AIMC Topic: Algorithms

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Nonlinear motor-mechanism coupling tank gun control system based on adaptive radial basis function neural network optimised computed torque control.

ISA transactions
This study investigates the spatial pointing control of a motor-mechanism coupling tank gun. The tank gun control system (TGCS) is driven and stabilised by the motor servo system. However, complicated nonlinearities in the TGCS are inevitable, such a...

Meta multi-task nuclei segmentation with fewer training samples.

Medical image analysis
Cells/nuclei deliver massive information of microenvironment. An automatic nuclei segmentation approach can reduce pathologists' workload and allow precise of the microenvironment for biological and clinical researches. Existing deep learning models ...

Optimized convolution neural network based multiple eye disease detection.

Computers in biology and medicine
World health organization (WHO) reports around 2.2 billion people in the world as visually challenged which is mostly due to the age-related eye diseases such as age-related macular degeneration (AMD), cataract, diabetic retinopathy (DR) and glaucoma...

Strategies for Generating Footsteps of Biped Robots in Narrow Sight.

Sensors (Basel, Switzerland)
In this paper, we present a strategy for a legged robot to stably cross cinder blocks with a limited area acquired from a camera. First, we used the point cloud acquired from the camera to detect the planes and calculate their centroids and direction...

Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network.

Sensors (Basel, Switzerland)
Accurate vehicle classification and tracking are increasingly important subjects for intelligent transport systems (ITSs) and for planning that utilizes precise location intelligence. Deep learning (DL) and computer vision are intelligent methods; ho...

Intelligent career planning via stochastic subsampling reinforcement learning.

Scientific reports
Career planning consists of a series of decisions that will significantly impact one's life. However, current recommendation systems have serious limitations, including the lack of effective artificial intelligence algorithms for long-term career pla...

An Intelligent Recommendation Method for Tourist Attractions Based on Deep Learning.

Computational intelligence and neuroscience
Tourists are the people who can be seen all over the world. Therefore, this has increased the demand for product supply in tourist locations. Technological development would be the only solution to solve those issues related to the demand and supply ...

The Use of BP Neural Network Algorithm and Natural Language Processing in the Impact of Social Audit on Enterprise Innovation Ability.

Computational intelligence and neuroscience
At present, there are still some problems in the document management of enterprise innovation projects, such as non-standard management, lagging update, chaotic content, insufficient information, and insufficient application. There is still a lack of...

Efficient Liver Segmentation from Computed Tomography Images Using Deep Learning.

Computational intelligence and neuroscience
Segmentation of a liver in computed tomography (CT) images is an important step toward quantitative biomarkers for a computer-aided decision support system and precise medical diagnosis. To overcome the difficulties that come across the liver segment...

Predictive models for human-AI nexus in group decision making.

Annals of the New York Academy of Sciences
Machine learning (ML) and artificial intelligence (AI) have had a profound impact on our lives. Domains like health and learning are naturally helped by human-AI interactions and decision making. In these areas, as ML algorithms prove their value in ...