AIMC Topic: Algorithms

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A fractional gradient descent algorithm robust to the initial weights of multilayer perceptron.

Neural networks : the official journal of the International Neural Network Society
For multilayer perceptron (MLP), the initial weights will significantly influence its performance. Based on the enhanced fractional derivative extend from convex optimization, this paper proposes a fractional gradient descent (RFGD) algorithm robust ...

The synergy of synchrotron imaging and convolutional neural networks towards the detection of human micro-scale bone architecture and damage.

Journal of the mechanical behavior of biomedical materials
The growing health and economic burden of bone fractures, their intricate multiscale features and the existing knowledge gaps in the comprehension of micro-scale bone damage occurrence make fracture diagnosis a challenging issue. In this scenario, de...

Rolling Bearing Fault Diagnosis Using Hybrid Neural Network with Principal Component Analysis.

Sensors (Basel, Switzerland)
With the rapid development of fault prognostics and health management (PHM) technology, more and more deep learning algorithms have been applied to the intelligent fault diagnosis of rolling bearings, and although all of them can achieve over 90% dia...

UNav: An Infrastructure-Independent Vision-Based Navigation System for People with Blindness and Low Vision.

Sensors (Basel, Switzerland)
Vision-based localization approaches now underpin newly emerging navigation pipelines for myriad use cases, from robotics to assistive technologies. Compared to sensor-based solutions, vision-based localization does not require pre-installed sensor i...

Efficient Object Detection Based on Masking Semantic Segmentation Region for Lightweight Embedded Processors.

Sensors (Basel, Switzerland)
Because of the development of image processing using cameras and the subsequent development of artificial intelligence technology, various fields have begun to develop. However, it is difficult to implement an image processing algorithm that requires...

Machine Learning Models to Predict Protein-Protein Interaction Inhibitors.

Molecules (Basel, Switzerland)
Protein-protein interaction (PPI) inhibitors have an increasing role in drug discovery. It is hypothesized that machine learning (ML) algorithms can classify or identify PPI inhibitors. This work describes the performance of different algorithms and ...

A Graph Neural Network Approach for the Analysis of siRNA-Target Biological Networks.

International journal of molecular sciences
Many biological systems are characterised by biological entities, as well as their relationships. These interaction networks can be modelled as graphs, with nodes representing bio-entities, such as molecules, and edges representing relations among th...

Multi-factor settlement prediction around foundation pit based on SSA-gradient descent model.

Scientific reports
With the rise of machine learning, a lot of excellent algorithms are used for settlement prediction. Backpropagation (BP) and Elman are two typical algorithms based on gradient descent, but their performance is greatly affected by the random selectio...

Reinforcement learning for robust stabilization of nonlinear systems with asymmetric saturating actuators.

Neural networks : the official journal of the International Neural Network Society
We study the robust stabilization problem of a class of nonlinear systems with asymmetric saturating actuators and mismatched disturbances. Initially, we convert such a robust stabilization problem into a nonlinear-constrained optimal control problem...

Countering a Drone in a 3D Space: Analyzing Deep Reinforcement Learning Methods.

Sensors (Basel, Switzerland)
Unmanned aerial vehicles (UAV), also known as drones have been used for a variety of reasons and the commercial drone market growth is expected to reach remarkable levels in the near future. However, some drone users can mistakenly or intentionally f...