AIMC Topic: Neural Networks, Computer

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Determination of terazosin in the presence of prazosin: Different state-of-the-art machine learning algorithms with UV spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Counterfeit drugs have adverse effects on public health; chromatographic methods can be used but they are costly. In this study, we developed cost-effective and environmentally friendly methodology for the analysis of terazosin HCl (TZ) in the presen...

Dense gate network for biomedical image segmentation.

International journal of computer assisted radiology and surgery
PURPOSE: Deep learning has recently shown its outstanding performance in biomedical image semantic segmentation. Most biomedical semantic segmentation frameworks comprise the encoder-decoder architecture directly fusing features of the encoder and th...

Understanding the learning mechanism of convolutional neural networks in spectral analysis.

Analytica chimica acta
Deep learning approaches, especially convolutional neural network (CNN) models, have achieved excellent performances in vibrational spectral analysis. The critical drawback of the CNN approach is the lack of interpretation, and it is regarded as a bl...

Two judging criteria to check validity of a model for filling gaps caused by incomplete geospatial data.

Environmental research
Many models can be used to fill the gaps caused by incomplete geospatial data. But not all are valid. To study the validity of geospatial information diffusion model, in this article, two judging criteria are suggested to check if a model is valid fo...

Dual-emission CdTe/AgInS photoluminescence probe coupled to neural network data processing for the simultaneous determination of folic acid and iron (II).

Analytica chimica acta
This work focused on the combination of CdTe and AgInS quantum dots in a dual-emission nanoprobe for the simultaneous determination of folic acid and Fe(II) in pharmaceutical formulations. The surface chemistry of the used QDs was amended with suitab...

Dynamic Hand Gesture Recognition Based on a Leap Motion Controller and Two-Layer Bidirectional Recurrent Neural Network.

Sensors (Basel, Switzerland)
Dynamic hand gesture recognition is one of the most significant tools for human-computer interaction. In order to improve the accuracy of the dynamic hand gesture recognition, in this paper, a two-layer Bidirectional Recurrent Neural Network for the ...

Ultrafast optical integration and pattern classification for neuromorphic photonics based on spiking VCSEL neurons.

Scientific reports
In today's data-driven world, the ability to process large data volumes is crucial. Key tasks, such as pattern recognition and image classification, are well suited for artificial neural networks (ANNs) inspired by the brain. Neuromorphic computing a...

End-to-End Deep Learning Fusion of Fingerprint and Electrocardiogram Signals for Presentation Attack Detection.

Sensors (Basel, Switzerland)
Although fingerprint-based systems are the commonly used biometric systems, they suffer from a critical vulnerability to a presentation attack (PA). Therefore, several approaches based on a fingerprint biometrics have been developed to increase the r...

A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals.

Computational and mathematical methods in medicine
The detection of recorded epileptic seizure activity in electroencephalogram (EEG) segments is crucial for the classification of seizures. Manual recognition is a time-consuming and laborious process that places a heavy burden on neurologists, and he...

A tight upper bound on the generalization error of feedforward neural networks.

Neural networks : the official journal of the International Neural Network Society
We give a tight upper bound on the generalization error of 2-times continuously differentiable feedforward neural networks if the loss function is 2-times continuously differentiable as well. The upper bound consists of two terms, the first term indi...