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Electric Conductivity

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Artificial skin through super-sensing method and electrical impedance data from conductive fabric with aid of deep learning.

Scientific reports
Sense of touch is a major part of man's communication with their environment. Artificial skins can help robots to have the same sense of touch, especially for their social interactions. This paper presents a pressure mapping sensing using piezo-resis...

Machine Learning Prediction of DNA Charge Transport.

The journal of physical chemistry. B
First-principles calculations of charge transfer in DNA molecules are computationally expensive given that conducting charge carriers interact with intra- and intermolecular atomic motion. Screening sequences, for example, to identify excellent elect...

Polymer Analog Memristive Synapse with Atomic-Scale Conductive Filament for Flexible Neuromorphic Computing System.

Nano letters
With the advent of artificial intelligence (AI), memristors have received significant interest as a synaptic building block for neuromorphic systems, where each synaptic memristor should operate in an analog fashion, exhibiting multilevel accessible ...

In vitro electrochemical assessment of electrodes for neurostimulation in roach biobots.

PloS one
Biobotics investigates the use of live insects as biological robots whose locomotion can be controlled by neurostimulation through implanted electrodes. Inactivity in the biobots (biological robots) can sometimes be noticed following extended neurost...

Neuromorphic computing with multi-memristive synapses.

Nature communications
Neuromorphic computing has emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that memristive devices, which exhibit history-dependent conductivity modulation, could efficiently r...

A Globally Generalized Emotion Recognition System Involving Different Physiological Signals.

Sensors (Basel, Switzerland)
Machine learning approaches for human emotion recognition have recently demonstrated high performance. However, only/mostly for subject-dependent approaches, in a variety of applications like advanced driver assisted systems, smart homes and medical ...

Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach.

Neural networks : the official journal of the International Neural Network Society
The traditional artificial neural network (ANN) inversion of electrical resistivity imaging (ERI) based on gradient descent algorithm is known to be inept for its low computation efficiency and does not ensure global convergence. In order to solve ab...

Quality assessment and artificial neural networks modeling for characterization of chemical and physical parameters of potable water.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Today, due to the increase in the population, the growth of industry and the variety of chemical compounds, the quality of drinking water has decreased. Five important river water quality properties such as: dissolved oxygen (DO), total dissolved sol...

Prediction of soil urea conversion and quantification of the importance degrees of influencing factors through a new combinatorial model based on cluster method and artificial neural network.

Chemosphere
Quantitative prediction of soil urea conversion is crucial in determining the mechanism of nitrogen transformation and understanding the dynamics of soil nutrients. This study aimed to establish a combinatorial prediction model (MCA-F-ANN) for soil u...

Nonlinear Tracking Control of a Conductive Supercoiled Polymer Actuator.

Soft robotics
Artificial muscle actuators made from commercial nylon fishing lines have been recently introduced and shown as a new type of actuator with high performance. However, the actuators also exhibit significant nonlinearities, which make them difficult to...