Gutscheinbedingungen

**Gültig bis 06.07.2026 auf fremdsprachige Bücher online auf thalia.at, in der Thalia App ab einem Mindestbestellwert von 30€ und in allen Thalia Buchhandlungen in Österreich. In den Buchhandlungen nur gültig auf lagernde Ware. Einzelne Artikel können ausgeschlossen sein. Ausgenommen sind preisgebundene Artikel & eBooks. Pro Einkauf einmal einlösbar. Nur gültig gegen Vorlage oder im Onlineshop hinterlegter Bonuscard. Infos zur Einlösung in der Buchhandlung sind auf der Bonuscard-Vorteilspreisseite zu finden. Click & Collect nur bei Onlinevorabzahlung möglich. Keine Einlösung bei Scan & Go-Bezahlung. Keine Barauszahlung. Nicht kombinierbar mit anderen Aktionen und Gutscheinen. Gutschein wird auf max. 500€ Bestellwert angerechnet. Nicht gültig für Versandkosten und Services.

Produktbild: Embedded Artificial Intelligence
Neu

Embedded Artificial Intelligence Real-Life Applications and Case Studies

78,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Portrait

Arpita Nath Boruah is an Assistant Professor, Programme Computer Science and Engineering in the Faculty of Engineering and Technology at Assam Down Town University, Assam, India. She earned her doctorate degree from the National Institute of Technology, Silchar, Assam, in the Department of Computer Science and Engineering. She holds an MTech degree in Computer Science and Engineering from NERIST, Arunachal Pradesh, and a bachelor's degree in Computer Science and Engineering from Jorhat Engineering College, Assam. She is currently involved in research areas that include data mining, machine learning, data science, and transparent decision¿making system. She has published several international journal articles in SCI/SCIE¿indexed journals from various reputed publishers and has attended many international conferences.

Mrinal Goswami earned his BTech degree in Computer Science and Engineering from the North Eastern Regional Institute of Science and Technology, India, in 2012. He earned his MTech and PhD in Computer Science and Engineering from the National Institute of Technology, Durgapur, West Bengal, India, in 2014 and 2019, respectively. He has over eight years of research and teaching experience as an assistant professor. Currently, he is with the Faculty of Engineering and Technology, Programme of Computer Science and Engineering, Assam Down Town University, Guwahati, Assam, India, and working as an Associate Professor. Before this, he was an Assistant Professor in the Department of Computer Science and Engineering at the University of Petroleum and Energy Studies (NIRF Rank 54 & NACC A accredited) and North Eastern Regional Institute Science and Technology (Deemed¿to¿be¿University under the Ministry of Education, Govt. of India). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Cellular Automata India Chapter. He has published several international research articles on design, testing, security, and fault¿tolerance issues in digital systems, quantum dot cellular automata, quantum computing, and AI.

Manoj Kumar completed his PhD from The Northcap University and MSc (Information Security and Digital Forensics) from Technological University Dublin, Ireland, in 2013. He received a fully funded scholarship for the MTech and MSc programmes from the Irish Government and the MHRD, respectively. He has more than 13 years of research, teaching, and corporate experience. He is currently an Associate Professor of Cyber Security at the University of Wollongong in Dubai, UAE, and a Research Head for the Network and Cyber Security Cluster @UOWD. He has published over 170 articles in various journals and conferences. He published over 10 patents and delivered three international research¿funded projects. He published three authored books and eight edited books. His specializations are digital forensics, machine learning, information security, image processing, IOT, and computer networking. He is a member of numerous renowned professional bodies including IEEE, ACM, IAENG, ISTS, and UACEE. He received the Best Researcher Award in 2020, an Outstanding Scientist Award in 2021, and a Young Researcher Award in 2021 from recognized international professional societies.

Octavio LoyoläGonzalez earned his PhD in Computer Science from the National Institute of Astrophysics, Optics, and Electronics, Mexico. He has won several awards from different institutions for his research work on applied projects. Consequently, he is a member of the National System of Researchers in Mexico (Rank 1). He worked as a distinguished professor and researcher at the Tecnologico de Monterrey, Campus Puebla, for undergraduate and graduate programmes of Computer Sciences. He was a Managing Director for Altair Management Consultants, having branches in the USA, UK, Spain, and Mexico, where he led several teams of data scientists for AI and ML, business intelligence reporting, and traditional consulting. Currently, he serves as an AI Executive Consulting Manager at NTT DATA. His responsibilities include bringing in clients from the automotive, manufacturing, real estate, infrastructure, and services sectors for deals related to advanced analytics (AI & GenAI). Additionally, he oversees the operations and activities of a team of data scientists, guiding them on both technical and business strategy aspects. Furthermore, he is actively involved in publishing scientific papers and books in reputable journals to promote advancements in AI research.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.06.2026

Abbildungen

schwarz-weiss Illustrationen, Raster, schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Herausgeber

Arpita Nath Boruah + weitere

Verlag

Taylor and Francis

Seitenzahl

310

Maße (L/B/H)

23,4/15,6/1,7 cm

Gewicht

600 g

Sprache

Englisch

ISBN

978-1-03-277067-3

Portrait

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.06.2026

Abbildungen

schwarz-weiss Illustrationen, Raster, schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Herausgeber

Verlag

Taylor and Francis

Seitenzahl

310

Maße (L/B/H)

23,4/15,6/1,7 cm

Gewicht

600 g

Sprache

Englisch

ISBN

978-1-03-277067-3

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

Die Leseprobe wird geladen.
  • Produktbild: Embedded Artificial Intelligence
  • Section A: Overview of Embedded Systems and Artificial Intelligence 1. Unleashing Intelligence at the Edge: Exploring Machine Learning in Embedded Systems 2. Fusion of Edge Computing in AI-Enabled Embedded Technologies 3. Developing Edge AI for Embedded Systems 4. AI at the Edge: Merging Intelligence and Distributed Computing SECTION B: Case Studies and Practical Applications of AI-enabled Embedded Systems 5. Transformative Impact of AI-Enabled Embedded Systems in Financial Services: Case Studies and Practical Applications 6. Embedded AI Approaches for Multi-organ Critical Care Diagnostics Support and Decision making - Current trends and Emerging Scenarios 7. Embedded AI-Based Approaches for Skin Cancer Detection: Machine Learning Techniques and Applications 8. Artificial Intelligence and Automated Deep Learning for Medical Imaging 9. A comprehensive review on Embedded systems security using
    Machine Learning 10. Embedding Business Analysis for Successful AI-Powered Digital Transformation 11. AI in Implementation of EDEEC protocol for 4-Level Scalable
    Heterogeneous Wireless Sensor Networks 12. Side Channel Attack-Resistant Embedded Systems 13. Smart Irrigation System using IoT-based devices 14. Revolutionizing Healthcare from Inside - Leveraging Expanded Reality with Ingestible Sensors 15. Object Detection using Opencv 16. Analytical Study of Dominating features of Intelligent Controller over Conventional Controller SECTION C: Ethical Considerations in Embedded AI 17. Data Security and Ethical Considerations in Embedded AI Systems 18. Security of Social Media Content for AI-Embedded Systems: Comparative Analysis