AIMC Topic: Neural Networks, Computer

Clear Filters Showing 8971 to 8980 of 31376 articles

Adaptive event-triggered extended dissipative synchronization of delayed reaction-diffusion neural networks under deception attacks.

Neural networks : the official journal of the International Neural Network Society
Under spatially averaged measurements (SAMs) and deception attacks, this article mainly studies the problem of extended dissipativity output synchronization of delayed reaction-diffusion neural networks via an adaptive event-triggered sampled-data (A...

Standardized motion detection and real time heart rate monitoring of aerobics training based on convolution neural network.

Preventive medicine
In order to make the teaching and training of aerobics more standardized, it is necessary to use scientific means to detect and monitor the movement standardization in teaching and training and the change of human heart rate in the training process, ...

A Transformer-Based Neural Network for Gait Prediction in Lower Limb Exoskeleton Robots Using Plantar Force.

Sensors (Basel, Switzerland)
Lower limb exoskeleton robots have shown significant research value due to their capabilities of providing assistance to wearers and improving physical motion functions. As a type of robotic technology, wearable robots are directly in contact with th...

Deep Neural Networks for Predicting Single-Cell Responses and Probability Landscapes.

ACS synthetic biology
Engineering biology relies on the accurate prediction of cell responses. However, making these predictions is challenging for a variety of reasons, including the stochasticity of biochemical reactions, variability between cells, and incomplete inform...

Reconfigurable neuromorphic computing block through integration of flash synapse arrays and super-steep neurons.

Science advances
Neuromorphic computing (NC) architecture inspired by biological nervous systems has been actively studied to overcome the limitations of conventional von Neumann architectures. In this work, we propose a reconfigurable NC block using a flash-type syn...

Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition.

Sensors (Basel, Switzerland)
The study of Domain Generalization (DG) has gained considerable momentum in the Machine Learning (ML) field. Human Activity Recognition (HAR) inherently encompasses diverse domains (e.g., users, devices, or datasets), rendering it an ideal testbed fo...

A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG.

Scientific reports
Arrhythmia detection from ECG is an important area of computational ECG analysis. However, although a large number of public ECG recordings are available, most research uses only few datasets, making it difficult to estimate the generalizability of t...

The communication path and improvement strategy of symbolic culture of sneaker consumption culture using the big data analysis.

PloS one
With the emergence of Artificial Intelligence technology and the advancement of science and technology, the current mainstream path of social development is continuously updating and improving various industries using technology. Therefore, in order ...

Machine learning methods for anomaly classification in wastewater treatment plants.

Journal of environmental management
Modern wastewater treatment plants base their biological processes on advanced control systems which ensure compliance with discharge limits and minimize energy consumption responding to information from on-line probes. The correct readings of probes...

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives.

Seminars in cancer biology
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate anatomical structure of these regions poses considerable challenges to effi...