AIMC Topic: Neural Networks, Computer

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Compact artificial neuron based on anti-ferroelectric transistor.

Nature communications
Neuromorphic machines are intriguing for building energy-efficient intelligent systems, where spiking neurons are pivotal components. Recently, memristive neurons with promising bio-plausibility have been developed, but with limited reliability, bulk...

Reinforcement learning for robust stabilization of nonlinear systems with asymmetric saturating actuators.

Neural networks : the official journal of the International Neural Network Society
We study the robust stabilization problem of a class of nonlinear systems with asymmetric saturating actuators and mismatched disturbances. Initially, we convert such a robust stabilization problem into a nonlinear-constrained optimal control problem...

LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network.

Neural networks : the official journal of the International Neural Network Society
Due to the complicated production mechanism in multivariate industrial processes, different dynamic features of variables raise challenges to traditional data-driven process monitoring methods which assume the process data is static or dynamically co...

Artificial intelligence system for automated landmark localization and analysis of cephalometry.

Dento maxillo facial radiology
OBJECTIVES: Cephalometric analysis is essential for diagnosis, treatment planning and outcome assessment of orthodontics and orthognathic surgery. Utilizing artificial intelligence (AI) to achieve automated landmark localization has proved feasible a...

Analysis of the Application Efficiency of TensorFlow and PyTorch in Convolutional Neural Network.

Sensors (Basel, Switzerland)
In this paper, we present an analysis of important aspects that arise during the development of neural network applications. Our aim is to determine if the choice of library can impact the system's overall performance, either during training or desig...

Embedding Weather Simulation in Auto-Labelling Pipelines Improves Vehicle Detection in Adverse Conditions.

Sensors (Basel, Switzerland)
The performance of deep learning-based detection methods has made them an attractive option for robotic perception. However, their training typically requires large volumes of data containing all the various situations the robots may potentially enco...

Implementation of Kalman Filtering with Spiking Neural Networks.

Sensors (Basel, Switzerland)
A Kalman filter can be used to fill space-state reconstruction dynamics based on knowledge of a system and partial measurements. However, its performance relies on accurate modeling of the system dynamics and a proper characterization of the uncertai...

Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network.

BMC medical informatics and decision making
BACKGROUND: Critical values are commonly used in clinical laboratory tests to define health-related conditions of varying degrees. Knowing the values, people can quickly become aware of health risks, and the health professionals can take immediate ac...

Understanding Human Object Vision: A Picture Is Worth a Thousand Representations.

Annual review of psychology
Objects are the core meaningful elements in our visual environment. Classic theories of object vision focus upon object recognition and are elegant and simple. Some of their proposals still stand, yet the simplicity is gone. Recent evolutions in beha...

Utilizing artificial intelligence and electroencephalography to assess expertise on a simulated neurosurgical task.

Computers in biology and medicine
Virtual reality surgical simulators have facilitated surgical education by providing a safe training environment. Electroencephalography (EEG) has been employed to assess neuroelectric activity during surgical performance. Machine learning (ML) has b...