AIMC Topic: Neural Networks, Computer

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Message Passing Neural Networks Improve Prediction of Metabolite Authenticity.

Journal of chemical information and modeling
Cytochrome P450 enzymes aid in the elimination of a preponderance of small molecule drugs, but can generate reactive metabolites that may adversely react with protein and DNA and prompt drug candidate attrition or market withdrawal. Previously develo...

Radar Human Activity Recognition with an Attention-Based Deep Learning Network.

Sensors (Basel, Switzerland)
Radar-based human activity recognition (HAR) provides a non-contact method for many scenarios, such as human-computer interaction, smart security, and advanced surveillance with privacy protection. Feeding radar-preprocessed micro-Doppler signals int...

Convolutional Neural Network for Individual Identification Using Phase Space Reconstruction of Electrocardiogram.

Sensors (Basel, Switzerland)
Electrocardiogram (ECG) biometric provides an authentication to identify an individual on the basis of specific cardiac potential measured from a living body. Convolutional neural networks (CNN) outperform traditional ECG biometrics because convoluti...

Critically synchronized brain waves form an effective, robust and flexible basis for human memory and learning.

Scientific reports
The effectiveness, robustness, and flexibility of memory and learning constitute the very essence of human natural intelligence, cognition, and consciousness. However, currently accepted views on these subjects have, to date, been put forth without a...

Neural learning rules for generating flexible predictions and computing the successor representation.

eLife
The predictive nature of the hippocampus is thought to be useful for memory-guided cognitive behaviors. Inspired by the reinforcement learning literature, this notion has been formalized as a predictive map called the successor representation (SR). T...

Modelling daily plant growth response to environmental conditions in Chinese solar greenhouse using Bayesian neural network.

Scientific reports
Understanding how plants respond to environmental conditions such as temperature, CO, humidity, and light radiation is essential for plant growth. This paper proposes an Artificial Neural Network (ANN) model to predict plant response to environmental...

Comparative study of convolutional neural network architectures for gastrointestinal lesions classification.

PeerJ
The gastrointestinal (GI) tract can be affected by different diseases or lesions such as esophagitis, ulcers, hemorrhoids, and polyps, among others. Some of them can be precursors of cancer such as polyps. Endoscopy is the standard procedure for the ...

A deep learning-based framework for retinal fundus image enhancement.

PloS one
PROBLEM: Low-quality fundus images with complex degredation can cause costly re-examinations of patients or inaccurate clinical diagnosis.

Affect and stress detection based on feature fusion of LSTM and 1DCNN.

Computer methods in biomechanics and biomedical engineering
The impact of emotions on health, especially stress, is receiving increasing attention. It is important to provide a non-invasive affect detection system that can be continuously monitored for a long period of time. Multi-sensor fusion strategies can...

Convolutional Neural Network Quantification of Gleason Pattern 4 and Association With Biochemical Recurrence in Intermediate-Grade Prostate Tumors.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Differential classification of prostate cancer grade group (GG) 2 and 3 tumors remains challenging, likely because of the subjective quantification of the percentage of Gleason pattern 4 (%GP4). Artificial intelligence assessment of %GP4 may improve ...