AIMC Topic: Electric Power Supplies

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End-to-End Point Cloud Completion Network with Attention Mechanism.

Sensors (Basel, Switzerland) Aug 26, 2022
We propose a conceptually simple, general framework and end-to-end approach to point cloud completion, entitled PCA-Net. This approach differs from the existing methods in that it does not require a "simple" network, such as multilayer perceptrons (M...
Electric Power Supplies Cluster Analysis Neural Networks, Computer Research Design Algorithms
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Transfer learning based generalized framework for state of health estimation of Li-ion cells.

Scientific reports Aug 1, 2022
Estimating the state of health (SOH) of batteries powering electronic devices in real-time while in use is a necessity. The applicability of most of the existing methods is limited to the datasets that are used to train the models. In this work, we p...
Neural Networks, Computer Ions Electric Power Supplies Machine Learning Lithium
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LightFD: Real-Time Fault Diagnosis with Edge Intelligence for Power Transformers.

Sensors (Basel, Switzerland) Jul 15, 2022
Power fault monitoring based on acoustic waves has gained a great deal of attention in industry. Existing methods for fault diagnosis typically collect sound signals on site and transmit them to a back-end server for analysis, which may fail to provi...
Computer Simulation Intelligence Neural Networks, Computer Electric Power Supplies
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Bidirectional Graphormer for Reactivity Understanding: Neural Network Trained to Reaction Atom-to-Atom Mapping Task.

Journal of chemical information and modeling Jul 6, 2022
This work introduces , a new algorithm for reaction atom-to-atom mapping (AAM) based on a transformer neural network adopted for the direct processing of molecular graphs as sets of atoms and bonds, as opposed to SMILES/SELFIES sequence-based approac...
Algorithms Electric Power Supplies Neural Networks, Computer
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Shifting machine learning for healthcare from development to deployment and from models to data.

Nature biomedical engineering Jul 4, 2022
In the past decade, the application of machine learning (ML) to healthcare has helped drive the automation of physician tasks as well as enhancements in clinical capabilities and access to care. This progress has emphasized that, from model developme...
Delivery of Health Care Electric Power Supplies Machine Learning
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Autonomous push button-controlled rapid insulin release from a piezoelectrically activated subcutaneous cell implant.

Science advances Jun 15, 2022
Traceless physical cues are desirable for remote control of the in situ production and real-time dosing of biopharmaceuticals in cell-based therapies. However, current optogenetic, magnetogenetic, or electrogenetic devices require sophisticated elect...
Prostheses and Implants Electric Power Supplies Electronics Insulin Mice Animals Artificial Intelligence Humans
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Self-Powered Tactile Sensor for Gesture Recognition Using Deep Learning Algorithms.

ACS applied materials & interfaces May 25, 2022
A multifunctional wearable tactile sensor assisted by deep learning algorithms is developed, which can realize the functions of gesture recognition and interaction. This tactile sensor is the fusion of a triboelectric nanogenerator and piezoelectric ...
Electric Power Supplies Gestures Humans Electricity Artificial Intelligence Deep Learning
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Detecting Cyberattacks on Electrical Storage Systems through Neural Network Based Anomaly Detection Algorithm.

Sensors (Basel, Switzerland) May 23, 2022
Distributed Energy Resources (DERs) are growing in importance Power Systems. Battery Electrical Storage Systems (BESS) represent fundamental tools in order to balance the unpredictable power production of some Renewable Energy Sources (RES). Neverthe...
Electricity Algorithms Neural Networks, Computer Support Vector Machine Electric Power Supplies
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Deep Learning Enabled Neck Motion Detection Using a Triboelectric Nanogenerator.

ACS nano May 19, 2022
The state of neck motion reflects cervical health. To detect the motion state of the human neck is of important significance to healthcare intelligence. A practical neck motion detector should be wearable, flexible, power efficient, and low cost. Her...
Deep Learning Humans Electric Power Supplies Nanotechnology Silicon Motion Rubber
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Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning.

Sensors (Basel, Switzerland) May 17, 2022
With smart electronic devices delving deeper into our everyday lives, predictive maintenance solutions are gaining more traction in the electronic manufacturing industry. It is imperative for the manufacturers to identify potential failures and predi...
Lithium Neural Networks, Computer Algorithms Electric Power Supplies Bayes Theorem Ions
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