AIMC Topic: Neural Networks, Computer

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Domain Adaptation Methods for Lab-to-Field Human Context Recognition.

Sensors (Basel, Switzerland)
Human context recognition (HCR) using sensor data is a crucial task in Context-Aware (CA) applications in domains such as healthcare and security. Supervised machine learning HCR models are trained using smartphone HCR datasets that are scripted or g...

Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders-A Scoping Review.

Sensors (Basel, Switzerland)
Artificial intelligence (AI) is a field of computer science that deals with the simulation of human intelligence using machines so that such machines gain problem-solving and decision-making capabilities similar to that of the human brain. Neuroscien...

Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Ningxia wolfberry stored for many years may be disguised as fresh wolfberry by unscrupulous traders and sold for huge profits. In this work, the front-face excitation-emission matrix (FF-EEM) fluorescence spectroscopy coupled with interpretable deep ...

An interpretive constrained linear model for ResNet and MgNet.

Neural networks : the official journal of the International Neural Network Society
We propose a constrained linear data-feature-mapping model as an interpretable mathematical model for image classification using a convolutional neural network (CNN). From this viewpoint, we establish detailed connections between the traditional iter...

PLA-GNN: Computational inference of protein subcellular location alterations under drug treatments with deep graph neural networks.

Computers in biology and medicine
The aberrant protein sorting has been observed in many conditions, including complex diseases, drug treatments, and environmental stresses. It is important to systematically identify protein mis-localization events in a given condition. Experimental ...

Analysis and forecasting of national marine litter based on coastal data in South Korea from 2009 to 2021.

Marine pollution bulletin
In this study, statistical analysis and forecasting were performed using coastal litter data of Korea. The analysis indicated that rope and vinyl accounted for the highest proportion of coastal litter items. The statistical analysis of the national c...

Overview of Spiking Neural Network Learning Approaches and Their Computational Complexities.

Sensors (Basel, Switzerland)
Spiking neural networks (SNNs) are subjects of a topic that is gaining more and more interest nowadays. They more closely resemble actual neural networks in the brain than their second-generation counterparts, artificial neural networks (ANNs). SNNs ...

Unpaired low-dose computed tomography image denoising using a progressive cyclical convolutional neural network.

Medical physics
BACKGROUND: Reducing the radiation dose from computed tomography (CT) can significantly reduce the radiation risk to patients. However, low-dose CT (LDCT) suffers from severe and complex noise interference that affects subsequent diagnosis and analys...

Rapid estimation approach for glycosylated serum protein of human serum based on the combination of deep learning and TD-NMR technology.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Rapid and precise estimation of glycosylated serum protein (GSP) of human serum is of great importance for the treatment and diagnosis of diabetes mellitus. In this study, we propose a novel method for estimation of GSP level based on the combination...

Highly Performing Automatic Detection of Structural Chromosomal Abnormalities Using Siamese Architecture.

Journal of molecular biology
The detection of structural chromosomal abnormalities (SCA) is crucial for diagnosis, prognosis and management of many genetic diseases and cancers. This detection, done by highly qualified medical experts, is tedious and time-consuming. We propose a...