AIMC Topic: Electronics
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Structuring electronic dental records through deep learning for a clinical decision support system.
Health informatics journal
Jan 1, 2021
Extracting information from unstructured clinical text is a fundamental and challenging task in medical informatics. Our study aims to construct a natural language processing (NLP) workflow to extract information from Chinese electronic dental record...
Optoelectronic Sensor-based Shape Sensing Approach for Flexible Manipulators.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
This paper presents a novel two-axis shape sensor based on optical optoelectronic sensors and integrated with a flexible manipulator arm to measure the overall shape of the robotic arm. The disc-shape bio-compatible sensor presented here can be embed...
RRAM-based synapse devices for neuromorphic systems.
Faraday discussions
Feb 18, 2019
Hardware artificial neural network (ANN) systems with high density synapse array devices can perform massive parallel computing for pattern recognition with low power consumption. To implement a neuromorphic system with on-chip training capability, w...
Neuromorphic computation with spiking memristors: habituation, experimental instantiation of logic gates and a novel sequence-sensitive perceptron model.
Faraday discussions
Feb 18, 2019
Memristors have been compared to neurons and synapses, suggesting they would be good for neuromorphic computing. A change in voltage across a memristor causes a current spike which imparts a short-term memory to a memristor, allowing for through-time...
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: from mitigation to exploitation.
Faraday discussions
Feb 18, 2019
Memristive devices represent a promising technology for building neuromorphic electronic systems. In addition to their compactness and non-volatility, they are characterized by their computationally relevant physical properties, such as their state-d...
Recent Progress on Neuromorphic Synapse Electronics: From Emerging Materials, Devices, to Neural Networks.
Journal of nanoscience and nanotechnology
Dec 1, 2018
To realize intelligent functions in electronic devices like a human brain, it is important to develop the electronic devices that can imitate biological neurons and synapses (synaptic electronics). In this paper, we review the critical learning mecha...
Moving skin beyond the biological.
Nature
Nov 1, 2018
Novel switching design for finite-time stabilization: Applications to memristor-based neural networks with time-varying delay.
Chaos (Woodbury, N.Y.)
Feb 1, 2017
The aim of this paper is to provide a novel switching control design to solve finite-time stabilization issues of a discontinuous or switching dynamical system. In order to proceed with our analysis, we first design two kinds of switching controllers...
Design and development of a sensorized cylindrical object for grasping assessment.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Aim of this work is to design and develop an instrumented cylindrical object equipped with force sensors, which is able to assess grasping performance of both human and robotic hands. The object is made of two concentric shells between which sixteen ...
Design, fabrication and control of soft robots.
Nature
May 28, 2015
Conventionally, engineers have employed rigid materials to fabricate precise, predictable robotic systems, which are easily modelled as rigid members connected at discrete joints. Natural systems, however, often match or exceed the performance of rob...
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