AIMC Topic: Electronics

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Application of CNN-Based Machine Learning in the Study of Motor Fault Diagnosis.

Computational intelligence and neuroscience
With the development of science and technology, the rapid development of social economy, the motor as a new type of transmission equipment, in the production and life of people occupies a pivotal position. Under the rapid development of computer and ...

A Classification Method for Electronic Components Based on Siamese Network.

Sensors (Basel, Switzerland)
In the field of electronics manufacturing, electronic component classification facilitates the management and recycling of the functional and valuable electronic components in electronic waste. Current electronic component classification methods are ...

Artificial Tactile Sensing System with Photoelectric Output for High Accuracy Haptic Texture Recognition and Parallel Information Processing.

Nano letters
Developing multifunctional artificial sensory systems is an important task for constructing future artificial neural networks. A system with multisignal output capability is highly required by the rising demand for high-throughput data processing in ...

A Power System Harmonic Problem Based on the BP Neural Network Learning Algorithm.

Computational intelligence and neuroscience
At present, due to the large-scale use of different kinds of power electronic devices in the power system, the problem of harmonic pollution in the power grid is becoming more and more serious, which will lead to a serious decline in the production, ...

Advances in Emerging Photonic Memristive and Memristive-Like Devices.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Possessing the merits of high efficiency, low consumption, and versatility, emerging photonic memristive and memristive-like devices exhibit an attractive future in constructing novel neuromorphic computing and miniaturized bionic electronic system. ...

Informing geometric deep learning with electronic interactions to accelerate quantum chemistry.

Proceedings of the National Academy of Sciences of the United States of America
Predicting electronic energies, densities, and related chemical properties can facilitate the discovery of novel catalysts, medicines, and battery materials. However, existing machine learning techniques are challenged by the scarcity of training dat...

Applications of biomemristors in next generation wearable electronics.

Nanoscale horizons
With the rapid development of mobile internet and artificial intelligence, wearable electronic devices have a great market prospect. In particular, information storage and processing of real-time collected data are an indispensable part of wearable e...

Tactile Near-Sensor Analogue Computing for Ultrafast Responsive Artificial Skin.

Advanced materials (Deerfield Beach, Fla.)
Ultrafast artificial skin enables unprecedented tactile internet applications in prosthetics, robotics, and human-machine interactions. However, current artificial skin systems that rely on front-end interface electronics typically perform redundant ...

Multimodal Sensors with Decoupled Sensing Mechanisms.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Highly sensitive and multimodal sensors have recently emerged for a wide range of applications, including epidermal electronics, robotics, health-monitoring devices and human-machine interfaces. However, cross-sensitivity prevents accurate measuremen...

Smart textiles using fluid-driven artificial muscle fibers.

Scientific reports
The marriage of textiles with artificial muscles to create smart textiles is attracting great attention from the scientific community and industry. Smart textiles offer many benefits including adaptive comfort and high conformity to objects while pro...