IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Transfer Learning for IoT Applications: Explainable AI for Adaptive Systems Integration

Transfer Learning for IoT Applications: Explainable AI for Adaptive Systems Integration
View Sample PDF
Author(s): R. N. Ravikumar (Marwadi University, Rajkot, India), S. Aarthi (Marwadi University, Rajkot, India), Anand Singh (Marwadi University, Rajkot, India), N. Sivakumar (Marwadi University, Rajkot, India), S. Kavitha Bharathi (Kongu Engineering College, Erode, India)and S. Sujitha (Kongu Engineering College, Erode, India)
Copyright: 2026
Pages: 30
Source title: Enhancing Autonomous and Adaptive Systems With AI and IoT
Source Author(s)/Editor(s): Ben Othman Soufiene (King Faisal University, Saudi Arabia)
DOI: 10.4018/979-8-3373-3146-1.ch003

Purchase

View Transfer Learning for IoT Applications: Explainable AI for Adaptive Systems Integration on the publisher's website for pricing and purchasing information.

Abstract

The integration of IoT and AI enhances autonomous and adaptive systems, leveraging Transfer Learning and Explainable AI (XAI) for improved efficiency. This research explores AI-driven IoT applications, bridging theory and practice. Transfer Learning minimizes data needs and computational costs, increasing flexibility across smart cities, precision agriculture, healthcare, and energy management. AI models act as knowledge transfer nodes, enabling adaptive decision-making. XAI ensures transparency, interpretability, and trust in AI-assisted IoT, crucial for ethical compliance and reliable decision-making. Challenges include data processing, scalability, security, and privacy. The study addresses bias detection, fair data practices, and ethical AI deployment. Using interdisciplinary research and practical examples, it guides researchers, engineers, and industry professionals in advancing intelligent IoT systems.

Related Content

Frederic Andres. © 2027. 14 pages.
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar. © 2027. 27 pages.
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran. © 2027. 24 pages.
Swetha Margaret T. A., Renuka Devi D.. © 2027. 31 pages.
Maurice Saluschke, Michael Schulz. © 2027. 30 pages.
Mirjam Sepesy Maučec, Gregor Donaj. © 2027. 16 pages.
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo. © 2027. 21 pages.
Body Bottom