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Multimodal Federated Learning in AIoT Systems: Existing Solutions, Applications, and Challenges
The unprecedented technological advancements in Artificial Intelligence (AI) and the
Internet of Things (IoT) have given rise to ecosystems of intelligent, interconnected devices …
Internet of Things (IoT) have given rise to ecosystems of intelligent, interconnected devices …
Image-based insect counting embedded in E-traps that learn without manual image annotation and self-dispose captured insects
This study describes the development of an image-based insect trap diverging from the plug-
in camera insect trap paradigm in that (a) it does not require manual annotation of images to …
in camera insect trap paradigm in that (a) it does not require manual annotation of images to …
Low-Cost LoRa-Based System for Continuous GHGs Monitoring in Cattle: Enhancing Agricultural Sustainability
Rising concern over livestock emissions and their contribution to climate change demands
innovative and cost-effective monitoring solutions. This study introduces and validates a low …
innovative and cost-effective monitoring solutions. This study introduces and validates a low …
[HTML][HTML] Environment Monitoring based on the Integration of Edge Computing and Multimodal Sensors
F Peng - Applied and Computational Engineering, 2024 - ewadirect.com
Environmental monitoring plays a crucial role in modern urban development, yet it faces
challenges related to the accuracy of data collection and the battery life of sensor nodes …
challenges related to the accuracy of data collection and the battery life of sensor nodes …