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020 _a9783031348730
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024 7 _a10.1007/978-3-031-34873-0
_2doi
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072 7 _aUG
_2bicssc
072 7 _aCOM034000
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072 7 _aUG
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082 0 4 _a006.7
_223
245 1 0 _aIntelligent Multimedia Signal Processing for Smart Ecosystems
_h[electronic resource] /
_cedited by Shabir A. Parah, Nasir N. Hurrah, Ekram Khan.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aVI, 367 p. 133 illus., 104 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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 ondigital 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.
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.
650 0 _aMultimedia systems.
650 0 _aInternet of things.
650 0 _aMachine learning.
650 1 4 _aMultimedia Information Systems.
650 2 4 _aInternet of Things.
650 2 4 _aMachine Learning.
700 1 _aParah, Shabir A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHurrah, Nasir N.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKhan, Ekram.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031348723
776 0 8 _iPrinted edition:
_z9783031348747
776 0 8 _iPrinted edition:
_z9783031348754
856 4 0 _uhttps://doi.org/10.1007/978-3-031-34873-0
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
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