Especially, using low-power cameras we can design interesting applications that provide us with previously difficult-to-capture information from the real-world.

Wireless sensor networks, with their capability to capture physical phenomena at micro-scale, have changed how we collect and analyze data from the real world.

Aug 30, 2024 · In this research, we describe a machine learning-based architecture for smart trash collection and sorting using the Internet of Things and wireless sensor ...

Bibliographic details on Machine Learning-Based Image Classification for Wireless Camera Sensor Networks.

Authors: Ahn, Jungmo; Paek, Jeongyeup; Ko, JeongGil ; Issue Date: Aug-2016 ; Publisher: IEEE ; Keywords: Image classification; Wireless Camera Sensor Networks.

Ad Hoc Networks 113, 102360, 2021. 12, 2021. Machine learning-based image classification for wireless camera sensor networks. J Ahn, J Paek, JG Ko. 2016 IEEE ...

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

Dec 9, 2024 · In this review, recent developments of ML techniques for WSNs are presented with much emphasis on DL techniques. The DL techniques developed for ...

To this end, this work focuses on maximizing the effectiveness of a wireless image sensor network that uses deep learning algorithms for image classification ...

This study provides a thorough examination of the important intersection of Wireless Sensor Networks (WSNs) with machine learning (ML) for improving security.