main webpage W Topic Machine Learning Sensors • Vol 23 • No 1 Comparative Study of Machine Learning Models for Bee Colony Acoustic Pattern Classification on Low Computational Resources 2023 In precision beekeeping, the automatic recognition of colony states to assess the health status of bee colonies with dedicated hardware is an important challenge for researchers, and the use of machine learning (ML) models to predict acoustic patterns has inc… Article Open Machine Learning Open Article Page

Machine Learning

Study of algorithms that improve automatically through experience Machine learning ( ML ) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance. ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics. Critical Symbolic Virtual Narrative Open Machine Learning Open Article Page

Exploring foci of: Sensors • Vol 23 • No 1 Comparative Study of Machine Learning Models for Bee Colony Acoustic Pattern Classification on Low Computational Resources 2023 In precision beekeeping, the automatic recognition of colony states to assess the health status of bee colonies with dedicated hardware is an important challenge for researchers, and the use of machine learning (ML) models to predict acoustic patterns has increased attention. In this work, five classification ML algorithms were compared to find a model with the best performance and the lowest computational cost for identifying colony states by analyzing acoustic patterns. Several metrics were computed to evaluate … Open Article Page

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Explore Machine Learning W Topic Machine Learning Sensors • Vol 23 • No 1 Comparative Study of Machine Learning Models for Bee Colony Acoustic Pattern Classification on Low Computational Resources 2023 In precision beekeeping, the automatic recognition of colony states to assess the health status of bee colonies with dedicated hardware is an important challenge for researchers, and the use of machine learning (ML) models to predict acoustic patterns has inc… Article Critical Symbolic Virtual Narrative Open Machine Learning Open Article Page