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Embedded artificial intelligence : real-life applications and case studies / edited by Arpita Nath Boruah, Mrinal Goswami, Manoj Kumar, Octavio Loyola-Gonzalez
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Boca Raton : C&H/CRC Press, 2025Edition: First editionDescription: 1 Online-RessourceISBN:- 9781040304679
- 1003481086
- 9781003481089
- 006.3 23/eng/20241218
- TA347.A78
Contents:
Summary: "This book explores the role of Embedded AI in revolutionising industries such as healthcare, transportation, manufacturing, retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of the book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage. It discusses a variety of techniques for optimising algorithms and models for embedded systems, including hardware acceleration, model compression, and quantisation. Explores security experiments in emerging post-CMOS technologies using AI, including side-channel attack-resistant embedded systems Discusses different hardware and software platforms available for developing embedded AI applications, as well as the various techniques used to design and implement these systems Considers ethical and societal implications of embedded AI vis-a-vis the need for responsible development and deployment of embedded AI systems Focuses on application-based research and case studies to develop embedded AI systems for real-life applications Examines high-end parallel systems to run complex AI algorithms and comprehensive functionality while maintaining portability and power-efficiency This reference book is for students, researchers and professionals interested in Embedded AI, and relevant branches of computer science, electrical engineering, or artificial intelligence"--PPN: PPN: 1940046025Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
Unleashing intelligence at the edge : exploring machine learning in embedded systems / Mousumi Karmakar -- Fusion of edge computing in AI-enabled embedded technologies / R. Aishwarya and G. Mathivanan -- Developing edge AI for embedded systems / Rekha R Nair, Tina Babu, Ebin P.M. -- AI at the edge : merging intelligence and distributed computing / Akey Sungheetha, Rajesh Sharma -- Transformative impact of AI-enabled embedded systems in financial services : case studies and practical applications / P.R jeyalakshmi -- Embedded AI approaches for multi-organ critical care diagnostics support and decision making -- current trends and emerging scenarios / Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta -- Embedded AI-based approaches for skin cancer detection : machine learning techniques and applications / Kalaiselvi.S, T. Jesudas, Senbagavalli M -- Artificial intelligence and automated deep learning for medical imaging / Sakthi Gokul Rajan C, Krishnamoorthy A , Annamalai Muthu, S.Jaisiva, Velappagari Sekhar -- A comprehensive review on embedded systems security using machine learning / Durgabati Podder, Yagnyasenee Sengupta -- Embedding business analysis for successful AI-powered digital transformation / Tran Minh Tung -- AI in implementation of EDEEC protocol for 4-level scalable heterogeneous wireless sensor networks / Harjit Kaura, Amitoj Kaurb and Pratibha Soarmc -- Side channel attack-resistant embedded systems / Ramesh M. Kagalkar -- Smart irrigation system using IoT-based devices / Yagnyasenee Sen Gupta, Angelina Chiran, Jasmin Gupta -- Revolutionizing healthcare from inside -- leveraging expanded reality with ingestible sensors / Aritra Banerjee, Mittal Shit, Sayan Shourya Muhuri, Sayandip Adhikari, Siddharth Himanshee, Hitesh Mohapatra -- Object detection using Opencv / Sukanya Saha, Sujoy Shil, Karna Sutradhar, Yagnyasenee Sengupta -- Analytical study of dominating features of intelligent controller over conventional controller / Ankita Maheshwari, Vishal Goyal, Alka Agrawal -- Data security and ethical considerations in embedded AI systems / Sumit Kumar Banshal -- Security of social media content for ai-embedded systems : comparative analysis / Saswati Debnath, Senbagavalli, Ramalakshmi, Shradha Naik, Nazmin Begum.
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