faster, and reliable smart ecosystem for high-quality results at reduced costs and little human intervention. This book introduces many innovative approaches and provides solutions to various problems of smart ecosystems designed by employing various techniques/models based on AI, ML, Deep Learning, and the Internet of Things (IoT). The main focus is on intelligent multimedia processing and automated decision-making for various services, real-time data analysis, data security, cost-effective solutions for multimedia applications, smart information processing systems, and smart city planning to name a few. In addition, this book presents some key insights and future directions in the various areas of technology. Throughout the book, many state-of-the-art solutions concerning various applications are proposed to solve the issues and ensure the quality of services (QoS). The authors discuss the limitations of the current techniques used to design a smart ecosystem and highlight some prospective areas of research in the future. The book comprehensively discusses multimedia processing of various forms of data comprising text, images, and audio for the implementation of various solutions. The book is aimed to open many areas of research and thus would present a comprehensive reference for the design of smart ecosystems in various applications.
001481476 588__ $$aDescription based on print version record.
001481476 650_0 $$aSignal processing$$xDigital techniques$$xData processing.
001481476 650_0 $$aMultimedia systems.$$vCongresses$$0(DLC)sh2008107510
001481476 650_0 $$aArtificial intelligence.$$xMedical applications$$0(DLC)sh 88003000
001481476 655_0 $$aElectronic books.
001481476 7001_ $$aParah, Shabir A.$$eeditor.
001481476 7001_ $$aHurrah, Nasir N.$$eeditor.
001481476 7001_ $$aKhan, Ekram,$$eeditor.
001481476 77608 $$iPrint version:$$tINTELLIGENT MULTIMEDIA SIGNAL PROCESSING FOR SMART ECOSYSTEMS.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2023$$z3031348729$$w(OCoLC)1378383199
001481476 852__ $$bebk
001481476 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-34873-0$$zOnline Access$$91397441.1
001481476 909CO $$ooai:library.usi.edu:1481476$$pGLOBAL_SET
001481476 980__ $$aBIB
001481476 980__ $$aEBOOK
001481476 982__ $$aEbook
001481476 983__ $$aOnline
001481476 994__ $$a92$$bISE