AIMC Topic: Algorithms

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Deep learning solution for medical image localization and orientation detection.

Medical image analysis
Magnetic Resonance (MR) imaging plays an important role in medical diagnosis and biomedical research. Due to the high in-slice resolution and low through-slice resolution nature of MR imaging, the usefulness of the reconstruction highly depends on th...

Data governance functions to support responsible data stewardship in pediatric radiology research studies using artificial intelligence.

Pediatric radiology
The integration of human and machine intelligence promises to profoundly change the practice of medicine. The rapidly increasing adoption of artificial intelligence (AI) solutions highlights its potential to streamline physician work and optimize cli...

Invariant transformers of Robinson and Foulds distance matrices for Convolutional Neural Network.

Journal of bioinformatics and computational biology
The evolutionary histories of genes are susceptible of differing greatly from each other which could be explained by evolutionary variations in horizontal gene transfers or biological recombinations. A phylogenetic tree would therefore represent the ...

Bidirectional Graphormer for Reactivity Understanding: Neural Network Trained to Reaction Atom-to-Atom Mapping Task.

Journal of chemical information and modeling
This work introduces , a new algorithm for reaction atom-to-atom mapping (AAM) based on a transformer neural network adopted for the direct processing of molecular graphs as sets of atoms and bonds, as opposed to SMILES/SELFIES sequence-based approac...

Visualization of a Machine Learning Framework toward Highly Sensitive Qualitative Analysis by SERS.

Analytical chemistry
Surface-enhanced Raman spectroscopy (SERS), providing near-single-molecule-level fingerprint information, is a powerful tool for the trace analysis of a target in a complicated matrix and is especially facilitated by the development of modern machine...

A Two-Stage Feature Point Detection and Marking Approach Based on the Labeled Multi-Bernoulli Filter.

Sensors (Basel, Switzerland)
In recent years, various algorithms using random finite sets (RFS) to solve the issue of simultaneous localization and mapping (SLAM) have been proposed. Compared with the traditional method, the advantage of the RFS method is that it can avoid data ...

Integrating Deep Learning-Based IoT and Fog Computing with Software-Defined Networking for Detecting Weapons in Video Surveillance Systems.

Sensors (Basel, Switzerland)
Due to the widespread proliferation of multimedia traffic resulting from Internet of Things (IoT) applications and the increased use of remote multimedia-based applications, as a consequence of COVID-19, there is an urgent need to develop intelligent...

Study on TLS Point Cloud Registration Algorithm for Large-Scale Outdoor Weak Geometric Features.

Sensors (Basel, Switzerland)
With the development of societies, the exploitation of mountains and forests is increasing to meet the needs of tourism, mineral resources, and environmental protection. The point cloud registration, 3D modeling, and deformation monitoring that are i...

Recurrent neural network based high-precision position compensation control of magnetic levitation system.

Scientific reports
For improving the dynamic quality and steady-state performance, the hybrid controller based on recurrent neural network (RNN) is designed to implement the position control of the magnetic levitation ball system in this study. This hybrid controller c...