首页|TH Koln-University of Applied Sciences Researchers Publish New Studies and Findi ngs in the Area of Robotics (Forecasting Vital Signs in Human-Robot Collaboratio n Using Sequence-to-Sequence Models with Bidirectional LSTM: A Comparative Analy sis ...)
TH Koln-University of Applied Sciences Researchers Publish New Studies and Findi ngs in the Area of Robotics (Forecasting Vital Signs in Human-Robot Collaboratio n Using Sequence-to-Sequence Models with Bidirectional LSTM: A Comparative Analy sis ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news reporting from Koln, Germany, by NewsRx journalists, research stated, “Our research investigates an approach to forecasting human vi tal signs by formulating the problem as a sequence-to-sequence (seq2seq) task, u tilizing bidirectional long short-term memory models (BiLSTM).”
TH Koln-University of Applied SciencesKolnGermanyEuropeEmerging TechnologiesMachine LearningRobotRobotics
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