AIMC Topic: Neural Networks, Computer

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Wavelet LSTM for Fault Forecasting in Electrical Power Grids.

Sensors (Basel, Switzerland)
An electric power distribution utility is responsible for providing energy to consumers in a continuous and stable way. Failures in the electrical power system reduce the reliability indexes of the grid, directly harming its performance. For this rea...

Convolutional Neural Network Model Based on 2D Fingerprint for Bioactivity Prediction.

International journal of molecular sciences
Determining and modeling the possible behaviour and actions of molecules requires investigating the basic structural features and physicochemical properties that determine their behaviour during chemical, physical, biological, and environmental proce...

Arabic Syntactic Diacritics Restoration Using BERT Models.

Computational intelligence and neuroscience
The Arabic syntactic diacritics restoration problem is often solved using long short-term memory (LSTM) networks. Handcrafted features are used to augment these LSTM networks or taggers to improve performance. A transformer-based machine learning tec...

Classification of peripheral blood neutrophils using deep learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Deep learning has been used to classify the while blood cells in peripheral blood smears. However, the classification of developing neutrophils is rarely studied. Moreover, it is still unknown whether deep learning can work well on the data coming fr...

Predicting a Time-Dependent Quantity Using Recursive Generative Query Network.

International journal of neural systems
We propose here a novel neural architecture dedicated to the prediction of time series. It can be considered as an adaptation of the idea of (GQN) to the data which is of a sequence nature. The new approach, dubbed here as the (RGQN), allows for effi...

In-sensor neural network for high energy efficiency analog-to-information conversion.

Scientific reports
This work presents an on-chip analog-to-information conversion technique that utilizes analog hyper-dimensional computing based on reservoir-computing paradigm to process electrocardiograph (ECG) signals locally in-sensor and reduce radio frequency t...

Multilayer redox-based HfO/AlO/TiO memristive structures for neuromorphic computing.

Scientific reports
Redox-based memristive devices have shown great potential for application in neuromorphic computing systems. However, the demands on the device characteristics depend on the implemented computational scheme and unifying the desired properties in one ...

Classifier for the functional state of the respiratory system via descriptors determined by using multimodal technology.

Computer methods in biomechanics and biomedical engineering
Currently, intelligent systems built on a multimodal basis are used to study the functional state of living objects. Its essence lies in the fact that a decision is made through several independent information channels with the subsequent aggregation...

A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks.

Big data
Artificial neural networks (ANNs) have been frequently used in forecasting problems in recent years. One of the most popular types of ANNs in these days is Pi-Sigma artificial neural networks (PS-ANNs). PS-ANNs have a high order ANN structure and the...

Neurodynamics-driven portfolio optimization with targeted performance criteria.

Neural networks : the official journal of the International Neural Network Society
This paper addresses portfolio selection with targeted performance criteria via neurodynamic optimization. Five portfolio optimization problems are formulated with a variable weight to maximize five risk-adjusted performance criteria in Markowitz's m...