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Boyu Yang, Anmin Cai & Weirong Lin. (2022) Analysis of early fault vibration detection and analysis of offshore wind power transmission based on deep neural network. Connection Science 34:1, pages 1005-1017.
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Articles from other publishers (6)
Muhammad Adnan Khan, Sagheer Abbas, Ali Raza, Faheem Khan & T. Whangbo. (2022) Emotion Based Signal Enhancement Through Multisensory Integration Using Machine Learning. Computers, Materials & Continua 71:3, pages 5911-5931.
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Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber & Stefan Wermter. (2020) Crossmodal Language Grounding in an Embodied Neurocognitive Model. Frontiers in Neurorobotics 14.
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Edmanuel Cruz, Jose Carlos Rangel, Francisco Gomez-Donoso, Zuria Bauer, Miguel Cazorla & Jose Garcia-Rodriguez. (2018) Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot. Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot.
Stefan Wermter, Sascha Griffiths & Stefan Heinrich. (2017) Crossmodal lifelong learning in hybrid neural embodied architectures. Behavioral and Brain Sciences 40.
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Francisco Cruz, German I. Parisi, Johannes Twiefel & Stefan Wermter. (2016) Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario. Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario.
Johannes Bauer, Sven Magg & Stefan Wermter. (2015) Attention modeled as information in learning multisensory integration. Neural Networks 65, pages 44-52.
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