AIMC Topic: Algorithms

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Defects Recognition Algorithm Development from Visual UAV Inspections.

Sensors (Basel, Switzerland)
Aircraft maintenance plays a key role in the safety of air transport. One of its most significant procedures is the visual inspection of the aircraft skin for defects. This is mainly carried out manually and involves a high skilled human walking arou...

An Improved Deep Neural Network Model of Intelligent Vehicle Dynamics via Linear Decreasing Weight Particle Swarm and Invasive Weed Optimization Algorithms.

Sensors (Basel, Switzerland)
We propose an improved DNN modeling method based on two optimization algorithms, namely the linear decreasing weight particle swarm optimization (LDWPSO) algorithm and invasive weed optimization (IWO) algorithm, for predicting vehicle's longitudinal-...

Marine Application Evaluation of Monocular SLAM for Underwater Robots.

Sensors (Basel, Switzerland)
With the development of artificial intelligence technology, visual simultaneous localization and mapping (SLAM) has become a cheap and efficient localization method for underwater robots. However, there are many problems in underwater visual SLAM, su...

Development of Deep-Learning-Based Single-Molecule Localization Image Analysis.

International journal of molecular sciences
Recent developments in super-resolution fluorescence microscopic techniques (SRM) have allowed for nanoscale imaging that greatly facilitates our understanding of nanostructures. However, the performance of single-molecule localization microscopy (SM...

A neural network-based algorithm for simultaneous event positioning and timestamping in monolithic scintillators.

Physics in medicine and biology
. Monolithic scintillator crystals coupled to silicon photomultiplier (SiPM) arrays are promising detectors for PET applications, offering spatial resolution around 1 mm and depth-of-interaction information. However, their timing resolution has alway...

Feature Extraction of Athlete's Post-Match Psychological and Emotional Changes Based on Deep Learning.

Computational intelligence and neuroscience
Athletes have had to deal with significant shifts in the way they think about psychology and emotion before and after attending a match in their respective fields. It has become increasingly difficult for players of any sport to overcome these differ...

Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis.

Computational intelligence and neuroscience
Geometric ability includes elements of identification, conceptualization, combination, drawing, and reasoning, and graphic perception is an important part of it. Kindergarten science education includes geometry instruction. Children are guided to per...

Network Security Situation Prediction Model Based on EMD and ELPSO Optimized BiGRU Neural Network.

Computational intelligence and neuroscience
In order to improve the accuracy of network security situation prediction and the convergence speed of prediction algorithm, this paper proposes a combined prediction model (EMD-ELPSO-BiGRU) based on empirical mode decomposition (EMD) and improved pa...

Fuzzy Medical Computer Vision Image Restoration and Visual Application.

Computational and mathematical methods in medicine
In order to shorten the image registration time and improve the imaging quality, this paper proposes a fuzzy medical computer vision image information recovery algorithm based on the fuzzy sparse representation algorithm. Firstly, by constructing a c...

Multisemantic Level Patch Merger Vision Transformer for Diagnosis of Pneumonia.

Computational and mathematical methods in medicine
The most popular test for pneumonia, a serious health threat to children, is chest X-ray imaging. However, the diagnosis of pneumonia relies on the expertise of experienced radiologists, and the scarcity of medical resources has forced us to conduct ...