Few-shot learning in Wi-Fi-based indoor positioning

• المؤلفون الرئيسيون: Xie, Feng, Lam, Soi Hoi, Xie, Ming, Wang, Cheng
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Few-shot learning; Indoor positioning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/181449
• المؤسسة: Nanyang Technological University

This paper explores the use of few-shot learning in Wi-Fi-based indoor positioning, utilizing convolutional neural networks (CNNs) combined with meta-learning techniques to enhance the accuracy and efficiency of positioning systems. The focus is on addressing the challenge of limited labeled data, a...