AI Medical Compendium Topic:
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Global-Local Transformer for Brain Age Estimation.

IEEE transactions on medical imaging
Deep learning can provide rapid brain age estimation based on brain magnetic resonance imaging (MRI). However, most studies use one neural network to extract the global information from the whole input image, ignoring the local fine-grained details. ...

Software Defect Prediction Based on Hybrid Swarm Intelligence and Deep Learning.

Computational intelligence and neuroscience
In order to improve software quality and testing efficiency, this paper implements the prediction of software defects based on deep learning. According to the respective advantages and disadvantages of the particle swarm algorithm and the wolf swarm ...

NeuroVis: Real-Time Neural Information Measurement and Visualization of Embodied Neural Systems.

Frontiers in neural circuits
Understanding the real-time dynamical mechanisms of neural systems remains a significant issue, preventing the development of efficient neural technology and user trust. This is because the mechanisms, involving various neural spatial-temporal ingred...

Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks.

Sensors (Basel, Switzerland)
This work outlines an approach for localizing anomalies in nuclear reactor cores during their steady state operation, employing deep, one-dimensional, convolutional neural networks. Anomalies are characterized by the application of perturbation diagn...

An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology.

Medical & biological engineering & computing
Physics-based analyses have the potential to consolidate and substantiate medical diagnoses in rhinology. Such methods are frequently subject to intense investigations in research. However, they are not used in clinical applications, yet. One issue p...

Comparison of Semi-Quantitative Scoring and Artificial Intelligence Aided Digital Image Analysis of Chromogenic Immunohistochemistry.

Biomolecules
Semi-quantitative scoring is a method that is widely used to estimate the quantity of proteins on chromogen-labelled immunohistochemical (IHC) tissue sections. However, it suffers from several disadvantages, including its lack of objectivity and the ...

Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread.

IEEE transactions on cybernetics
Recently, deep convolutional neural networks have achieved significant success in salient object detection. However, existing state-of-the-art methods require high-end GPUs to achieve real-time performance, which makes it hard to adapt to low cost or...

Design of Secure Microcontroller-Based Systems: Application to Mobile Robots for Perimeter Monitoring.

Sensors (Basel, Switzerland)
This paper describes an original methodology for the design of microcontroller-based physical security systems and its application for the system of mobile robots. The novelty of the proposed methodology lies in combining various design algorithms on...

Hyperparameter Optimization Techniques for Designing Software Sensors Based on Artificial Neural Networks.

Sensors (Basel, Switzerland)
Software sensors are playing an increasingly important role in current vehicle development. Such soft sensors can be based on both physical modeling and data-based modeling. Data-driven modeling is based on building a model purely on captured data wh...

Methodology for preparing a cosmetic sample for the development of Microorganism Detection System (SDM) software and artificial intelligence learning to recognize specific microbial species.

Annals of agricultural and environmental medicine : AAEM
INTRODUCTION AND OBJECTIVE: The article presents the methodology of preparing a cosmetic sample for analysi, and the creation of a dataset for teaching artificial intelligence to recognize specific species of microorganisms in cosmetic samples in ter...