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Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure
The proposed CNN-FENN-HHO+ method outperforms the proposed CNN-MLP, CNN-ENN and CNN-FENN methods and improved the classification performance metrics across 5-fold cross-validation.
Deep Learning in Spatially Resolved Transcriptomics: A Comprehensive Technical View
In this paper, we provide a comprehensive overview of these deep learning methods, including their strengths and limitations.
A Sensorless Control System for an Implantable Heart Pump using a Real-time Deep Convolutional Neural Network
To automatically adjust the LVAD speed, a physiological control system needs to be designed to respond to variations of patient hemodynamics across a variety of clinical scenarios.
Estimating Lower Limb Kinematics using a Reduced Wearable Sensor Count
Goal: This paper presents an algorithm for accurately estimating pelvis, thigh, and shank kinematics during walking using only three wearable inertial sensors.
Robotics Systems and Control Systems and Control
