Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...
Abstract: A common problem in classification is to use one/more sensors to observe repeated measurements of a target's features/attributes, and in turn update the targets' posterior classification ...
Abstract: In this paper, we propose a general collaborative sparse representation framework for multi-sensor classification which exploits correlation as well as complementary information among ...
This is an exploratory machine learning project aimed to compare the performance of different Neural Networks in classifying liquid-immersed capacitive sensor electrode signals. The authors' aim is to ...
Recent technological advances have transformed grazing management by integrating sophisticated sensor networks and machine learning algorithms to classify animal behaviour. In grazing systems, ...
Proyek ini membangun model machine learning untuk klasifikasi kondisi lingkungan menggunakan dataset dari sensor BME (misalnya BME280/BME680). Dataset yang digunakan berupa data Smart Farm Zoning yang ...
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